Target Acquired? Evaluating Target Generation Algorithms for IPv6
Author:
Affiliation:
1. Technical University of Munich,Germany
2. Max Planck Institute for Informatics,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10198870/10198880/10199073.pdf?arnumber=10199073
Reference34 articles.
1. 6VecLM: Language Modeling in Vector Space for IPv6 Target Generation
2. DET: Enabling Efficient Probing of IPv6 Active Addresses
3. Triplet Censors: Demystifying Great Firewall's DNS Censorship Behavior;anonymous;10th USENIX Workshop on Free and Open Communications on the Internet (FOCI 20),0
4. 6Forest: An Ensemble Learning-based Approach to Target Generation for Internet-wide IPv6 Scanning
5. 6Hit: A Reinforcement Learning-based Approach to Target Generation for Internet-wide IPv6 Scanning
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1. 6Subpattern: Target Generation Based on Subpattern Analysis for Internet-Wide IPv6 Scanning;IEEE Transactions on Network and Service Management;2024-08
2. Unconsidered Installations: Discovering IoT Deployments in the IPv6 Internet;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06
3. A First Look at NAT64 Deployment In-The-Wild;Lecture Notes in Computer Science;2024
4. Exploring the Discovery Process of Fresh IPv6 Prefixes: An Analysis of Scanning Behavior in Darknet and Honeynet;Lecture Notes in Computer Science;2024
5. IPv6 Hitlists at Scale: Be Careful What You Wish For;Proceedings of the ACM SIGCOMM 2023 Conference;2023-09
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