A framework for detecting malicious code by analyzing the "difficulty" of compressing it, using compression ratios as a feature for security scanners. 3. Practical/Software Engineering Focus
"Beyond the Block: Exploiting Compressed Data Integrity in Modern Archivers" Premise: Investigate how modern compression formats (like Zstandardcap Z s t a n d a r d neil.7z
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. A framework for detecting malicious code by analyzing
) can be used to hide malicious payloads that trigger buffer overflows in decompression routines. Analyze if AI-generated, packed code has a distinct
"Trusting the Mirror: An Analysis of Malvertising in Software Repositories"
Which direction sounds most interesting to you? I can help you outline the , abstract , or key findings for any of these. i dove down the 7z rabbit hole (it goes deep)
"The Ghost in the Archive: Detecting AI-Generated Malware via 7z Entropy Analysis"