aspg-25-2703-1792226234 20261017083714 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cognitive Human-Computer Interaction JCHCI 2771-1471 2771-1463 2024 8 1 Lalzuitluanga Department of Computer Engineering, Mizoram University, Aizawl-796004, India Lalremruata Department of Computer Engineering, Mizoram University, Aizawl-796004, India Vanlalhruaia Assistant Professor, Department of Computer Engineering, Mizoram University, Aizawl-796004, India 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 10 13 2703 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCHCI.080103 https://americaspg.com/journal/25/article/2703 https://americaspg.com/storage/articles/manuscripts/01KWT4FDFJCFN2PNKQC5FQC3FE.pdf