Symmetric Cryptographic Framework for Network Security
Kanagaraj Narayanasamy1, Padmapriya Arumugam2

1Kanagaraj Narayanasamy, Alagappa University, Karaikudi, India.
2Padmapriya Arumugam, Alagappa University, Karaikudi, India. 

Manuscript received on 04 August 2019 | Revised Manuscript received on 08 August 2019 | Manuscript published on 30 August 2019 | PP: 3803-3808 | Volume-8 Issue-10, August 2019 | Retrieval Number: J99860881019/2019©BEIESP | DOI: 10.35940/ijitee.J9986.0881019
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: In this rapidly developing digital environment, a single cryptographic algorithm becomes inefficient and incapable to hold the secrecy of data. A symmetric cryptographic framework is proposed which provides the platform for using the existing and future algorithms in a secured manner. In this research paper, totally six algorithms have been taken into the framework, two algorithms for text, three algorithms for image, and one algorithm for video. The algorithms are grouped into the proposed symmetric encryption framework which provides better network security for the adopted environment. Cryptanalysis and brute force attack have been done to assess the strength of the algorithms incorporated in the framework. Character repetition frequency and brute force attack are analyzed for text encryption algorithms. Mean values, Entropy measure, Differential attack and brute force attack are analyzed and used to assess the reliability of the image and video encryption algorithms. The framework is designed in such a way to adopt the existing and future algorithms. The proposed framework provides a bridge to achieve quality, upgradability, maintainability, and longer usability in applied applications.
Keywords: Cryptanalysis, Framework, Randomized Framework, Symmetric Algorithms.
Scope of the Article: Patterns and Frameworks