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Exploiting Wireless Received Signal Strength Indicators to Detect Evil-Twin Attacks in Smart Homes
Joint Authors
Tang, Zhanyong
Chen, Xiaojiang
Fang, Dingyi
Gong, Xiaoqing
Zhao, Yujie
Yang, Lei
Qi, Shengde
Wang, Zheng
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-17
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Telecommunications Engineering
Abstract EN
Evil-Twin is becoming a common attack in smart home environments where an attacker can set up a fake AP to compromise the security of the connected devices.
To identify the fake APs, The current approaches of detecting Evil-Twin attacks all rely on information such as SSIDs, the MAC address of the genuine AP, or network traffic patterns.
However, such information can be faked by the attacker, often leading to low detection rates and weak protection.
This paper presents a novel Evil-Twin attack detection method based on the received signal strength indicator (RSSI).
Our approach considers the RSSI as a fingerprint of APs and uses the fingerprint of the genuine AP to identify fake ones.
We provide two schemes to detect a fake AP in two different scenarios where the genuine AP can be located at either a single or multiple locations in the property, by exploiting the multipath effect of the Wi-Fi signal.
As a departure from prior work, our approach does not rely on any professional measurement devices.
Experimental results show that our approach can successfully detect 90% of the fake APs, at the cost of a one-off, modest connection delay.
American Psychological Association (APA)
Tang, Zhanyong& Zhao, Yujie& Yang, Lei& Qi, Shengde& Fang, Dingyi& Chen, Xiaojiang…[et al.]. 2017. Exploiting Wireless Received Signal Strength Indicators to Detect Evil-Twin Attacks in Smart Homes. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1188905
Modern Language Association (MLA)
Tang, Zhanyong…[et al.]. Exploiting Wireless Received Signal Strength Indicators to Detect Evil-Twin Attacks in Smart Homes. Mobile Information Systems No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1188905
American Medical Association (AMA)
Tang, Zhanyong& Zhao, Yujie& Yang, Lei& Qi, Shengde& Fang, Dingyi& Chen, Xiaojiang…[et al.]. Exploiting Wireless Received Signal Strength Indicators to Detect Evil-Twin Attacks in Smart Homes. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1188905
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1188905