NDLI: D0M-WLAN: a traffic analysis based approach for detecting malicious activities on wireless networks

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D0M-WLAN: a traffic analysis based approach for detecting malicious activities on wireless networks

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D0M-WLAN: a traffic analysis based approach for detecting malicious activities on wireless networks

Content Provider	ACM Digital Library
Author	Nanda, Rohan Krishna, P. Venkata
Abstract	The recent research in the wireless network technologies focuses on numerous security threats in a network. Users tend to keep their systems virus free but don't give much focus to online security. The recent trends in intrusion detection have suggested that most of the malicious and abnormal activities can be identified by capturing the network traffic and analyzing them. Many research works in this area address only a particular problem focusing on a network attack or a behavioral pattern of certain kind of worms and Trojans, and propose a solution for that. This gives solution to only a particular type of intrusion detection and leaves the remaining problems apart. There is a need for a kind of system which can handle different types of malicious activities on the wireless local area network. We have developed a traffic analysis tool which focuses on detection of network attacks, fixed signatures, behavioral methods and suspicious packets. Our tool addresses different intrusions pertaining to different detection methods. Its implementation for both LAN and Wireless LAN showed good results on MIT Lincoln DARPA Dataset and also on real time traffic. The scalability of the tool showed it is highly efficient and can be deployed for real time use.
Starting Page	421
Ending Page	424
Page Count	4
File Format	PDF
ISBN	9781450324984
DOI	10.1145/2523514.2523575
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Packet analysis Intrusion detection Security Malicious
Content Type	Text
Resource Type	Article

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