Neil.7z Direct

Use AI-generated malware and compress it using different settings. Analyze if AI-generated, packed code has a distinct Shannon entropy or LZma structure compared to human-written code.

This paper would detail how a "zero-size" stream can wrap integers and cause memory corruption. It would argue for the need for sandboxed decompression or safer library wrappers for compression, moving beyond traditional signature-based malware detection. 2. Information Theory/AI Focus neil.7z

A new architecture for decentralized software distribution that reduces reliance on DNS trust, making it nearly impossible to trick users into downloading malicious installers. Use AI-generated malware and compress it using different

"The Ghost in the Archive: Detecting AI-Generated Malware via 7z Entropy Analysis" It would argue for the need for sandboxed

"Trusting the Mirror: An Analysis of Malvertising in Software Repositories"

) can be used to hide malicious payloads that trigger buffer overflows in decompression routines.