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- W2023903062 abstract "The traditional Intrusion Detection System (IDS) has limitations that it cannot detect emerging cyber threats. The goal of a Network Sniffer using data mining is to detect malicious traffic. This technique monitors all incoming and outgoing traffic. The deviation of the monitored traffic from the normal profile is measured. Various different implementations of data mining technique based on the algorithms such as entropy, ID3 algorithm are used for measuring traffic profile deviation. This technique automatically detect the different categories of users like normal user, Spy, Unauthorized user, Intruder etc. based on the rule table, which is not in the traditional IDS. It can become a standard component in security infrastructures as it allows network administrators to detect policy violations for insider as well as external attackers." @default.
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- W2023903062 date "2011-01-01" @default.
- W2023903062 modified "2023-09-26" @default.
- W2023903062 title "Intelligent network sniffer" @default.
- W2023903062 cites W3105682467 @default.
- W2023903062 doi "https://doi.org/10.1145/1980022.1980081" @default.
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