Client-side rogue access-point detection using a simple walking strategy and round-trip time analysis

Kitisriworapan, Songrit; Jansang, Aphirak; Phonphoem, Anan

doi:10.1186/s13638-020-01864-5

Cited by 5 publications

(3 citation statements)

References 39 publications

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“…Furthermore, the particular probe packets are easily detected by an experienced attacker who can ignore the probe packets to bypass the detection of Wi-Fi. The WPFD does not have this problem On the other hand, in the previous research on general rogue APs there is a summary or a discussion like Sweta et al [26], and for a round-trip time measurement with a machine learning algorithm, in Songrit et al [27]. Furthermore, as mentioned above, there are also algorithms like Ganesh et al, which is a standard algorithm of the LAN network environment [28], and Neha et al [29], which is a hash algorithm focused on WLAN security.…”

Section: Related Workmentioning

confidence: 99%

WPFD: Active User-Side Detection of Evil Twins

Hsu

Hwang

et al. 2022

Applied Sciences

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The bothersome evil twin problem has an active user-side remedy in the form of the Wireless Packet Forwarding Detector (WPFD). The evil twin issue can lead to further security problems, including man-in-the-middle (MITM) attacks. Open public Wi-Fi connections have provided potential answers to this issue, although they often need more data that people either cannot get or are too pricey for regular users. The solution that we created does not require these standards. It allows users’ notebooks to be used to check for evil twins. We have succeeded in developing a user-side detection system that can successfully identify the presence of an evil twin. The packet forwarding behavior generated by the evil twin and the TCP/IP (Transmission Control Protocol/Internet Protocol) protocol are both used by the WPFD. It can identify evil twins without a hitch when we utilize accessible Wi-Fi settings in public spaces or IoT smart homes with unencrypted WLANs (Wireless Local Area Network). However, neither additional data nor a wireless network administrator’s assistance is needed. We compare our work to various publications on popular Rogue Access Points (APs) or IoT (Internet of Things) smart homes. The WPFD does not require any extra setup to install on the host of any end user. According to experimental findings, the WPFD true positive and true negative rates are 100% even when Received Signal Strength Index (RSSI) is 45%.

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Section: Related Workmentioning

confidence: 99%

WPFD: Active User-Side Detection of Evil Twins

Hsu

Hwang

et al. 2022

Applied Sciences

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“…The IEEE 802.11 is specifically designed for wireless connections, the first 802.11 has been developed in 1997 and is still being improved on. This type of wireless standard is used with frequencies 2.4, 5, 60 GHz, the Evil Twin Wi-Fi attack typically targets this standard [6][7][8][9]. To detect evil-twin attack, a real-time client-side detection technique is proposed [7].…”

Section: Introductionmentioning

confidence: 99%

“…To detect evil-twin attack, a real-time client-side detection technique is proposed [7]. A rogue Access Point (AP) detection technique based on the round-trip time (RTT) on the mobile-user side is proposed [8]. A Convolutional Neural Network (CNN) based Evil-Twin Attack (ETA) detection technique is proposed which uses the preamble of the WiFi signal as the feature and uses it to train a CNN based classification model [9].…”

Section: Introductionmentioning

confidence: 99%

Evil Twin Attack Mitigation Techniques in 802.11 Networks

Muthalagu¹,

Sanjay²

2021

IJACSA

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Evil Twin Wi-Fi attack is an attack on the 802.11 IEEE standard. The attack poses a threat to wireless connections. Evil Twin Wi-Fi attack is one of the attacks which has been there for a long time. Once the Evil Twin Wi-Fi attack is performed this acts as a gateway to many other attacks such as DNS spoofing, SSL Strip, IP Spoofing, and many more attacks. Thus, preventing the attack is essential for privacy and data security. This paper will be going through in detail how the attack is performed and different measures to prevent the attack. The proposed algorithm sniffs for fake AP using the whitelist in all the channels, once an unauthorized AP is detected the user has an option to de-authenticate any user in the unauthorized network in case any clients do connect to it by accident also the algorithm will be checking if any de-authentication frame is being sent to any of the AP to know which of the AP is being compromised. The efficiency of proposed approach is verified by simulating and mitigating the evil-twin attack.

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An Unsupervised Detection Method for Multiple Abnormal Wi-Fi Access Points in Large-Scale Wireless Network

Chen

Liao²

2022

Applied Artificial Intelligence

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Client-side rogue access-point detection using a simple walking strategy and round-trip time analysis

Cited by 5 publications

References 39 publications

WPFD: Active User-Side Detection of Evil Twins

WPFD: Active User-Side Detection of Evil Twins

Evil Twin Attack Mitigation Techniques in 802.11 Networks

An Unsupervised Detection Method for Multiple Abnormal Wi-Fi Access Points in Large-Scale Wireless Network

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