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Practitioner Perception of Vulnerability Discovery Strategies
2021 IEEE/ACM 2nd International Workshop on Engineering and Cybersecurity of Critical Systems (EnCyCriS), 2021The fourth industrial revolution envisions industry manufacturing systems to be software driven where mundane manufacturing tasks can be automated. As software is perceived as an integral part of this vision, discovering vulnerabilities is of paramount of importance so that manufacturing systems are secure.
Farzana Ahamed Bhuiyan +3 more
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Modeling Skewness in Vulnerability Discovery
Quality and Reliability Engineering International, 2013A vulnerability discovery model attempts to model the rate at which the vulnerabilities are discovered in a software product. Recent studies have shown that the S‐shaped Alhazmi–Malaiya Logistic (AML) vulnerability discovery model often fits better than other models and demonstrates superior prediction capabilities for several major software systems ...
HyunChul Joh, Yashwant K. Malaiya
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Vulnerabilities in Discovery Tech
2021Recent technological advances are changing the litigation landscape, especially in the context of discovery. For nearly two decades, technologies have reinvented document searches in complex litigation, normalizing the use of machine learning algorithms under the umbrella of “Technology Assisted Review” (TAR).
Neel Guha +2 more
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Fuzzing: on the exponential cost of vulnerability discovery
Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020We present counterintuitive results for the scalability of fuzzing. Given the same non-deterministic fuzzer, finding the same bugs linearly faster requires linearly more machines. For instance, with twice the machines, we can find all known bugs in half the time. Yet, finding linearly more bugs in the same time requires exponentially more machines. For
Marcel Böhme, Brandon Falk
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AutoDE: Automated Vulnerability Discovery and Exploitation
2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC), 2019Recently, automated testing for software vulnerability finding and exploitation has attracted more and more attention, due to the high scalability and efficiency. However, it is non-trivial and challenging since the existing methods have limited effectiveness to discover vulnerabilities, that are exploitable to hack the software.
Yuntao Zhang +4 more
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Improving vulnerability discovery models
Proceedings of the 2007 ACM workshop on Quality of protection, 2007Security researchers are applying software reliability models to vulnerability data, in an attempt to model the vulnerability discovery process. I show that most current work on these vulnerability discovery models (VDMs) is theoretically unsound. I propose a standard set of definitions relevant to measuring characteristics of vulnerabilities and their
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Assisted discovery of software vulnerabilities
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018As more aspects of our daily lives rely on technology, the software that enables the technology must be secure. Developers rely on practices such as threat modeling, static and dynamic analyses, code review, and fuzz and penetration testing to engineer secure software.
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Research on the architecture of vulnerability discovery technology
2010 International Conference on Machine Learning and Cybernetics, 2010Vulnerability discovery is base technology in information system development, product testing and counterinformation. At present, vulnerability discovery already has been turned into the hot spot of the global security researches. There are so many kinds of vulnerability discovery methods. Many vulnerabilities has been found each year.
You-Chun Zhang +3 more
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Pattern-based methods for vulnerability discovery
it - Information Technology, 2017Abstract Discovering and eliminating critical vulnerabilities in program code is a key requirement for the secure operation of software systems. This task rests primarily on the shoulders of experienced code analysts who inspect programs in-depth to identify weaknesses. As software systems grow in complexity, while the amount of security
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Vulnerability Discovery for All: Experiences of Marginalization in Vulnerability Discovery
2023 IEEE Symposium on Security and Privacy (SP), 2023Kelsey R. Fulton +6 more
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