Machine Learning Based Approach to Recommend MITRE ATT&CK Framework for Software Requirements and Design Specifications : AIMS (Artificial Intelligence, Machine Learning, and Security) Research Group

File(s)
Date
2022-04Author
Lasky, Nicholas
Hallis, Benjamin
Advisor(s)
Vanamala, Mounika
Metadata
Show full item recordAbstract
As cyber-attacks increase in volume and sophistication, the current state of cybersecurity solutions is inadequate. According to Red Canary, Advanced Persistent Threat (APT) attacks have increased from approximately 500 attacks per year in 2009 to almost 2,500 APT attacks per year in 2019. The lack of timely detection and response is mainly caused by the insufficient support of attack action correlations and prediction to allow for proactive intrusion, investigation, and mitigation. There are lots of different ways to try and get past security, and it is difficult to create a system that protects against every single one. With the vast amount of data available online, it is necessary to integrate security-related activities and deliverables into each phase of
the software development life cycle.
Subject
Machine learning
Cybersecurity
Systems thinking
Posters
Department of Computer Science
Permanent Link
http://digital.library.wisc.edu/1793/84711Type
Presentation
Description
Color poster with text, charts, and graphs.