Modified reputation-base trust (MRT) for WSN security

During the last years, Wireless Sensor Networks (WSNs) and its applications have obtained considerable momentum. However, security and power limits of WSNs are still important matters. Many existing approaches at most concentrate on cryptography to improve data authentication and integrity but this addresses only a part of the security problem without consideration for high energy consumption. Monitoring behavior of node neighbors using reputation and trust models improves the security of WSNs and maximizes the lifetime for it. However, a few of previous studies take into consideration security threats and energy consumption at the same time. Under these issues we propose a reputation and trust mechanism optimized for security strength. We apply two security threats (oscillating and collusion) during simulations of the proposed model in order to measure the accuracy, scalability, trustworthiness and energy consumption. As results, effects of collusion and oscillating are minimized and energy consumptions for dynamic networks reduced. Also simulation results show that the proposed model remains resilient to low or high percentages of pernicious servers when the percentage of client sensors are greater than or equal 60%. This result is quite promising; it shows that energy consumption generally is low, especially for dynamic networks.