Big knowledge-based semantic correlation for detecting slow and low-level advanced persistent threats
Abstract Targeted cyber attacks, which today are known as Advanced Persistent Threats (APTs), use low and slow patterns to bypass intrusion detection and alert correlation systems. Since most of the attack detection approaches use a short time-window, the slow APTs abuse this weakness to escape from...
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Auteurs principaux: | Amir Mohammadzade Lajevardi, Morteza Amini |
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Format: | article |
Langue: | EN |
Publié: |
SpringerOpen
2021
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Sujets: | |
Accès en ligne: | https://doaj.org/article/b2351d12c981481ab9da03e70a252204 |
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