Published Paper Details:

There are a lot of inexpensive, tiny sensor nodes in Wireless Sensor Networks (WSN) that can send data. limited memory, limited processing power, low power supply, and short communication range are the limitations of wireless sensor nodes. Due to these limitations, this network is susceptible to numerous attacks, particularly the bwdos_sinkhole_attack attack. A type of attack known as a "bwdos sinkhole attack" involves the hacked node attempting to draw in network traffic by promoting its bogus routing update. A bwdos_sinkhole_attack attack has the ability to initiate spoofing, selective sharing, and removing or modifying routing data, among other impacts. It might also be used to send fictitious data to the base station. In this paper, time-varying in wireless sensor networks, bwdos_sinkhole_attack attack detection technique based on snapshot-based Neighbour-controlled Traffic-centric (TSNT) technology is used to address these issues and enhance service quality. The base station monitors the traffic using the TSNT algorithm, and it keeps track of the list of sensor devices the packet has passed through over time. The presence of bwdos_sinkhole_attack is identified from this list using a snapshot of the WSN captured at different times. In parallel, the base station receives assistance from a reliable outside source within the WSN network to identify the bwdos_sinkhole_attack attack through message digest hash-based data integrity verification. The experimental outcome demonstrates that, in comparison to other current techniques, the suggested method efficiently detects bwdos_sinkhole_attack.