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20212023
most citedWhat are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey

63 citations · 92 across the 18 of their papers we have counts for

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14 papers · 1 filter

cs.CR2023

Comparing Effectiveness and Efficiency of Interactive Application Security Testing (IAST) and Runtime Application Self-Protection (RASP) Tools in a Large Java-based System

Aishwarya Seth, Saikath Bhattacharya, Sarah Elder +2

Security resources are scarce, and practitioners need guidance in the effective and efficient usage of techniques and tools available in the cybersecurity industry. Two emerging to…

cs.CR2023★ 1 cited

S3C2 Summit 2023-06: Government Secure Supply Chain Summit

William Enck, Yasemin Acar, Michel Cukier +3

Recent years have shown increased cyber attacks targeting less secure elements in the software supply chain and causing fatal damage to businesses and organizations. Past well-know…

cs.CR2023

S3C2 Summit 2023-02: Industry Secure Supply Chain Summit

Trevor Dunlap, Yasemin Acar, Michel Cucker +4

Recent years have shown increased cyber attacks targeting less secure elements in the software supply chain and causing fatal damage to businesses and organizations. Past well-know…

cs.CR2023★ 1 cited

S3C2 Summit 2202-09: Industry Secure Suppy Chain Summit

Mindy Tran, Yasemin Acar, Michel Cucker +4

Recent years have shown increased cyber attacks targeting less secure elements in the software supply chain and causing fatal damage to businesses and organizations. Past well-know…

cs.CR2023

A Comparative Study of Software Secrets Reporting by Secret Detection Tools

Setu Kumar Basak, Jamison Cox, Bradley Reaves +1

Background: According to GitGuardian's monitoring of public GitHub repositories, secrets sprawl continued accelerating in 2022 by 67% compared to 2021, exposing over 10 million sec…

cs.CR2023

SecretBench: A Dataset of Software Secrets

Setu Kumar Basak, Lorenzo Neil, Bradley Reaves +1

According to GitGuardian's monitoring of public GitHub repositories, the exposure of secrets (API keys and other credentials) increased two-fold in 2021 compared to 2020, totaling…

cs.CR2022★ 1 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.CR2022★ 1 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.CR2022★ 4 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.CR2022

Do Software Security Practices Yield Fewer Vulnerabilities?

Nusrat Zahan, Shohanuzzaman Shohan, Dan Harris +1

Due to the ever-increasing security breaches, practitioners are motivated to produce more secure software. In the United States, the White House Office released a memorandum on Exe…

cs.CR2022★ 18 cited

OpenSSF Scorecard: On the Path Toward Ecosystem-wide Automated Security Metrics

Nusrat Zahan, Parth Kanakiya, Brian Hambleton +2

The OpenSSF Scorecard project is an automated tool to monitor the security health of open-source software. This study evaluates the applicability of the Scorecard tool and compares…

cs.CR2022★ 1 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.CR2022★ 1 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…

cs.CR2021★ 63 cited

What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey

Md Rayhanur Rahman, Rezvan Mahdavi-Hezaveh, Laurie Williams

Cybersecurity researchers have contributed to the automated extraction of CTI from textual sources, such as threat reports and online articles, where cyberattack strategies, proced…