Ransomware Attacks Threat Modeling Using Bayesian Network

Ransomware is a dangerous malware that blocks access to data through encryption, and it exploits device vulnerabilities perform chain attacks from one system another. This study results in modeling the threat of ransomware using Bayesian Network. The structure model created can be exploited. As basis for calculating probability model, EPSS vulnerability score used. risk exposure rating calculated joint distribution formulation based on attack scenarios. Our shows are most likely exploit CVE-2021-26855, CVE-2021-26857, CVE-2021-27065, CVE-2021-36942, CVE-2017-0144 which has value 0.046534. In addition, use also makes assessment more factual, accurate, effective. method help identifying vulnerabilities, making precise.