IDPS Signature Classification Based on Active Learning With Partial Supervision From Network Security Experts

IDPS Signature Classification Based on Active Learning With Partial Supervision From Network Security Experts

As intrusion detection and prevention systems (IDPSs) grow in importance, the cost of managing signatures, which are pattern files of malicious communications, continues to increase. To ensure the optimal operation of an IDPS, network security experts need to classify the signatures generated over t...

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Bibliographic Details
Main Authors: Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Machine learning
active learning
real dataset
IDPS signatures
uncertainty estimation
Online Access:https://ieeexplore.ieee.org/document/9908556/

Internet

https://ieeexplore.ieee.org/document/9908556/

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