An Experimental Analysis Into Blockchain Cyber Security Attacks

WSNs are utilized in various fields, including smart urban communities, medical services, smart structures, and transportation. These networks distribute private information among numerous transceivers, smart devices, and sensor nodes. The environment of WSNs contains sensitive data that is vulnerable to numerous cyber threats and attacks. To deal with threats, attacks, and security hardships in WSNs, a viable security system is required. To decide the best countermeasures to distinguish the pernicious and security gambles using Blockchain innovation, this article fostered another methodology utilizing heuristic, signature, and voting detection techniques. In our system, the three detection methods together with Blockchain are used by the cluster head node (CN) to identify rogue sensor nodes. Also, CN utilizes vital factors like voting degree for malicious nodes, sensor node hash value, and node signature to identify malicious nodes in WSNs. The general discoveries measurement uncovered that during the reenactment of our technique, 94.9% of malicious messages were really perceived and distinguished.