Multiple Sensor Application Using Secure Data Aggregation

Sasikala .G, Vinodhkumar .S

Abstract


For wireless sensor networks, data aggregation scheme that reduces a large amount of transmission is the most practical technique. In previous studies, Homomorphic encryptions have been applied to conceal communication during aggregation such that enciphered data can be aggregated algebraically without decryption. Since aggregators collect data without decryption, adversaries are not able to forge aggregated results by compromising them. However, these schemes are not satisfy multi-application environments. Second, these schemes become insecure in case some sensor nodes are compromised. Third, these schemes do not provide secure counting; thus, they may suffer unauthorized aggregation attacks. The problem of present study entitled as “MULTIPLE SENSOR APPLICATION USING SECURE DATA AGGREGATION”. Therefore, a new concealed data aggregation scheme is proposed to extended from Homomorphic public encryption system. The proposed scheme has three contributions. First, it is designed for a multi-application environment. The base station extracts application-specific data from aggregated cipher texts. Next, it mitigates the impact of compromising attacks in single application environments. Finally, it degrades the damage from unauthorized aggregations. To prove the proposed scheme’s robustness and efficiency, we also conducted the comprehensive analyses and comparisons in the end.  I also include the timer which is used to the base station can detect the attacker entering into the system and sends the indication message to sensor node.

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References


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DOI: https://doi.org/10.23956/ijarcsse/V7I7/0155

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