Lightweight Method for Detecting Fake Authentication Attack on Wi-Fi

Setiadji, Muhammad Yusuf Bambang; Ibrahim, Ramadhan; Amiruddin, Amiruddin

doi:10.23919/eecsi48112.2019.8976975

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…The paper [10] proposed by S. Bambang et al (2019) states a method for detecting fake access points in wireless networks by analyzing the Media Access Control and Basic Service Set Identifier addresses in beacons. This approach provides the benefit of being lightweight and simple to implement, making it suitable for use on mobile devices.…”

Section: Literature Surveymentioning

confidence: 99%

Analysis of Behavioral Characteristics of Jammers to Detect Malicious Nodes in Mobile ADHOC Networks

Yannam,

Suryadevara,

Thabassum

et al. 2023

IJRITCC

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Wireless ADHOC Networks are used to establish a wireless connection between two computing devices without the need for a Wi-Fi access point or router. This network is decentralized and uses omnidirectional communication media, which makes it more vulnerable to certain types of attacks compared to wired networks. Jamming attacks, a subset of denial-of-service (DoS) attacks, involve malicious nodes that intentionally interfere with the network, blocking legitimate communication. To address this issue, the proposed method analyzes various characteristics of nodes, such as packets sent, received, and dropped, at each node. Using the packet delivery ratio and packet drop ratio, the method detects jamming nodes from normal nodes, improving network performance. The network is simulated in NS2 environment.

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Section: Literature Surveymentioning

confidence: 99%