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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yingying Chen Trappe, W. Martin, R.P. |
| Copyright Year | 2007 |
| Description | Author affiliation: Rutgers Univ., Newark (Yingying Chen; Trappe, W.; Martin, R.P.) |
| Abstract | Wireless networks are vulnerable to spoofing attacks, which allows for many other forms of attacks on the networks. Although the identity of a node can be verified through cryptographic authentication, authentication is not always possible because it requires key management and additional infrastructural overhead. In this paper we propose a method for both detecting spoofing attacks, as well as locating the positions of adversaries performing the attacks. We first propose an attack detector for wireless spoofing that utilizes K-means cluster analysis. Next, we describe how we integrated our attack detector into a realtime indoor localization system, which is also capable of localizing the positions of the attackers. We then show that the positions of the attackers can be localized using either area-based or point-based localization algorithms with the same relative errors as in the normal case. We have evaluated our methods through experimentation using both an 802.11 (WiFi) network as well as an 802.15.4 (ZigBee) network. Our results show that it is possible to detect wireless spoofing with both a high detection rate and a low false positive rate, thereby providing strong evidence of the effectiveness of the K-means spoofing detector as well as the attack localizer. |
| Starting Page | 193 |
| Ending Page | 202 |
| File Size | 4560620 |
| Page Count | 10 |
| File Format | |
| ISBN | 1424412684 |
| DOI | 10.1109/SAHCN.2007.4292831 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-06-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Detectors Authentication Clustering algorithms Cryptography Computer network management Real time systems Computer science Laboratories Identity management systems |
| Content Type | Text |
| Resource Type | Article |
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