A Secure and Efficient ID-Based Aggregate Signature Scheme for Wireless Sensor Networks
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Affording secure and efficient big data aggregation methods is very attractive in the field of wireless sensor networks research. In real settings, the wireless sensor networks have been broadly applied, such as target tracking and environment remote monitoring. However, data can be easily compromised by a vast of attacks, such as data interception and data tampering, etc. Mainly focus on data integrity protection, give an identity-based aggregate signature scheme with a designated verifier for wireless sensor networks. According to the advantage of aggregate signatures, our scheme not only can keep data integrity, but also can reduce bandwidth and storage cost for wireless sensor networks. Furthermore, the security of our identity-based aggregate signature scheme is rigorously presented based on the computational Diffie-Hellman assumption in random oracle model.