Detection of wireless fake access points

Lovinger, Norbert; Gerlich, Tomas; Martinásek, Zdeněk; Malina, Lukáš

doi:10.1109/icumt51630.2020.9222455

Cited by 8 publications

(6 citation statements)

References 18 publications

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“…Many studies have been published to address the problem of detecting phishing or WI Phishing attacks over the network, such as -Detecting fake access point or Evil Twin‖ as a relevant approach presented in [16] by Lovinger et al , it depends on the network probing using Raspberry Pi 4. Capability, the author creates a logging system.…”

Section: B Detecting Evil Twin Solutionsmentioning

confidence: 99%

“…The first part evaluates the performance of the proposed detector for classifying the types of attacks on detecting (1) KARMA attack (2) DE authentication attack [9] (3) WI-phishing [2] or Evil Twin, (4) advanced WI-phishing, (5) and differentiating them from the normal packets in real time, furthermore to database all beacon frame for visualization, forensics, and further anomaly inspection. The second part compares the results against the method in [16] proposed by Lovinger et al , Zeeshan Afzal et al in [47] and Mayank Agarwal et al in [1].…”

Section: Efficiency Of Proposed Algorithmmentioning

confidence: 99%

“…Here is a comparison between the proposed method and the method presented in [16] by Lovinger et al As this approach depends on the network probe using the Raspberry Pi 4. Capability, and creates a logging system.…”

Section: G Comparison and Evaluationmentioning

confidence: 99%

“…It also shows that the proposed system can be used for forensic purposes as it can store data for a long time which reflects stability and durability, for data that is stored in the database and start visualization. Table III represents a comparison between the proposed method and three methods for different authors, Levinger et al [16], Zeeshan Afzal [47] and Mayank Agarwal [1].…”

Section: G Comparison and Evaluationmentioning

confidence: 99%

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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: B Detecting Evil Twin Solutionsmentioning

confidence: 99%

Section: Efficiency Of Proposed Algorithmmentioning

confidence: 99%

Section: G Comparison and Evaluationmentioning

confidence: 99%

Section: G Comparison and Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

Detection Technique and Mitigation Against a Phishing Attack

Fetooh¹,

El-Gayar²,

Aboelfetouh³

2021

IJACSA

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“…This attack may help to DoS attack by sending de-authentication frames to other parties in the system. Evil Twin attack is a type of MitM attack, which is referred as Fake Access Point [88]. In this attack, the attacker's goal is to catch the connection between the device and the modem [89,90].…”

mentioning

confidence: 99%

A Survey on Security Attacks with Remote Ground Robots

Özdol¹,

Köseler²,

Alçiçek³

et al. 2021

El-Cezeri Fen Ve Mühendislik Dergisi

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Contemporary healthcare systems contain diverse computing devices that construct very complex systems to manage patients' data more efficiently. Connected computing devices, such as the Internet of Things (IoT) that may have limited processing powers, have contributed more than ever with the advent of wearable body area networks (WBAN). These devices are connected to other medical devices to share sensitive health data with corresponding entities like hospitals, research institutions, and insurance companies. Since health data are very sensitive, they should be always available to authorized entities and unavailable to other entities. Moreover, COVID-19 pandemic has added additional value to health data which case increases cyber-attacks on (Electronic health) E-health systems with different tools dramatically. In this paper, several cyber-attacks on Ehealth systems are explored. Particularly, we have focused on attacks to IoT based wearable health devices for body area networks. The paper contains the architecture of wearable health devices to show the potential attack surface. One of the main contributions of the paper is to present cyber-attacks on wearable e-health devices with ground robots. A tactical ground robot is portable devices that may be used to carry out several cyber-attacks on E-health systems. Moreover, the paper contains analyses of the attacks with ground robots.

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