-22b9b34417bc6092a743a98 20220209060927600 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2021 10 1 Assistant Professor, Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, Coimbatore (Tamil Nadu), India. Parvathy. K In the current world people are using the sensing networks called IoT and WSN as the subset of IoT in various applications. The employment of these sensor networks is rapidly increasing. Due to the longer usage of these sensor networks security issues are eventually happening and has the possibility of developing the attacks in the network. In this review, focuses on wormhole attacks in wireless sensor network (WSN) and Internet of Things (IoT) creating a tunnels i.e., wormhole link in between source and the destination node in the network. The classification of wormhole attack in both WSN and IoT are presented based on the mode of attacker. The detection mechanisms of wormhole attack are specified in both WSN and IoT. It hypothesizes the detection strength is more in IoT than the WSN based on the analysis, the parameters of the detection algorithm that the WSN is about 20% while in IoT is 70%. 05 30 2021 199 203 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5873.0510121 https://www.ijrte.org/portfolio-item/A58730510121/