Detecting Sybil attacks in wireless sensor networks using UWB ranging-based information

摘要: Development of a novel rule-based Sybil attack detection system for large-scale WSNs.Integration UWB ranging-features with expert knowledge in the process.Development defense scheme against direct, simultaneous attacks.Derivation rigorous analytic framework to determine performance.Introduction an accurate simulation environment validate analysis. Security is becoming major concern many mission-critical applications wireless sensor networks (WSNs) are envisaged support. The inherently vulnerable characteristics WSNs appoint them susceptible various types attacks. This work restrains its focus on how defend particularly harmful form attack, attack. attacks can severely deteriorate network performance and compromise security by disrupting networking protocols. paper presents anomaly system, called RADS, which monitors timely detects WSNs. At core, proposed relies ultra-wideband (UWB) ranging-based algorithm that operates distributed manner requiring no cooperation or information sharing between nodes order perform tasks. feasibility approach proven analytically, while RADS exposing extensively assessed both mathematically numerically. obtained results demonstrate achieves high accuracy low false alarm rate appointing it promising ADS candidate this class networks.