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- W3174373670 abstract "With the increasing dependence on Wireless Local Area Networks (WLANs), businessesand educational institutions are in real need of a robust security mechanism.The latest WLAN security protocol, the IEEE 802.11i assures rigid security forwireless networks with the support of IEEE 802.1x protocol for authentication,authorization and key distribution. Nevertheless, users remain skeptical since theylack confidence on the practical trustworthiness of these security mechanisms. Inthis research we propose a novel Early Warning System (EWS), built on the foundationsof IEEE 802.11i security architecture. Our proposed system can effectivelydetect anomalies, substantiate them, and also identify the basis for such maliciousbehavior. It has a number of levels of defense to scrutinize malicious behaviorsof the wireless network, caused by a range of factors including security issues.Security alerts will be raised only when the legitimacy of abnormal conditions isvalidated using effective outlier based substantiation techniques.Timing anomalies can occur due to various conditions including security vulnerabilitiesin the wireless environment. Hence, detecting and analyzing suchanomalies may lead to significant advancement towards the detection of misbehavingwireless hosts. In this view, we have discussed the effectiveness of monitoringand analyzing round trip timing values between every request and responsemessages during the authentication process of wireless hosts. Further, to enhancethe capabilities of our detection mechanism we have also considered the effectof behavioral anomalies of the wireless hosts. Every wireless host that tends toconnect to the wireless network exhibits a particular behavior. This behavior may vary depending on a number of issues including security vulnerabilities. Hence,in this study we have discussed the use of behavioral analysis for detecting abnormalconditions. We have used the standard theoretical/practical behavior profilesdeveloped using a software model of the wireless hosts to compare the actualbehavior during a specific authentication process." @default.
- W3174373670 created "2021-07-05" @default.
- W3174373670 creator A5052346190 @default.
- W3174373670 date "2009-01-01" @default.
- W3174373670 modified "2023-09-27" @default.
- W3174373670 title "Substantiating Anomalies in Wireless Networks Using Outlier Detection Techniques" @default.
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- W3174373670 doi "https://doi.org/10.25904/1912/3448" @default.
- W3174373670 hasPublicationYear "2009" @default.
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