Comparative Study of Secure VerificationSystem against Attacks in Mobile Sensing

The increasing capabilities of mobile devices have given raise to many mobile sensing applications. The problem with existing system of the mobile sensing applications is that the sensor data aggregation assume a trusted aggregator, and hence cannot protect user privacy against untrusted aggregator. An untrusted aggregator in mobile sensing can periodically obtain desired statistics over the data contributed by multiple mobile users, without compromising the privacy of each user. To address this problem, we propose an efficient protocol to obtain the Sum aggregate, which employs an additive homomorphic encryption and a novel key management technique. Evaluations show that our protocols are orders of magnitude faster than existing solutions, and it has much lower communication overhead