Fake Access Point Localization Based on Optimal Reference Points

Xu, Bin; Peng, Min; Zhou, Qing; Cheng, Xinyi

doi:10.1109/compcomm.2018.8780768

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Selvarathinam et al [43] enhanced the current IDS, with discrete event system (DES) as antifailure of RAP detection, while Kumar and Paul [44] were prone to leveraging the previous AP information value, as the identifier in determining the RAP surrounding the area. Another preventing solution from Xu et al [45] was by collecting and processing the RSSI data and distance measurement, to gain an optimal reference point of RAP. Chatfield and Haddad [46] proposed a novel RAP identification technique using phase error detection in CSI feature.…”

Section: Ap Profilingmentioning

confidence: 99%

“…While agent deployment, which is an admin-side approach, has good prospects for the industrial application, as it allows automation in detecting RAP without a significant role from the client, as implemented by several network companies. [6], [21], [24], [25], [27], [29], [30], [75], [36], [38], [39], [40], [41], [42], [43], [45], [46], [47], [48], [49], [31] Packet behaviour MAC, NUL, PHY [51], [53], [56], [57], [58], [59], [62],…”

Section: Agent Deploymentmentioning

confidence: 99%

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The rogue access point identification: a model and classification review

Arisandi

Ahmad

Kannan³

2021

IJEECS

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Most people around the world make use of public Wi-Fi hotspots, as their daily routine companion in communication. The access points (APs) of public Wi-Fi are easily deployed by anyone and everywhere, to provide hassle-free Internet connectivity. The availability of Wi-Fi increases the danger of adversaries, taking advantages of sniffing the sensitive data. One of the most serious security issues encountered by Wi-Fi users, is the presence of rogue access points (RAP). Several studies have been published regarding how to identify the RAP. Using systematic literature review, this research aims to explore the various methods on how to distinguish the AP, as a rogue or legitimate, based on the hardware and software approach model. In conclusion, all the classifications were summarized, and produced an alternative solution using beacon frame manipulation technique. Therefore, further research is needed to identify the RAP.

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