Hyperelliptic Based Signcryption with Sensor-Seeded Random Number

The emerging trend now in network security is lightweight cryptography which is due to the growth of wireless technology. Lightweight cryptography is defined as cryptographic algorithm used to achieve higher security with limited resources. Generally, these wireless systems are in demand of security and resource(power). In order to meet these constraints an important lightweight scheme called signcryption is proposed with security features such as confidentiality, integrity(originality of sender and receiver), message and user authentication, nonrepudiation, 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. The generated sequences from two sensors are combined by Decimation method to improve unpredictability. This makes the sensor data to be more secure in generating random numbers preventing attackers from knowing the random sequence through adversarial control. Existing signcryption scheme faces issueslack 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].