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- research-articleDecember 2022
Machine learning techniques for software vulnerability prediction: a comparative study
Applied Intelligence (KLU-APIN), Volume 52, Issue 15Pages 17614–17635https://doi.org/10.1007/s10489-022-03350-5AbstractSoftware vulnerabilities represent a major cause of security problems. Various vulnerability discovery models (VDMs) attempt to model the rate at which the vulnerabilities are discovered in a software. Although several VDMs have been proposed, not ...
- research-articleJanuary 2021
DroidMD: an efficient and scalable Android malware detection approach at source code level
International Journal of Information and Computer Security (IJICS), Volume 15, Issue 2-3Pages 299–321https://doi.org/10.1504/ijics.2021.116310Security researchers and anti-virus industries have speckled stress on an Android malware, which can actually damage your phones and threatens the Android markets. In this paper, we propose and develop DroidMD, a scalable self-improvement based tool, ...
- research-articleJanuary 2021
Vulnerability severity prediction model for software based on Markov chain
International Journal of Information and Computer Security (IJICS), Volume 15, Issue 2-3Pages 109–140https://doi.org/10.1504/ijics.2021.116302Software vulnerabilities primarily constitute security risks. Commonalities between faults and vulnerabilities prompt developers to utilise traditional fault prediction models and metrics for vulnerability prediction. Although traditional models can ...