Journal of Cognitive Human-Computer Interaction JCHCI 2771-1463 2771-1471 10.54216/JCHCI https://www.americaspg.com/journals/show/2703 2021 2021 Department of Computer Engineering, Mizoram University, Aizawl-796004, India Lalzuitluanga Lalzuitluanga Department of Computer Engineering, Mizoram University, Aizawl-796004, India Lalremruata .. Assistant Professor, Department of Computer Engineering, Mizoram University, Aizawl-796004, India Vanlalhruaia Vanlalhruaia In today's rapidly evolving world, wireless technology has emerged as an essential solution for establishing connectivity in diverse environments. They offer cost-effective deployment options and scalability, accommodating organizational growth without the need for extensive infrastructure changes. However, wireless networks are susceptible to various security attacks, including Sybil attacks. In this paper, we provide a comprehensive review of Sybil attack detection techniques in wireless networks i.e. Mobile Ad hoc Network (MANET) and Wireless Mesh Networks (WMNs). In this paper, we analyze a range of methods proposed to detect and mitigate Sybil attacks, including approaches based on genetic algorithms, fuzzy logic, secure routing protocols, and hybrid techniques combining different detection mechanisms. Additionally, we explore the use of bio-inspired algorithms, such as the Bacteria Foraging Optimization Algorithm (BFOA), and discuss novel strategies integrating node authentication and threshold-based mechanisms. By examining the strengths and limitations of each approach, this review offers valuable insights into the state-of-the-art in Sybil attack detection in wireless networks, aiding researchers and practitioners in developing robust security solutions. 2024 2024 22 34 10.54216/JCHCI.080103 https://www.americaspg.com/articleinfo/25/show/2703