I am currently doing a dissertation/project and below is the description of the project
Yara rules are one of the most popular and widely used methods for malware detection. Yara rules basically describe patterns that identify particular strains or entire families of malware. Its success or failure is dependent on the quality of rules employed for malware triaging. Yara rules define everything in binary logic, either true or false, which may lead to inaccuracy in malware detection. Fuzzy inference systems use fuzzy rules to reason, where fuzzy rules extend the traditional binary logic to infinite valued logic, which therefore can be used to address the drawbacks of Yara rules. This project aims to develop a prototype fuzzy Yara rule system for malware detection using publicly available datasets. (python) What i did so far is creating a web application built using django to detect malicious URL(s) which include phishing/social engineering/malware infected URL(s) (I could just focus on maybe ransomeware) as I have only done the web user interface only and for the malware database I planned to get from github and will be using VirusTotal API. I am really lost right now :( Anyone could just guide me just the brief of what to do will be good enough as the implementation is the hardest for me -- You received this message because you are subscribed to the Google Groups "YARA" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/yara-project/77a039e6-e5b8-4085-b5e2-360c94f0033an%40googlegroups.com.
