@inproceedings{d40931ed5db140d9a12a87f692b01f39,
title = "A framework for detecting MAC and IP spoofing attacks with network Characteristics",
abstract = "This paper presents a spoofing attack detection framework based on physical network characteristics (e.g., received signal strength indicator round trip time and link quality indicator) that cannot easily be mimicked by artificial means. Unlike most previous studies that are sensitive to changes in network conditions, we propose a spoofing attack detection method, which is highly robust to the changes of network conditions over time. The proposed framework can monitor devices' physical network characteristics in real time and check if any significant changes have been made in the monitored measurements to effectively detect device spoofing attacks. To demonstrate the feasibility of the proposed framework, we analyzed how the RSSI values of packets were changed with varying physical distances in a real ZigBee (IEEE 802.15.4) network environment.",
keywords = "Received signal strength indicator (RSSI), Spoofing detection, Zigbee",
author = "Jaegwan Yu and Eunsoo Kim and Hyoungshick Kim and Huh, \{Jun Ho\}",
year = "2017",
month = feb,
day = "21",
doi = "10.1109/ICSSA.2016.16",
language = "English",
series = "Proceedings - 2016 International Conference on Software Security and Assurance, ICSSA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "49--53",
booktitle = "Proceedings - 2016 International Conference on Software Security and Assurance, ICSSA 2016",
note = "2016 International Conference on Software Security and Assurance, ICSSA 2016 ; Conference date: 24-08-2016 Through 25-08-2016",
}