Event Details
A Machine Learning Framework for Malware Triage
Presenter: Soroush Danaeifard
Supervisor:
Date: Mon, August 5, 2024
Time: 09:00:00 - 00:00:00
Place: Remote Via Zoom
ABSTRACT
Title: A Machine Learning Framework for Malware Triage
Speaker: Soroush Danaeifard
Supervisors: Dr. Issa Traore
Date & Time: Aug 5, 2024, Monday, 09:00 am.
Pacific Time (Canada and US)
Location: Remote via Zoom
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Meeting ID: 730 946 6548
Password: 645466
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ABSTRACT
Every day, thousands of new malicious software emerge globally, posing threats to consumer devices, stealing private data, or inducing financial losses. The increasing number and sophistication of malware threats underscores the need for effective and efficient malware detection and triage schemes. Malware triage is a process used by cybersecurity professionals to quickly assess, prioritize, and respond to malware incidents. Effective malware triage requires a combination of automated tools, skilled personnel, and well-defined procedures to respond to malware incidents quickly and accurately, minimizing damage and recovery time. An essential aspect of the triage is the categorization and prioritization task which enables determining malware type. Automating such process helps save valuable time for cybersecurity analysts and investigators.