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WLAN is vulnerable to malicious attacks due to their shared medium in unlicensed frequency spectrum, thus requiring security features for a variety of applications. This paper will discuss some techniques and approaches which can help to detect, localize and identify wireless network attacks, which present a unique set of challenges to IT and security professionals. All efforts were focusing on the ability to identity based attacks in which a malicious device uses forged MAC addresses to masquerade as a specific client or to create multiple illegitimate identities. Also, to be sure that the network is able to robustly identify each transmitter independently of packet contents, allowing detection of a large class of identity-based attacks with high probability.
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