Secure Data Aggregation in Smart Sensor Applications

Speaker:  Mohamed Elhoseny – Mansoura, Egypt
Topic(s):  Security and Privacy

Abstract

Despite the great efforts to secure data aggregation in smart sensors applications, the dynamic nature and the limited resources of sensor nodes make searching for a secure and optimal network structure an open challenge. In this lecture, a new encryption schema is proposed based on Elliptic Curve Cryptography (ECC) and Homomorphic Encryption to secure data aggregation in smart and complex environments. ECC is used to generate public and private keys for sensor nodes due to its ability to provide high security with a small key size. To reduce the energy consumption of the aggregation point, homomorphic encryption is used to allow this point to aggregate the encrypted data without having to decrypt them. We demonstrated that the proposed method is capable of preventing the passive attack, cluster head compromised attack, and brute force attack.

About this Lecture

Number of Slides:  50
Duration:  40 minutes
Languages Available:  English
Last Updated: 

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