K- Zero Day Safety- Metric for Measuring the Risk of Unknown Vulnerabilities

摘要: Today's computer networks face intelligent attackers who combine multiple vulnerabilities to penetrate with destructive impact. The overall network security cannot be determined by simply counting the number of vulnerabilities. Due less predictable nature software flaws we can’t measure risk unknown This affects metrics, because a safer configuration would little value if it were equally vulnerable zero-day attacks. In this paper, instead just measuring how much such vulnerability required for compromising assets can also attempting rank By using collaborative filtering technique different (types of) and novel metrics uncertain dynamic data propose Flexible Robust k-Zero Day Safety model