Secure Data Delivery With Identity-Based Linearly Homomorphic Network Coding Signature Scheme in IoT

Abstract

With the appearance and flourishing development of the Internet of Things (IoT), wireless sensor networks technology has been attracting increasing attention. Network coding is an indispensable technology in the wireless sensor networks, which can improve network transmission throughput. However, pollution attacks is a serious security problem that must be faced in the process of data coding. Although the homomorphic network coding signature schemes can solve this troublesome, the high signature generation and verification cost of these schemes will reduce the transmission efficiency. In this article, we propose an efficient identity-based linearly homomorphic network coding signature scheme for wireless sensor networks to guarantee data integrity and authenticity. In our scheme, the computation cost of signature generation and verification are both independent of the size of the data packet. The scheme is proved secure against existential forgery under adaptive chosen identity and adaptive chosen subspace attacks in random oracle model. Using Java pairing-based Cryptography Library (JPBC), the simulation results illustrate that our scheme is more efficient in practical application.