Keyword

software vulnerabilities

Description: Software vulnerabilities are flaws or weaknesses in software that attackers can exploit to compromise confidentiality, integrity, or availability.

Primary topic: Web Application Security Vulnerabilities (25%)

Wikidata ID: wiki/Q631425

OpenAlex ID: keywords/software-vulnerabilities

Automated Whitebox Fuzz Testing.

2008 · Patrice Godefroid, Michael Y. Levin, et al. · 1,097

A survey of emerging threats in cybersecurity

2014 · Julian Jang-Jaccard, Surya Nepal · Journal of Computer and System Sciences · 890

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The official PGP user's guide

1996 · Philip Zimmermann · 890

Synthetic data in machine learning for medicine and healthcare

2021 · Richard J. Chen, Ming Y. Lu, et al. · Nature Biomedical Engineering · 722

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A Survey of Symbolic Execution Techniques

2018 · Roberto Baldoni, Emilio Coppa, et al. · ACM Computing Surveys · 705

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Common Vulnerability Scoring System

2006 · Peter Mell, Karen Scarfone, et al. · IEEE Security & Privacy · 680

Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities

2010 · Yonghee Shin, Andrew Meneely, et al. · IEEE Transactions on Software Engineering · 607

The Art, Science, and Engineering of Fuzzing: A Survey

2019 · Valentin J.M. Manes, HyungSeok Han, et al. · IEEE Transactions on Software Engineering · 569

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A taxonomy of computer program security flaws

1994 · Carl E. Landwehr, Alan R. Bull, et al. · ACM Computing Surveys · 451

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Predicting vulnerable software components

2007 · Stephan Neuhaus, Thomas Zimmermann, et al. · Proceedings of the ACM Conference on Computer and Communications Security · 429

Lessons from Stuxnet

2011 · T M Chen, S Abu-Nimeh · Computer · 396

VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery

2017 · Seulbae Kim, Seunghoon Woo, et al. · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 388

Software Vulnerability Analysis and Discovery Using Machine-Learning and Data-Mining Techniques

2017 · Seyed Mohammad Ghaffarian, Hamid Reza Shahriari · ACM Computing Surveys · 353

Elaborating Security Requirements by Construction of Intentional Anti-Models

2004 · van Lamsweerde, Axel, Proceedings. 26th International Conference on Software Engineering · 350

ITS4: a static vulnerability scanner for C and C++ code

2002 · J. Viega, J.T. Bloch, et al. · Annual Computer Security Applications Conference · 332

A practical dynamic buffer overflow detector

2004 · Olatunji Ruwase, Monica S. Lam · 320

discovRE: Efficient Cross-Architecture Identification of Bugs in Binary Code

2016 · Sebastian Eschweiler, Khaled Yakdan, et al. · Network and Distributed System Security Symposium · 315

Software vulnerability analysis

1998 · Ivan Krsul, Eugene H. Spafford · 290

Fuzzing for Software Security Testing and Quality Assurance

2008 · Ari Takanen, Jared D. DeMott, et al. · 285

On the value of static analysis for fault detection in software

2006 · J. Zheng, L. Williams, et al. · IEEE Transactions on Software Engineering · 284

Is finding security holes a good idea?

2005 · E. Rescorla · IEEE Security & Privacy · 276

Building secure software

2002 · Ken Frazer · ACM SIGSOFT Software Engineering Notes · 268

Automatic exploit generation

2014 · Thanassis Avgerinos, Sang Kil Cha, et al. · Communications of the ACM · 264

Beyond heuristics

2010 · Mehran Bozorgi, Lawrence K. Saul, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 261

ReDeBug: Finding Unpatched Code Clones in Entire OS Distributions

2012 · Jiyong Jang, Abeer Agrawal, et al. · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 255

Works count: 6,559

Citation count: 48,160