Published Paper Details:

The sensor consists of small sensors and actuators with common computer objectives for monitoring joint physical and environmental conditions, such as temperature, pressure, etc. Wireless Sensor networks are particularly characterized by limited power structures that can be harvested or maintained, a powerful network topology, large deployments. Sensitive networks have a wide range of performance in the field including residential monitoring, object tracking, retrieval, land slide detection and surveillance. As wireless nerve networks continue to grow, so does the need for effective safety measures. While there are many types of security attacks on WSNs, we have decided to focus on our most critical analysis: Sybil attacks. Sybil's attack is successful when a malicious node, called the Sybil node, illegally seeks multiple identities by naming a new identity or pretending to be an existing one. The purpose of Sybil's attack is to obtain an unparalleled amount of influence over the network through its false identity. Sybil's attack has now posed a serious threat to the wireless network of routing, voting system, proper resource allocation, data integration and discovery of misconduct. There are therefore many suggested ways to detect and prevent Sybil attacks on the wireless network of nerves. A detailed study of these methods has been performed and a comparison table provides an overview of the operation of the method. The conclusions were drawn using a comparison table. The parameters indicate how this method works. Simulation work is done in the NS2 simulator. We used a simple Sybil attack method and an algorithm is proposed to detect Sybil attacks. Performance testing is done using packet delivery rate, the number of packages produced. The results show that the packet delivery rate and the number of packets generated by the same Sybil nodes in each case.