2013 · 94 citations · 28 references
ComputingComputer ScienceElectrical EngineeringAuthenticationWireless CommunicationsWireless SecurityMobile Network SecurityPhysical Layer SecuritySecure Mobile CommunicationWi-fi SecurityWireless Device SecurityWireless Network SecurityAuthentication AttacksChannel State InformationFramesPrototype EvaluationWi-fi Channel State InformationWi-fi Management SystemsWi-fi SensingWireless Frame Spoofing
Comparing to well protected data frames, Wi-Fi management frames (MFs) are extremely vulnerable to various attacks. Since MFs are transmitted without encryption or authentication, attackers can easily launch various attacks by forging the MFs. In a collaborative environment with many Wi-Fi sniffers, such attacks can be easily detected by sensing the anomaly RSS changes. However, it is quite difficult to identify these spoofing attacks without assistance from other nodes. By exploiting some unique characteristics (e.g., rapid spatial decorrelation, independence of Txpower, and much richer dimensions) of 802.11n Channel State Information (CSI), we design and implement CSITE, a prototype system to authenticate the Wi-Fi management frames on PHY layer merely by one station. Our system CSITE, built upon off-the-shelf hardware, achieves precise spoofing detection without collaboration and in-advance fingerprint. Several novel techniques are designed to address the challenges caused by user mobility and channel dynamics. To verify the performances of our solution, we conduct extensive evaluations in various scenarios. Our test results show that our design significantly outperforms the RSS-based method. We observe about 8 times improvement by CSITE over RSS-based method on the falsely accepted attacking frames.
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Outlier detection for high dimensional data
Charų C. Aggarwal, Philip S. Yu · 2001 · 1K citations
Outlier detection for high dimensional data
Charų C. Aggarwal, Philip S. Yu · ACM SIGMOD Record · 2001 · 436 citations