Towards Developing Secure Data Aggregation with Integrity Verification Model (SDA-IV) in People Centric Sensing Systems
K.R. Jansi1, S.V. Kasmir Raja2

1Mrs. K.R.Jansi*, Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
2Dr. S.V.Kasmir Raja, Adjunct Professor, Department of IQAC, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on November 14, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 828-836 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3945129219/2020©BEIESP | DOI: 10.35940/ijeat.B3945.129219
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Abstract: In present scenario of vast developments in wireless communication methods, embedded device based operations and mobile communications, sensor based techniques are widely adopted. Such systems are termed as People Centric Sensing Systems, which become very popular and acquires greater attention of researchers recently. However, security and privacy in transmitting data has been the major issue in People Centric Sensing Network (PCSN). For handling that problem efficiently, this paper presents a model called Security Data Aggregation and Integrity Verification (SDA-IV) model for providing privacy preserved data sharing between devices in PCSN. A new peer-to-peer oriented secure data sharing is achieved with the proposed model by making the user to shares their data randomly with other nodes along with the incorporating of integrity checking conceit. Moreover, the work comprises four phases: Initial Setup, Data Division and Encryption, Data Aggregation and Integrity Verification. Homomorphic Message Authentication Code is user for privacy preserving process and Hashing Functions are incorporated for integrity verification of shared data. Furthermore, the efficiency of the proposed SDA-IC model is evidenced using simulation results and comparative evaluations.
Keywords: People Centric Sensing Network, Privacy Preserving, Secure Data Aggregation, Integrity Verification, Homomorphic Encryption and MAC.