Volume-1 Issue-3, August 2012 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

B0203071312

IJITEE Journal — Fri, 29 Oct 2021 09:53:31 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. Challenges of Industry and their Solutions, Communications #Advanced Manufacturing Technologies #Artificial Intelligence #Autonomous Robots #Augmented Reality #Big Data Analytics and Business Intelligence #Cyber Physical Systems (CPS) #Digital Clone or Simulation #Industrial Internet of Things (IIoT) #Manufacturing IoT #Plant Cyber Security #Smart Solutions – Wearable Sensors and Smart Glasses #System Integration #Small Batch Manufacturing #Visual Analytics #Virtual Reality #3D Printing # Internet of Things (IoT) #Internet of Things (IoT) & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Block Chain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Microwaves and Photonics #Microwave filter #Micro Strip antenna #Microwave Link design #Microwave oscillator #Frequency selective surface #Microwave Antenna #Microwave Photonics #Radio over Fibre #Optical Communication, #Optical Oscillator #Optical Link Design #Optical Phase Lock Loop #Optical Devices #Computation Intelligence and Analytics #Soft Computing #Advance Ubiquitous Computing #Parallel Computing #Distributed Computing #Machine Learning #Information Retrieval #Expert Systems #Data Mining #Text Mining #Data Warehousing #Predictive Analysis #Data Management #Big Data Analytics #Big Data Security #Energy Harvesting and Wireless Power Transmission #Energy Harvesting and Transfer for Wireless Sensor Networks #Economics of Energy Harvesting Communications #Waveform Optimization for Wireless Power Transfer #RF Energy Harvesting #Wireless Power Transmission #Microstrip Antenna Design and Application #Wearable Textile Antenna #Luminescence #Rectenna #Advance Concept of Networking and Database #Computer Network #Mobile Adhoc Network #Image Security #Application Artificial Intelligence and Machine Learning in the Field of Network and Database #Data Analytic #High Performance Computing #Pattern Recognition #Machine Learning (ML) and Knowledge Mining (KM) #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Natural Language Processing #Probabilistic Models and Methods #Reasoning and inference #Marketing and Social Sciences #Data Mining #Knowledge Discovery #Web Mining #Information Retrieval #Design and Diagnosis #Game Playing #Streaming Data #Music Modelling and Analysis #Robotics and Control #Multi-Agent Systems #Bioinformatics #Social Sciences #Industrial Financial and Scientific Applications of All Kind #Advanced Computer Networking Computational Intelligence #Data Management, Exploration, and Mining #Robotics #Artificial Intelligence and Machine Learning #Computer Architecture and VLSI #Computer Graphics, Simulation, and Modelling #Digital System and Logic Design #Natural Language Processing and Machine Translation #Parallel and Distributed Algorithms #Pattern Recognition and Analysis #Systems and Software Engineering #Nature Inspired Computing #Signal and Image Processing #Reconfigurable Computing #Cloud, Cluster, Grid and P2P Computing #Biomedical Computing #Advanced Bioinformatics #Green Computing #Mobile Computing #Nano Ubiquitous Computing #Context Awareness and Personalization, Autonomic and Trusted Computing #Cryptography and Applied Mathematics #Security, Trust and Privacy #Digital Rights Management #Networked-Driven Multicourse Chips #Internet Computing #Agricultural Informatics and Communication #Community Information Systems #Computational Economics, Digital Photogrammetric #Remote Sensing, GIS and GPS #Disaster Management #e-governance, e-Commerce, e-business, e-Learning #Forest Genomics and Informatics #Healthcare Informatics #Information Ecology and Knowledge Management #Irrigation Informatics #Neuro-Informatics #Open Source: Challenges and opportunities #Web-Based Learning: Innovation and Challenges #Soft computing Signal and Speech Processing #Natural Language Processing #Communications #Microstrip Antenna #Microwave #Radar and Satellite #Smart Antenna #MIMO Antenna #Wireless Communication #RFID Network and Applications #5G Communication #6G Communication #Algorithms and Complexity #Sequential, Parallel and Distributed Algorithms and Data Structures #Approximation and Randomized Algorithms #Graph Algorithms and Graph Drawing #On-Line and Streaming Algorithms #Analysis of Algorithms and Computational Complexity #Algorithm Engineering #Web Algorithms #Exact and Parameterized Computation #Algorithmic Game Theory #Computational Biology #Foundations of Communication Networks #Computational Geometry #Discrete Optimization #Software Engineering and Knowledge Engineering #Software Engineering Methodologies #Agent-Based Software Engineering #Artificial Intelligence Approaches to Software Engineering #Component-Based Software Engineering #Embedded and Ubiquitous Software Engineering #Aspect-Based Software Engineering #Empirical Software Engineering #Search-Based Software Engineering #Automated Software Design and Synthesis #Computer-Supported Cooperative Work #Automated Software Specification #Reverse Engineering #Software Engineering Techniques and Production Perspectives #Requirements Engineering #Software Analysis, Design and Modelling #Software Maintenance and Evolution #Software Engineering Tools and Environments #Software Engineering Decision Support #Software Design Patterns #Software Product Lines #Process and Workflow Management #Reflection and Metadata Approaches #Program Understanding and System Maintenance #Software Domain Modelling and Analysis #Software Economics #Multimedia and Hypermedia Software Engineering #Software Engineering Case Study and Experience Reports #Enterprise Software, Middleware, and Tools #Artificial Intelligent Methods, Models, Techniques #Artificial Life and Societies #Swarm Intelligence #Smart Spaces #Autonomic Computing and Agent-Based Systems #Autonomic Computing #Adaptive Systems #Agent Architectures, Ontologies, Languages and Protocols #Multi-Agent Systems #Agent-Based Learning and Knowledge Discovery #Interface Agents #Agent-Based Auctions and Marketplaces #Secure Mobile and Multi-Agent Systems #Mobile Agents #SOA and Service-Oriented Systems #Service-Centric Software Engineering #Service Oriented Requirements Engineering #Service Oriented Architectures #Middleware for Service Based Systems #Service Discovery and Composition #Service Level Agreements (Drafting, Negotiation, Monitoring and Management) #Runtime Service Management #Semantic Web #Data Modelling, Mining and Data Analytics #Aggregation, Integration, and Transformation #Web and Text Mining #Data Mining Methods, Techniques, and Tools #Data Analytics Modelling and Algorithms #Patterns and Frameworks #Data Visualization #Knowledge Systems and Engineering #Knowledge Acquisition #Knowledge-Based and Expert Systems #Knowledge Representation and Retrievals #Knowledge Engineering Tools and Techniques #Time and Knowledge Management Tools #Knowledge Modelling, Integration, Transformation, and Management, #Uncertainty Knowledge Management #Knowledge Visualization #Mobile Computing and Mobile System Engineering #Mobile App Design and Development #Innovative Mobile Applications #Pervasive Computing #Mobile System Validation and Test Automation #Software & System Quality of Service #Soft Computing #Software and System Testing Methods #Quality Assurance Process, Standards, and Systems #Software Safety Systems #Software Test Automation and Tools #Software Dependability, Reliability, Scalability #Software & System Security #Software and System Security and Privacy #Mobile App Security and Privacy #Encryption Methods and Tools #Security Service Systems #Cloud, Sensor Cloud and Mobile Cloud Security #Mobile System Integrity, Security and Fault Tolerance #Emergent Topics #Cloud Computing and Innovative Cloud-Based Application Systems #Mobile Cloud Computing and Application Services #Big Data Analytics Application Systems #Innovative Sensing Cloud and Systems #Large-Scale Cyber Systems #IoT and Smart City Application Systems #Big Data Quality Validation #Big Data Application Quality Services #Smart Learning and Innovative Education Systems #Learning Software Design Engineering #Smart Learning Methods and Environments #Online Learning Systems #Mobile Enabled Learning Systems and Tools #Computer Networks and Inventive Communication Technologies #Addressing & Location Management #Broadband Access Technologies #Adhoc and Sensor Networks #Cross Layer Design and Optimization #Heterogeneous Wireless Networks #High Speed Networks #Internet and Web Applications #Measurement & Performance Analysis #Mobile & Broadband Wireless Internet #Mobile Networks & Wireless LAN #Network Architectures #Network Based Applications #Network Protocols & Wireless Networks #Network Operations & Management #Network Security Trust, & Privacy #Next Generation Internet & Web Architectures #Peer to Peer and Overlay Networks #QOS And Resource Management #Recent Trends & Developments in Computer Networks #Routing, Switching and Addressing Techniques #Self-Organizing Networks and Networked Systems #Ubiquitous Networks #Virtual & Overlay Networks #Wireless Communications #Wireless Mesh Networks and Protocols #Wireless Multimedia Systems #Personal and Wearable Networks #Wireless ad hoc & Sensor Networks #Information-Centric Networking #Embedded Networks #Opportunistic Networking #Delay-Tolerant Networks #Cognitive Radio Networks #Vehicular Networks #Smart Grid Communications #Underwater Sensor Networks #Cyber-Physical Systems #Social Networks #Mobile and Ubiquitous Networking #Green Networking #Overlay and Peer-to-Peer Networks #Local-Area and Metropolitan-Area Networks #Storage-Area Networks #Routing and Transport Protocols #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Internet of Things #Link Technologies #Adaptive Networking Applications #Authentication, Authorization, Accounting #Security and Privacy #Cross-Layer Optimization #Mobility and Location-Dependent Services #Multimedia and Real-Time Communication #Machine-to-Machine Communications for Smart Environments #Smart Cities #Network Traffic Characterization and Measurements #Network Management, Reliability and QoS #Performance Evaluation of Networks #Testbeds for Network Experiments #Network Coding #Optical and High-Speed Access Networks #Resent Engineering and Nano Technology #Advanced Computing Architectures and New Programming Models #Bio-Science and Bio-Technology #Collaborative Applications #Communication Architectures for Pervasive Computing #Computer Vision #Computer Science and Its Applications #Computational Techniques in Civil Engineering #Control and Automation #Concrete Engineering #CAD/CAM/CIM #CAE #Database Theory and Application #Data Base Management System #Data Mining #Decision Making #Digital Signal Processing Theory #Distributed Sensor Networks #Distributed Computing #Mechanical Design #Evolutionary Computing and Intelligent Systems #Expert Approaches #Environmental Engineering #Fuzzy logics #Foundation Engineering #FEA #GPS and Location-Based Applications #Grid Networking/ Computing #GEOTECH Engineering #Highways #Human Computer Interaction (HCI) #Image Analysis and Processing #Information and Data Security #Internet Technologies, Infrastructure, Services & Applications #Nano Technology #Mobile Computing and Applications #Multimedia Communications #Network Modelling and Simulation #Network Performance, Protocols, Sensors #Networking Theory and Technologies #Open Models and Architectures #Pattern Recognition #Perception and Semantic Interpretation #Production #Real-Time Information Systems #Remote Sensing #Security Technology and Information Assurance #Soft Computing #Software Engineering & Its Applications #Signal Control System & Processing #Speech Interface, Speech processing #Structural Engineering #Thermal Engineering #Ubiquitous Multimedia Computing #Vision-Based Applications #VLSI Algorithms #Web Technologies #Textile Engineering #Recent on Mechanical Engineering and Technology #Fluid Mechanics #Applied Mathematics and Mechanics #Biomechanics #Heat Transfer #Solid Mechanics #Refrigeration and Air Conditioning #Renewable Energy Technology #Materials Engineering #Composite Materials #Marine Engineering #Petroleum and Mineral Resources Engineering #Textile Engineering #Industrial Engineering #Operational Research #Manufacturing Processes #Machine Design #Quality Control #Mechanical Maintenance #Tribology #CAD/CAM #Aeronautical Engineering #Production Engineering #Welding Technology #Robotics Engineering #Aerospace Engineering #Metallurgy #Rock Mechanics and Mining Sciences #Solid and Structural Mechanics #Theoretical and Applied Fracture Mechanics #Advance Civil Engineering and Technology #Assemblage and System #Behaviour of Structures #Behaviour of Structures under Seismic Loads #Building and Environmental Acoustics #Building Climate Systems #Building Energy #Civil and Environmental Engineering #Coastal Engineering #Composite Materials #Concrete Structures #Construction Economics #Construction Engineering #Design and Performance of Green Building #Design Optimization of Structures #Earthquake Engineering #Energy Efficient Building Technology #Energy Saving Building Materials #Evaluation of Building Envelope Systems under Structural and Environmental Loads #Evaluation of Glazing Systems for Energy Performance #Fire Engineering #Foundations Dynamics #Geotechnical Engineering #Health Monitoring and Life Prediction of Structures #High Performance Concrete #Hydraulic Engineering #Life Cycle Engineering #Materials and Durability #Materials Engineering #Mechanics and Materials Aspects of Advanced Construction Materials #Municipal or Urban Engineering #Nondestructive Testing and Evaluation #Numerical Modelling of Structures #Optimal Design of Structures #Properties and Mechanics of Concrete #Residential, Commercial, Industrial and Public Works #Seismic Evaluation of Building Nonstructural Components #Simulation Optimization and Risk Management #Soil-Structure Interaction #Structural Engineering #Structural Evaluation of Panelized and Masonry Wall Systems #Structural Reliability Analysis #Surveying #Sustainable Structures #Transportation Engineering #Ventilation and Indoor Air Quality #Water Supply and Drainage #PhD ademic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #ESCI #Science #Journal #Conference #SSRN #PubLons #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Cost Optimized Trends in Contouring using Hand Held GPS
Jyoti Shankar Prasad
Jyoti Shankar Prasad, Maulana Azad National Institute of Technology, Bhopal (M.P.), India.
Manuscript received on August 03, 2012. | Revised Manuscript received on August 06, 2012. | Manuscript published on August 10, 2012. | PP: 122-125 | Volume-1 Issue-3, August 2012. | Retrieval Number: B0203071312/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper reveals the use of hand – held Global Positioning System for the purpose of contouring. In this research, major stress is laid on the use of cheaper and accurate GPS along with the conventional instruments. A hand – held GPS is used to determine the position of the particular station and the corresponding reduced level of the occupied station is determined with respect to a Temporary Bench Mark. The data collected is interpolated using Surfer 8.0 software. The profile of the surface generated was found to be in accordance with the actual topography of the site. The accuracy of the hand – held GPS is also taken into account from the data collected from some of the researches undertaken by various organizations. Thus, the use of hand – held GPS along with the cheaper conventional leveling instruments for the purpose of contouring prove to be very cost effective and considerably accurate.
Keywords: Contouring, Surfer 8.0 Ssoftware, GPS

Download PDF

The post B0203071312 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

B0154061212

IJITEE Journal — Fri, 29 Oct 2021 09:50:44 +0000

Comparative Performance Analysis of Empirical and Radio Propagation Model for Bluetooth Indoor Localization
Idigo V.E¹, Azubogu A.C.O², Ohaneme C.O³, Isizoh A.N⁴
¹Idigo V.E., Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
²Azubogu A.C.O., Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
³Ohaneme C.O., Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
⁴Isizoh A.N., Department of Electronics and Computer Engineering, Nnamdi Azikiwe University, Awka, Nigeria.
Manuscript received on August 02, 2012. | Revised Manuscript received on August 10, 2012. | Manuscript published on August 10, 2012. | PP: 114-121 | Volume-1 Issue-3, August 2012. | Retrieval Number: B0154061212/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This work presents the possibility of using channel simulated results as alternative to site measurement for RSS based indoor localization. Three reference radio maps were generated for on-site measurement, Wall Attenuation factor (WAF) and Ray Tracer (RT) channel models. The Bayesian localization algorithm was applied to the three radio maps. An important performance metric called localization error was used which depends on the resolution of the reference radio map. Results obtained show that the performance of an RT model is comparable to a system based on on-site measurement for grid resolutions greater than 10 meters, on the other hand, the WAF model produced results that are very close to the on-site results for grid resolutions less than 8 meters
Keywords: Grid resolution, Localization error, propagation model, Radio Channel, reference point

Download PDF

The post B0154061212 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

C0229071312

IJITEE Journal — Fri, 29 Oct 2021 09:46:58 +0000

Analysis and Comparison of Efficient Techniques of Clustering Algorithms in Data Mining
Shiv Pratap Singh Kushwah¹, Keshav Rawat², Pradeep Gupta³
¹Shiv Pratap Singh Kushwah, Department of CSE/IT, ITM Universe, Gwalior, India.
²Keshav Rawat, Department of CSE/IT, ITM Universe, Gwalior, India.
³Pradeep Gupta, Department of CSE/IT, GEC, Gwalior, India.
Manuscript received on August 01, 2012. | Revised Manuscript received on August 05, 2012. | Manuscript published on August 10, 2012. | PP: 109-113 | Volume-1 Issue-3, August 2012. | Retrieval Number: C0229071312/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper presents the comparison of data mining algorithms for clustering. These algorithms are among the most influential data mining algorithms in the research community. With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current and further research on the algorithm. These algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development.
Keywords: cluster, data mining, clustering method, k-mean.

Download PDF

The post C0229071312 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

C0227071312

IJITEE Journal — Fri, 29 Oct 2021 09:44:00 +0000

A Tailored Approach to Enhance Wireless LAN Security
Ankur Kumar Shrivastava¹, Ishan Ranjan², Abhinav Kumar³, Anant Kumar Rai⁴, Ramander Singh⁵, Archit Rastogi⁶, Nitisha Payal⁷, Amod Tiwari⁸
¹Ankur Kumar Shrivastava, CMJ University, Shillong, Meghalaya, India.
²Ishan Ranjan, Department of Computer Science MIET, Meerut, India.
³Abhinav Kumar, Mahindra SSG, Mumbai, India
⁴Anant Kumar Rai, NII Consulting, Mumbai, India.
⁵Ramander Singh, Department of Information Technology MIET, Meerut, India.
⁶Archit Rastogi, Department of Computer Science MIT, Meerut, India.
⁷Nitisha Payal, Department of Computer Science MIET, Meerut, India.
⁸Amod Tiwari, Department of Computer Science, PSIT, Kanpur, India.
Manuscript received on August 05, 2012. | Revised Manuscript received on August 09, 2012. | Manuscript published on August 10, 2012. | PP: 104-108 | Volume-1 Issue-3, August 2012. | Retrieval Number: C0227071312/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In the current business scenario world most organizations are moving from wire-connected networks to wireless networks. Thus there is a large growing market for Wireless LANS globally but there are various black holes, which is associated with such types of networks. This paper will provide an overview of the major risk threats and vulnerabilities in WLAN systems and finally we will present a holistic approach of securing Wireless Network.
Keywords: IEEE 802.11, SSID (Service Set Identifier), WEP (Wired Equivalent Privacy), Wi-Fi (Wireless Fidelity), WPA (Wi Fi Protected Access).

Download PDF

The post C0227071312 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

C0225071312

IJITEE Journal — Fri, 29 Oct 2021 09:38:26 +0000

Secure Data Transition over Multicast Routing in Wireless Mesh network
Adarsh. R¹, Ganesh Kumar. R², Jitendranath Mungara³
¹Adarsh.R, M.Tech, Computer Science and Engineering, CMRIT, Bangalore, India.
²Mr Ganesh Kumar R, Assoc Professor and HOD, Dept of ISE, CMRIT, Bangalore, India
³Dr. Jitendranath Mungara, Professor and Dean, Dept of CSE and ISE, CMRIT, Bangalore, India.
Manuscript received on August 06, 2012. | Revised Manuscript received on August 10, 2012. | Manuscript published on August 10, 2012. | PP: 98-103 | Volume-1 Issue-3, August 2012. | Retrieval Number: C0229071312/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Multicast routing for wireless mesh networks has focused on metrics that estimate link quality to maximize throughput. Nodes must collaborate in order to compute the path metric and forward data. The assumption that all nodes are honest and behave correctly during metric computation, propagation, and aggregation, as well as during data forwarding, leads to unexpected consequences in adversarial networks where compromised nodes act maliciously. In high-throughput multicast protocol in wireless mesh networks we identify novel attacks in wireless mesh networks. The attacks exploit the local estimation and global estimation of metric to allow attackers to attract a large amount of traffic. We show that these attacks are very effective against multicast protocols based on high-throughput metrics. We can say that aggressive path increases attack effectiveness in the absence of defense mechanism. Our approach to defend against the identified attacks combines measurement-based detection and accusation-based reaction techniques. The solution also accommodates transient network variations and is resilient against attempts to exploit the defense mechanism itself. A detailed security analysis of our defense scheme establishes bounds on the impact of attacks. We demonstrate both the attacks and our defense using ODMRP, a representative multicast protocol for wireless mesh networks, and SPP, an adaptation of the well-known ETX unicast metric to the multicast setting.
Keywords: DSA Key Generation, High-Throughput metrics , Wireless mesh Network, Secure Data transition.

Download PDF

The post C0225071312 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

C0224071312

IJITEE Journal — Fri, 29 Oct 2021 09:35:00 +0000

Multimedia Content protection Based on Commutative Watermarking and Cryptographic Technique
B. Rajesh kumar¹, CH. Sai Murali²
¹B. Rajesh kumar, PG Student(M.Tech), CSE Dept., ASCET, Gudur, India.
²CH. Sai Murali, Asst. Professor, CSE Dept., ASCET, Gudur, India.
Manuscript received on July 11, 2012. | Revised Manuscript received on July 25, 2012. | Manuscript published on August 10, 2012. | PP: 94-97 | Volume-1 Issue-3, August 2012. | Retrieval Number: C0224071312/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Watermarking embeds information into a digital signal like images. Watermarking Technologies are being regarded as a vital mean to proffer copyright protection of digital signals. The effectiveness of watermarking and Encryption technique is indicated by the robustness of embedded watermarks against various attacks such as, Rotation, Resizing, etc. In this paper, a novel Commutative Watermarking and Partial Encryption technique using single level 2-Dimension Discrete Wavelet Transform and Multi-Map Orbit Hopping Chaotic System is proposed. In proposed system, the low-low sub-band decomposition is only encrypted. So, it is able to reduce the encryption to one quarter of the image information and the watermark image is embedded into the selected high sub-1bands. The results of the security analysis shows that the proposed algorithm provides a high security level for real time application.
Keywords: Chaos, Partial Encryption, Watermarking, DWT.

Download PDF

The post C0224071312 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

C0223071312

IJITEE Journal — Fri, 29 Oct 2021 09:30:09 +0000

Comparative Analysis of DCT, DWT &LWT for Image Compression
Preet Kaur¹, Geetu lalit²
¹Asst. Prof. Preet Kaur, ECE Department, YMCAUST, Faridabad, India.
²Geetu Lalit, ECE Department, YMCAUST, Faridabad, India.
Manuscript received on August 01, 2012. | Revised Manuscript received on August 05, 2012. | Manuscript published on August 10, 2012. | PP: 90-93 | Volume-1 Issue-3, August 2012. | Retrieval Number: C0223071312/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image compression is a method through which we can reduce the storage space of images, videos which will helpful to increase storage and transmission process’s performance. In image compression, we do not only concentrate on reducing size but also concentrate on doing it without losing quality and information of image. In this paper, we present the comparison of the performance of Discrete cosine transform, Discrete wavelet transform & Lifting wavelet transform for implementation in a still image compression system and to highlight the benefit of these transforms relating to today’s methods. The performance of these transforms are compared in terms of Peak-signal-to-noise ratio (PSNR), Signal to noise ratio SNR, Mean squared error (MSE), Energy Retained (ER) & Execution time etc.
Keywords: DWT, DCT, LWT, image compression.

Download PDF

The post C0223071312 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

C0221071312

IJITEE Journal — Fri, 29 Oct 2021 09:22:21 +0000

An Efficient Approach For Avoiding Down Time of Production Data Base Server in Active/Passive Windows Failover Clustering Environment
A.Arockia Aswini¹, V.R.Manisankar², J.Jagadeesan³
¹A.Arockia Aswni, Assistant Professor (OG), SRM University, India.
²V.R.Manisankar, M.Tech Student, SRM University, India.
³J.Jagadeesan, Assistant Professor (SG), SRM University, India.
Manuscript received on July 25, 2012. | Revised Manuscript received on July 30, 2012. | Manuscript published on August 10, 2012. | PP: 86-89 | Volume-1 Issue-3, August 2012. | Retrieval Number: C0221071312/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Modern IT department facing immense challenge is to ensure the production Server availability at all times. To avoid downtime of Production Server, High availability Solution should be implemented like Microsoft Windows Failover Clustering. Microsoft Failover Windows Cluster provides the automatic failover to the standby node if a hardware (RAM, SMPS, CPU and etc…) failure or software failure (OS, SQL Server and etc…) occurs. Failover automatically occurs if the primary server fails. In this case, Active/passive two node windows Cluster is implemented along with SQL Server cluster. Windows Failover cluster will not failover for the customized application services which are node specific. In three tier architecture (Web, App and DB), SQL Server Database instance installed in Cluster Environment as it has capable of failover to the passive node if primary node SQL instance or with Server level Software/Hardware failure occurs. Suppose, if any Application dependent Services which is installed in Primary Node which is required for providing interface between Web and Database Servers will not failover to the secondary node even though SQL Server and Cluster resources can does. Again, there will be a showstopper of entire business due to this application dependent services non-working. Intention of this paper is to provide the solution for how to failover such dependent application services to the passive node along with Cluster Services in order to avoid downtime.
Keywords: architecture, Application, windows, showstopper, SQL

Download PDF

The post C0221071312 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

C0219071312

IJITEE Journal — Fri, 29 Oct 2021 09:17:43 +0000

Secure and Dependable Cloud Services for TPA in Cloud Computing
Nandeesh. B.B¹, Ganesh Kumar R², Jitendranath Mungara³
¹Nandeesh.B.B, 4th Sem, M-Tech Dept of CSE, CMR Institute of Technology, Bangalore, India.
²Mr. Ganesh Kumar R, HOD, Dept of ISE, CMRIT, Bangalore, India.
³Dr. Jitendranath Mungara, Prof & Dean, PG Programme, Dept of CSE &ISE, CMRIT, Bangalore, India.
Manuscript received on August 01, 2012. | Revised Manuscript received on August 05, 2012. | Manuscript published on August 10, 2012. | PP: 80-85 | Volume-1 Issue-3, August 2012. | Retrieval Number: C0219071312/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The cloud storage provides users to easily store their data and enjoy the good quality cloud applications need not install in local hardware and software system. So benefits are clear, such a service is also gives users’ physical control of their outsourced data, which provides control over security problems towards the correctness of the storage data in the cloud. In order to do this new problem and further achieve a secure and dependable cloud storage services, we propose in this paper a flexible distributed storage integrity auditing mechanism, using the homomorphism token and distributed erasure-coded data. We are also proposing allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of hacker information. And securely introduce an effective TPA, the auditing process should bring in no new vulnerabilities towards user data privacy, and introduce no additional online burden to user. In this paper, we propose a secure cloud storage system supporting privacy preserving public auditing. We further extend our result to enable the TPA to perform audits for multiple users simultaneously and efficiently. This shows the proposed scheme is highly efficient and data modification attack, and even server colluding attacks
Keywords: Data integrity, dependable distributed storage, error localization, data dynamics, Cloud Computing.

Download PDF

The post C0219071312 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

C0218071312

IJITEE Journal — Fri, 29 Oct 2021 09:14:30 +0000

Economic Generation of Electrical Power by using SFL Algorithm
Shaik Ghouse Basha¹, P B Chennaiah², Kandalam Giridhar³
¹Shaik Ghouse Basha, EEE, AITS, Rajampet, Kadapa ,A.P, India.
²P B Chennaiah, EEE, Associate Professor, AITS, Rajampet, A.P, India.
³Kandalam Giridhar, EEE K.S.R.M, Kadapa, A.P, India.
Manuscript received on July 15, 2012. | Revised Manuscript received on August 01, 2012. | Manuscript published on August 10, 2012. | PP: 72-74 | Volume-1 Issue-3, August 2012. | Retrieval Number: C0218071312/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: An important criterion in power system operation is to meet the power demand at minimum fuel cost using an optimal mix of different power plants. Moreover, in order to supply electric power to customers in a secured and economic manner, unit commitment (UC) is considered to be one of the best available options. The problem of unit commitment (UC) is to decide which units to inter connect over the next T hours, where T is commonly daily or weekly duration of time. The problem is complicated by the presence of constraints and also it is complicated because it involves integer decision variables, i.e., a unit is either committed or not. In this paper SFLA algorithm is used for the solution of UC by meeting all its constraints. Minimum up and minimum down constrains are directly coded. This SFLA algorithm has been applied to 10 generating units considered for one day scheduling period
Keywords: Economic dispatch, generation scheduling, optimization techniques, unit commitment.

Download PDF

The post C0218071312 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).