Learning to learn sequential network attacks using hidden Markov models
The global surge of cyber-attacks in the form of sequential network attacks has propelled the need for robust intrusion detection and prediction systems. Such attacks are difficult to reveal using current intrusion detection systems, since each individual attack phase may appear benign when examined...
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| Main Authors: | , , |
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| Format: | Default Article |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/12676718.v1 |
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