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Showing 1 to 2 of 2 for “"network reconnaissance"”.

  1. Graph-Based Machine Learning for Passive Network Reconnaissance within Encrypted Networks

    Network reconnaissance identifies a network’s vulnerabilities to both prevent and mitigate the impact of cyber-attacks. The difficulty of performing adequate network reconnaissance has been exacerbated by the rising complexity of modern networks (e.g., encryption). We identify that the majority of …

    adelaide Repository record for Graph-Based Machine Learning for Passive Network Reconnaissance within Encrypted Networks (opens in a new tab)

  2. Advanced Network Inference Techniques Based on Network Protocol Stack Information Leaks

    … explicit channels. This thesis focuses on network side channels, where information flow occurs in the TCP/IP network stack implementations of operating systems. I will describe three new types of idle scans: a SYN backlog idle scan, a RST rate-limit idle scan, and a hybrid idle scan. Idle …

    unm Repository record for Advanced Network Inference Techniques Based on Network Protocol Stack Information Leaks (opens in a new tab)