OLPSO_Iot:A Privacy Preservation Encrypted Data For Internet of Things (Iot) Data Security in Cloud Computation Environment
P. Appala Naidu1, K. Deepthi Krishna Yadav2

1P.Appala Naidu*, Professor Department of Computer Science and Engineering, Sri Indu College of Engineering and Technology (Autonomous), Hyderabad,  Telagana, India.
2K.Deepthi Krishna Yadav, Assistant Professor, Department of Computer Science and Engineering, Vignan’s Institute of Engineering for Women (VIEW), Visakhapatnam, (Andhra Pradesh), India.
Manuscript received on December 15, 2019. | Revised Manuscript received on December 24, 2019. | Manuscript published on January 10, 2020. | PP: 3636-3641 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7820129219/2020©BEIESP | DOI: 10.35940/ijitee.C8537.019320
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 (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The Internet of Things connected devices will send data to cloud storage but cloud storage management carries their applications without any infrastructure investment by distributed computing. Therefore, manyindustries are doing their business in the cloud. For a while,the processing ofthe original data setand several intermediate data sets wasrendered by data-intensive applications. However, a challenging task is to support the privacy of the intermediate data set. Inourearlier research, optimal privacy preserving based data search in the cloud was presented using cuckoo search encryption algorithm toimprove the security. In this paper applied the orthogonal learning PSO(OLPSO) algorithm to help secure the IoT data in a cloud environment and improve the data transfer as well as decrease the data loss rate with efficient memory. 
Keywords: Internet of Things (Iot), Cloud Computation, Environment
Scope of the Article:  Internet of Things (IoT)