Security in Wireless Sensor Network has become a hot research topic due to their wide deployment and the increasing new runtime attacks they are facing. We observe that traditional security protocols address conventional security problems and cannot deal with dynamic attacks such as sinkhole dynamic behavior. Moreover, they use resources, and limit the efficient use of sensor resources and inevitably the overall network efficiency is not guaranteed. Therefore, the requirements of new security mechanisms must be addressed in a flexible manner. Indeed, there is a lack of generic security adaptation protocols to deal with extremely dynamic security conditions and performances in a context of Wireless Sensor Network where reliability is a critical criterion for many applications. This paper proposes our Security Adaptation Reference Monitor for Wireless Sensor already validated in proximity-based wireless network. It is based on an autonomic computing security looped system, which fine-tunes security means based on the monitoring of the context. Extensive simulations using agent-based approach have been conducted to verify the performance of our system in the case of sensor network in the presence of sinkhole attacks. The results clearly show that we are efficient in terms of survivability, overall network utilization, and power consumption. 1. Introduction A Wireless Sensor Network (WSN) consists of a large number of low-power, and multifunction sensor nodes that communicate as one hope, multihop, or cluster-based models to send data to one or many base stations (BSs) through wireless links [1]. These BSs are highly enriched with a large amount of energy. WSNs represent a challenging and an interesting research area due to the constraints involved. The small size of the sensors and the networking capability increase the appeal of WSNs for use in daily life. Distributed computing and routing could be well applied in case of multihope and cluster-based models. These capabilities enable WSNs to provide significant advantages for many applications that were not possible in the past. The WSN is built by deploying the sensing nodes in the area of interest to form a self-configured network and start acquiring the necessary information. The unique properties of WSNs increase flexibility and reduce user involvement in operational tasks. Battlefield surveillance, forest fire detection, and smart environments are some well-known applications. Since the nodes in WSN are battery operated and have a limited lifetime to operate, there is a growing need of energy aware
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