S. A. V. I. O. R: Security Analytics on Asset Vulnerability for Information Abstraction and Risk Analysis

Artificial intelligence for system security assurance: A systematic literature review

“…[85], [150], [102], [126], [158] Vulnerability Classi cation [112], [131], [76], [117] Vulnerability Impact Analysis [199], [66], [99] Vulnerability Analytics [139], [9], [41], [77], [128] Risk Assessment Comprehensive Risk Assessment Framework [23], [48], [95], [175], [5], [22], [75], [62], [179], [122] Quantitative Risk Analysis [176], [65], [192], [7], [196], [195], [89], [189] Risk Classi cation and Prioritization [143], [194], [8] Automated and Dynamic Risk Analysis…”

“…This approach combines real-world data with genetic programming to evolve graph-based heuristics, predicting attack paths and identifying potential breaches. Similarly, Article [41] describes a methodology for vulnerability analysis using multiclass perceptron's to classify asset vulnerabilities based on metrics like severity and the age of the last scan. These classi cations help prioritize assets for remediation, enhancing overall security management.…”

“…Web Application [72], [71], [45], [41], [78], [126] Mobile Applications [42], [118], [54], [192], [39], [89], [8], [122], [177], [137], [174] IoT System [21], [80], [38], [160], [133], [199], [167], [148], [111], [191] Cyber-Physical System [76], [95], [94], [87], [77] Power and Connected and Autonomous Vehicles…”