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Reinforcement Learning-Based Internet-Wide Port Scanning
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2024年11月20日 — In this work, we introduce PMap, a port scanning tool that efficiently discovers the most open ports from all 65K ports in the whole network.
Reinforcement Learning-based Internet-wide Port Scanning
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由 G Song 著作2023被引用 6 次 — In this work, we introduce PMap, a port scanning tool that efficiently discovers the majority of open ports from all 65K ports in the whole network. PMap uses ...
Reinforcement Learning-Based Internet-Wide Port Scanning
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Abstract— Internet-wide scanning is a commonly used research technique in various network surveys, such as measuring service.
Reinforcement Learning-Based Internet-Wide Port Scanning
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PMap is the first effective practice for scanning open ports using reinforcement learning, which bridges the gap of existing scanning tools and effectively ...
Reinforcement Learning-based Internet-wide Port Scanning
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PMap is the first effective practice for scanning open ports using reinforcement learning and bridges the gap of existing scanning tools and effectively ...
Reinforcement Learning-based Internet-wide Port Scanning
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The work of Yang Jiahai et al. [17] introduced reinforcement-learningbased methods, effectively reducing the burden of network probing through phased and ...
Which Doors Are Open: Reinforcement Learning-based Internet ...
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Which Doors Are Open: Reinforcement Learning-based Internet-wide Port Scanning ... Reinforcement Learning ... PMap: Reinforcement Learning-Based Internet-Wide ...
Guanglei Song
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PMap: Reinforcement Learning-Based Internet-Wide Port Scanning. G Song, L He, T Chen, J Lin, L Fan, K Wen, Z Wang, J Yang. IEEE/ACM Transactions on Networking, ...
Lin He
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Internet-wide scanning is a commonly used research technique in various network surveys, such as measuring service deployment and security vulnerabilities.
TON: Vol 32, No 6 - ACM Digital Library
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Internet-wide scanning is a commonly used research technique in various network surveys, such as measuring service deployment and security vulnerabilities.