Blockchain-Based Sinkhole Attack Detection in Wireless Sensor Network

In past years with upgrades in sensor technology, new networking streams and wireless communication with fast networks are applied to the Wireless Sensor Networks (WSN). It raised the region of WSN to a wide reach that led to its massive usage in areas like biotechnology, military applications, IoT, etc. Because of the self-administering nature of sensors in WSN environments, the sensor hubs are also open to compromise. Exactly when a hub is compromised, a few attacks are possible, for instance, spoofing and sinkhole attacks. In this work, the sinkhole attack in WSN is designed and Artificial Bee Colony – Attack Detection (ABC-AD) mechanism for perceiving the sinkhole attack in WSN is proposed. The combination of blockchain and the Artificial Bee Colony is used for evaluating the precedented area of sinkhole attack using the rule-based identical methodology and voting-based methodology. The proposed method shows good resistance and detects sinkholes with a 2% increase in performance when compared with other techniques. The proposed methodology is intuited by the shortfalls of the existing algorithms and the effectiveness of Gestalt consciousness algorithms in the recent era leading to an optimized Artificial Bee Colony exchange security mechanism with blockchain.