Secure Signcryption on Hyper Elliptic Curve with Sensor-Based Random Number

摘要

The emerging trend now in network security is efficient signcryption which is due to the growth of wireless technology. Signcryption scheme is proposed with security features such as confidentiality, integrity(originality of sender and receiver), message and user authentication, non-repudiation, forward secrecy and public verifiability. Signcryption fulfils the functions of signature and encryption in one logical. Strength of security and privacy of any cryptographic mechanisms that use random numbers require that the random numbers generated have two important properties namely 1. Uniform distribution and 2. Independence [9]. One idea proposed is to use sensor data as seed for Random Number Generator (RNG) to generate the random numbers that is used for signcryption algorithm in wireless networks [8]. These sensor data also pose weaknesses where sensors may be under adversarial control that may lead to generating expected random sequence which breaks the security and privacy. This paper proposes an approach to process the raw sensor data that increases randomness in the seed value and points out the limitations of existing signcryption scheme such as lack of forward secrecy and public verifiability, computation and communication overhead, larger memory requirements [1]. The proposed scheme based on hyper elliptic curve (HEC) fulfils all the gaps of existing system [2].