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

Mobile Information Systems

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