Rogue Access Point Identification Via Beacon Frame Anomaly Detection


Arisandi, Diki and Ahmad, Nazrul Muhaimin and Kannan, Subarmaniam (2022) Rogue Access Point Identification Via Beacon Frame Anomaly Detection. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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A Wi-Fi access point indicates a number of risks that might harm the identity of the user, personal details, and network integrity. Despite the fact that the majority of Wi-Fi hotspots are unmanaged, unmonitored, and absence of adequate security measures, there is a high demand for users to access the network. As a result, users will be vulnerable to adversaries that deploy RAP (Rogue Access Point) Wi-Fi hotspots to obtain classified credential data. As a result, adversaries can exchange connection anonymously or present as a client to compromise the safety of the public. The study intends to suggest a new technique based on the anomaly from beacon frame to identify RAP in Wi-Fi network. The idea is to take advantage of the beacon frames generated by AP to extract and embed additional information. The customized beacon frame will be re-transmitted to obtain a response from the AP. The result will be compared to the previous beacon frame to define whether the AP is legitimate or rogue. As a result, users can recognize the presence of rogue APs without revealing their existence to AP and by using any access point equipment that does not require extra hardware. The strategy is to ensure the existence of legitimate Access points and, more specifically, to prevent a client from deceiving into RAP that arises as a serious threat in the Wi-Fi hotspot.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 21 Dec 2022 03:24
Last Modified: 21 Dec 2022 03:24


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