A Secure Optimum Distributed Detection Scheme in Under-Attack Wireless Sensor Networks

Abstract

Abstract-We address the problem of centralized detection of a binary event in the presence of β fraction falsifiable sensor nodes (SNs) (i.e., controlled by an attacker) for a bandwidthconstrained under − attack spatially uncorrelated distributed wireless sensor network (WSN). The SNs send their one-bit test statistics over orthogonal channels to the fusion center (FC), which linearly combines them to reach to a final decision. Adopting the modified deflection coefficient as an alternative function to be optimized, we first derive in a closed-form the FC optimal weights combining. But as these optimal weights require a − priori knowledge that cannot be attained in practice, this optimal weighted linear FC rule is not implementable. We also derive in a closed-form the expressions for the attacker "flipping probability" (defined in paper) and the minimum fraction of compromised SNs that makes the FC incapable of detecting. Next, based on the insights gained from these expressions, we propose a novel and non-complex reliability-based strategy to identify the compromised SNs and then adapt the weights combining proportional to their assigned reliability metric. In this way, the FC identifies the compromised SNs and decreases their weights in order to reduce their contributions towards its final decision. Finally, simulation results illustrate that the proposed strategy significantly outperforms (in terms of FC's detection capability) the existing compromised SNs identification and mitigation schemes.

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“…Rana [24], adapts a convex state approximation (CSA) algorithm for smart vehilcle cyber attacks. Nurellari and McLernon [25], presents a distributed detection system using optimum fusion rule for mitigating the security against attacks in WSN. Shafiee [26], discusses a different comparative method with spectrum sensing (SS) algorithm in cognitive WSN for the usage next generation WSN.…”

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“…Unfortunately, these SSN often suffer from constrained bandwidth, limited available on-board power and security issues [4]. Furthermore, the local SSN decision process (i.e., local detection performance) itself is subject to various security threats [3], [5], [6], [7]. To deal with some of these challenges, WSSN assisted by mobile robots (MR) have been proposed [8], [9].…”

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“…Wireless sensor networks (WSNs), composed of multiple coordinated low-cost sensor nodes (SNs) and a fusion center (FC), are considered as one of the most important emerging digital technologies. Their deployment has been witnessed in several sectors in the last 12 years such as environment monitoring, building infrastructure, agriculture, health-care and military applications [2][3][4][5][6][7][8] to name but just a few. There are a number of different strategies as to how the data from each SN will be efficiently collected/delivered.…”