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Izvorni znanstveni članak
https://doi.org/10.2498/cit.1002530

Detecting and Locating Man-in-the-Middle Attacks in Fixed Wireless Networks

Ziqian (Cecilia) Dong ; School of Engineering and Computing Sciences, New York Institute of Technology, New York, USA
Randolph Espejo ; School of Engineering and Computing Sciences, New York Institute of Technology, New York, USA
Yu Wan ; School of Engineering and Computing Sciences, New York Institute of Technology, New York, USA
Wenjie Zhuang ; School of Engineering and Computing Sciences, New York Institute of Technology, New York, USA

Puni tekst: engleski, pdf (904 KB) str. 283-293 preuzimanja: 1.137* citiraj
APA 6th Edition
Dong, Z.(., Espejo, R., Wan, Y. i Zhuang, W. (2015). Detecting and Locating Man-in-the-Middle Attacks in Fixed Wireless Networks. Journal of computing and information technology, 23 (4), 283-293. https://doi.org/10.2498/cit.1002530
MLA 8th Edition
Dong, Ziqian (Cecilia), et al. "Detecting and Locating Man-in-the-Middle Attacks in Fixed Wireless Networks." Journal of computing and information technology, vol. 23, br. 4, 2015, str. 283-293. https://doi.org/10.2498/cit.1002530. Citirano 21.04.2021.
Chicago 17th Edition
Dong, Ziqian (Cecilia), Randolph Espejo, Yu Wan i Wenjie Zhuang. "Detecting and Locating Man-in-the-Middle Attacks in Fixed Wireless Networks." Journal of computing and information technology 23, br. 4 (2015): 283-293. https://doi.org/10.2498/cit.1002530
Harvard
Dong, Z.(., et al. (2015). 'Detecting and Locating Man-in-the-Middle Attacks in Fixed Wireless Networks', Journal of computing and information technology, 23(4), str. 283-293. https://doi.org/10.2498/cit.1002530
Vancouver
Dong Z(, Espejo R, Wan Y, Zhuang W. Detecting and Locating Man-in-the-Middle Attacks in Fixed Wireless Networks. Journal of computing and information technology [Internet]. 2015 [pristupljeno 21.04.2021.];23(4):283-293. https://doi.org/10.2498/cit.1002530
IEEE
Z.(. Dong, R. Espejo, Y. Wan i W. Zhuang, "Detecting and Locating Man-in-the-Middle Attacks in Fixed Wireless Networks", Journal of computing and information technology, vol.23, br. 4, str. 283-293, 2015. [Online]. https://doi.org/10.2498/cit.1002530

Sažetak

We propose a novel method to detect and locate a Man-in-the-Middle attack in a fixed wireless network by analyzing round-trip time and measured received signal strength from fixed access points. The proposed method was implemented as a client-side application that establishes a baseline for measured round trip time (RTTs) and received signal strength (RSS) under no-threat scenarios and applies statistical measures on the measured RTT and RSS to detect and locate Man-in-the-Middle attacks.

We show empirically that the presence of a Man-in-the-Middle attack incurs a significantly longer delay and larger standard deviation in measured RTT compared to that measured without a Man-in-the-Middle attack.

We evaluated three machine learning algorithms on the measured RSS dataset to estimate the location of a Man-in-the-Middle attacker.

Experimental results show that the proposed method can effectively detect and locate a Man-in-the-Middle attack and achieves a mean location estimation error of 0.8 meters in an indoor densely populated metropolitan
environment.

Ključne riječi
Man-in-the-Middle; Wi-Fi; fixed wireless network; location estimation; timing analysis; machine learning

Hrčak ID: 149732

URI
https://hrcak.srce.hr/149732

Posjeta: 1.476 *