Optimization of Software Vulnerabilities patterns with the Meta-Heuristic Algorithms

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dc.contributor.authorŞAHİN, CANAN BATUR
dc.date.accessioned2025-10-24T18:04:05Z
dc.date.available2025-10-24T18:04:05Z
dc.date.issued2022
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractIn order to ensure the development of secure software, it is essential to predict software vulnerabilities. Nevertheless, there can be considerable losses in case of an attack on an information system. Detecting a dangerous code, which can lead to severe unknown consequences, requires great effort. There is a strong need to devise meta-heuristic-based approaches to provide effective security and prevent vulnerabilities or mitigate them. The primary focus of studies on software vulnerability prediction models is to specify the best set of predictors that are related to the presence of vulnerabilities. However, the existing vulnerability detection methods suffer from coarse detection granularity and a bias toward global features or local features. The framework proposed in the present work improves optimization algorithms for the best set of optimized vulnerability patterns correlated for software vulnerabilities based on a clock- work memory mechanism. Using the proposed framework, we found vulnerable optimized patterns based on clock-work memory mechanism feature representation learning that directly. The effectiveness of the developed algorithm was further improved with the clock-work memory mechanism based on 6 open-source projects, such as LibTIFF, Pidgin, FFmpeg, LibPNG, Asteriks, and VLC media player datasets.
dc.identifier.doi10.46810/tdfd.1201248
dc.identifier.endpage125
dc.identifier.issn2149-6366
dc.identifier.issue4
dc.identifier.startpage117
dc.identifier.trdizinid1147973
dc.identifier.urihttps://doi.org/10.46810/tdfd.1201248
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1147973
dc.identifier.urihttps://hdl.handle.net/20.500.12899/2616
dc.identifier.volume11
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofTürk Doğa ve Fen Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzTR-Dizin_20251023
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectOptimization
dc.subjectClock-work mechanism
dc.subjectMeta- heuristic algorithm
dc.subjectSoftware vulnerability
dc.titleOptimization of Software Vulnerabilities patterns with the Meta-Heuristic Algorithms
dc.typeArticle

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