About this document
Semantic Malware Variant Detection by Mustafa Alobeidi is a document available to read on EtoBox.
This document is a PhD thesis submitted by Khalid Mohamed Abdelrahman Y Alzarooni to the University College London exploring a new methodology for malware variant detection. The methodology consists of three major techniques: developing semantic signatures, slicing analysis, and test data generation analysis. The core idea is to specify an approximation of malware code semantics and produce signatures to identify obfuscated but semantically equivalent variants. The thesis proposes a trace slicing algorithm
- Author
- Mustafa Alobeidi
- Language
- EN