most citedFrom Threat Reports to Continuous Threat Intelligence: A Comparison of Attack Technique Extraction Methods from Textual Artifacts

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR20221 cited

An investigation of security controls and MITRE ATT\&CK techniques

Md Rayhanur Rahman, Laurie Williams

Attackers utilize a plethora of adversarial techniques in cyberattacks to compromise the confidentiality, integrity, and availability of the target organizations and systems. Infor…

cs.CR20221 cited

Investigating co-occurrences of MITRE ATT\&CK Techniques

Md Rayhanur Rahman, Laurie Williams

Cyberattacks use adversarial techniques to bypass system defenses, persist, and eventually breach systems. The MITRE ATT\&CK framework catalogs a set of adversarial techniques and…

cs.CR20224 cited

From Threat Reports to Continuous Threat Intelligence: A Comparison of Attack Technique Extraction Methods from Textual Artifacts

Md Rayhanur Rahman, Laurie Williams

The cyberthreat landscape is continuously evolving. Hence, continuous monitoring and sharing of threat intelligence have become a priority for organizations. Threat reports, publis…

cs.CR20221 cited

Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)

Rui Shu, Tianpei Xia, Huy Tu +2

Background: Most of the existing machine learning models for security tasks, such as spam detection, malware detection, or network intrusion detection, are built on supervised mach…

cs.CR20221 cited

Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue

Rui Shu, Tianpei Xia, Laurie Williams +1

Background: Machine learning techniques have been widely used and demonstrate promising performance in many software security tasks such as software vulnerability prediction. Howev…