An Accurate Fake Access Point Detection Method Based on Deviation of Beacon Time Interval

Kao, Kuo Fong; Chen, Wen Ching; Chang, Jui Chi; Chu, Heng Te

doi:10.1109/sere-c.2014.13

Cited by 21 publications

(7 citation statements)

References 2 publications

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“…While methods given by researchers as some assisted in securing from the evil twin attack however had their own downsides. These methods range from the installation of special hardware [1],protocol modification [33] and measuring frame characteristics [34], [36], etc.…”

Section: Proposed Methodsmentioning

confidence: 99%

Detection Technique and Mitigation Against a Phishing Attack

Fetooh¹,

El-Gayar²,

Aboelfetouh³

2021

IJACSA

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Wireless networking is a main part of our daily life during these days, each one wants to be connected. Nevertheless, the massive progress in the Wi-Fi trends and technologies leads most people to give no attention to the security issues. Also detecting a fake access point is a hard security issue over the wireless network. All the currently used methods are either in need of hardware installation, changing the protocol or needs analyzing frames. Moreover, these solutions mainly focus on a single digital attack identification. In this paper, we proposed an admin side way of detection of a not real access point. That works on multiple cyber-attacks especially the phishing attack. We shed the light on detecting WI-phishing or Evil Twin, DE authentication attack, KARMA attack, advanced WI-phishing attack and differentiate them from the normal packets. By performing the frame type analysis in real time and analyzing different static and dynamic parameters as any change in the static features will be considered as an evil twin attack. Also, providing that the value of the dynamic parameters surpasses the threshold, it reflects Evil Twin. The detector has been tested experimentally and it reflects average accuracy of 94.40%, 87.08% average precision and an average specificity of 96.39% for the five types of attack.

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Section: Proposed Methodsmentioning

confidence: 99%

Detection Technique and Mitigation Against a Phishing Attack

Fetooh¹,

El-Gayar²,

Aboelfetouh³

2021

IJACSA

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“…This method relies on the beacon frame as the main information source, by observing the detecting anomaly on the beacon frame, such as packet forwarding behaviour, timestamp interval, or clock skew intervals. Kao et al [91] proposed the algorithm, based on deviation of the beacon time interval using dedicated sensors. As a summary of the RAP identification based on hardware approach, a brief tabular view was shown in Table 3.…”

Section: Packet Behaviour Analysismentioning

confidence: 99%

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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“…In their study, they saw that the attackers could change the serial numbers, time stamps and signal intervals of fake APs. However, they suggested that the method they proposed was successful in detecting these attacks [23].…”

Section: Optionmentioning

confidence: 99%

Automated Fake Access Point Attack Detection and Prevention System with IoT Devices

Kilinçer

Ertam

Şengür

2020

Balkan Journal of Electrical and Computer Engineering

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Wireless access points (APs), which allow many devices to be easily connected to the Internet, are widely used today because they offer the easiest way to connect to the Internet. With the development of the Internet of Things (IoT), WiFi networks are widely used in our homes, workplaces, social areas, campus areas. With the increase of WiFi networks, attacks on these networks are constantly increasing. In this study, an IoT-based approach to detect and prevent Fake Access point attacks frequently seen in WiFi networks is proposed. A Single Board Computer (SBC) and a wireless antenna in the "Soft AP" feature are used for operation. Fake APs were detected by air scanning. In the first phase of the study, fake Access point broadcasts have been created which can create security weakness. In order to determine the fake Access points created in the second stage, SBC and wifi module were used to scan air. In the final stage, the mac address of the fake AP has been assigned to an unauthorized Virtual Local Area Network (vLAN) on the network to prevent detected fake AP broadcasts. The possible attack methods for the study were implemented and it was revealed that the proposed approach prevented the attack successfully in all scenarios. The study is seen as an effective, developed and economically useful IoT application for network administrators to prevent the attack using fake Access point.

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An Accurate Fake Access Point Detection Method Based on Deviation of Beacon Time Interval

Cited by 21 publications

References 2 publications

Detection Technique and Mitigation Against a Phishing Attack

Detection Technique and Mitigation Against a Phishing Attack

The rogue access point identification: a model and classification review

Automated Fake Access Point Attack Detection and Prevention System with IoT Devices

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