Secure Aggregation in Wireless Sensor Networks
To achieve secure aggregation by thwarting attacks from malicious sensors in wireless sensor networks.
The project’s objective has been met through the design of two novel and complementary algorithms that can tolerate attackers. The first tree-sampling algorithm is based on a novel concept of set sampling, which can provably generate a correct aggregation result despite adversarial interference. The second VMAT algorithm incurs smaller overhead than tree sampling when there is no attacker. When under attack, the VMAT algorithm can pinpoint the attacker and revoke some capability held by the attacker. After revoking all the capabilities of the attacker, the algorithm will be able to produce a correct answer.