A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security

With the development of wireless rechargeable sensor networks (WRSNs ), security issues of WRSNs have attracted more attention from scholars around the world. In this paper, a novel epidemic model, SILS(Susceptible, Infected, Low-energy, Susceptible), considering the removal, charging and reinfection process of WRSNs is proposed. Subsequently, the local and global stabilities of disease-free and epidemic equilibrium points are analyzed and simulated after obtaining the basic reproductive number R0. Detailedly, the simulations further reveal the unique characteristics of SILS when it tends to being stable, and the relationship between the charging rate and R0. Furthermore, the attack-defense game between malware and WRSNs is constructed and the optimal strategies of both players are obtained. Consequently, in the case of R0<1 and R0>1, the validity of the optimal strategies is verified by comparing with the non-optimal control group in the evolution of sensor nodes and accumulated cost.

Research on Wireless Sensor Network Security Location Based on Received Signal Strength Indicator Sybil Attack

This paper studies the security location mechanism of the sensor network node under the attack of Sybil and analyzes the safe attacks which are possibly accepted and safe requirement in the location system. Since RSSI (Received Signal Strength Indicator) possesses the energy transmission function, different transmission energy will cause it to produce different RSSI readings. Furthermore, this kind of method cannot increase the burden on Wireless Sensor Network (WSN). It conducts an analysis between two receiving nodes, compares RSSI ratios to tickle the problem of time inconsistency of RSSI, and sets a threshold to detect Sybil by the emulation results. Research shows that the ratio value of different receiving nodes by using RSSI can resolve time difference because of the RSSI or unreliability which results from the asymmetry of transmission ratio. The thesis makes a comparison that the number of receiving nodes has an influence on attack effect. Utilizing the RSSI ratio values can exactly detect the Sybil attack. Emulation findings demonstrate that the detection method put forward by the thesis owns better security.

Two Variations of Peer Intermediaries for Key Establishment in Sensor Networks

Recently, the issue pertinent to sensor network security is a popular topic. Especially, due to the restriction of energy supplied by battery power of the sensors, symmetric cryptography is one of the suitable choices for the secret communication between sensors, while asymmetric cryptography is not appropriate because of its heavy loading on computation should consume a lot of energy. As a result of using symmetric cryptography, there are numerous research papers focusing on designing efficient key management scheme in sensor networks. PIKE designed by Chan and Perrig is a scheme using peer intermediaries and their pre-installed keys to deliver secret message from one sensor to another. However, they did not consider the case that the sensors are scattered in nonuniform way. Moreover, O(logn) is enough for sensor networks to achieve expander topology while PIKE has O(√n) storage overhead. This article gives generalizations of PIKE to offer more choices for developers under different requirements. The Constant Storage Protocol, abbreviated as CSP, costs constant memory storage and is more suitable for group-based deployment.