This is a Plain English Papers summary of a research paper called AI Malware Learns to Dodge Security Software with 90% Success Rate. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- Researchers developed a reinforcement learning approach to create evasive malware
- The method requires only black-box access to anti-malware systems
- Their technique achieved 75-90% evasion rates against commercial anti-malware products
- They introduce a Malware Environment for Dynamic Analysis (MEDA)
- The approach can be used both for attacking and improving defenses
Plain English Explanation
Imagine a game of cat and mouse, where security software (the cat) tries to catch malicious software (the mouse). Traditional security tools look for specific patterns or behaviors to identify malware. This paper shows how [adversarial attacks](https://aimodels.fyi/papers/arxiv...
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