alexa A Concealed Data Aggregation Using Privacy Homomorphism in Wireless Sensor Networks
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

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Special Issue Article

A Concealed Data Aggregation Using Privacy Homomorphism in Wireless Sensor Networks

B. Steffi Diana, S. Vijayakumar
  1. TIFAC-CORE in Pervasive Computing Technologies, Velammal Engineering College, chennai, India.
  2. TIFAC-CORE in Pervasive Computing Technologies, Velammal Engineering College, chennai, India.
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Abstract

Data aggregation is a process in which data is collected from the sensor nodes and sent to the base station via cluster heads. Data aggregation schemes are vulnerable to various security attacks. Such Attacks take place compromising at the sensor node and cluster head levels. An adversary node eavesdrops the sensed data, modifies and injects forged data. Security plays a key role in the data aggregation process and the base station needs to confirm data integrity and authenticity. Data aggregation schemes based on privacy homomorphism (PH) provide better security compared with traditional aggregation. In PH based encryption the cluster heads can directly aggregate the cipher texts without decryption. The proposed System is based on privacy homomorphism encryption and uses elliptic curve Cryptography (algorithm) to encrypt the sensed data. And this system deals with transmitting difference data rather than the raw sensed data from sensor node. Compared to the existing aggregation schemes, the differential data transfer achieves more energy efficiency and increase in the packet delivery ratio.

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