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Attack graph technique is a common tool for the evaluation of network security. However, attack graphs are generally too large and complex to be understood and interpreted by security administrators. This paper proposes an analysis framework for security attack graphs for a given IT infrastructure system. First, in order to facilitate the discovery of interconnectivities among vulnerabilities in a...
This paper takes an unsupervised learning approach for monitoring edge activity within an enterprise computer network. Using NetFlow records, features are gathered across the active connections (edges) in 15-minute time windows. Then, edges are grouped into clusters using the k-means algorithm. This process is repeated over contiguous windows. A series of informative indicators are derived by examining...
Performing port scans through Tor is a way to hide the source's IP address from the target. Researchers hoping to source their own scans benefit from a means of scanning that helps them to anonymize themselves from targets that may potentially retaliate as the result of being scanned. Though effective in providing anonymization during scanning, it is not scalable to the point of scanning the entire...
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