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Interactive Visualization for Network and Port Scan Detection
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Network-Based Intrusion Detection
Interactive Visualization for Network and Port Scan Detection
Chris Muelder1, Kwan-Liu Ma1 and Tony Bartoletti2
| (1) |
University of California, Davis, |
| (2) |
Lawrence Livermore National Laboratory, |
Abstract
Many times, network intrusion attempts begin with either a network scan, where a connection is attempted to every possible
destination in a network, or a port scan, where a connection is attempted to each port on a given destination. Being able
to detect such scans can help identify a more dangerous threat to a network. Several techniques exist to automatically detect
scans, but these are mostly dependant on some threshold that an attacker could possibly avoid crossing. This paper presents
a means to use visualization to detect scans interactively.
Keywords: Network security, information visualization, intrusion detection, user interfaces, port scans, network scans.
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