An Efficient Approach to Assessing the Risk of Zero-Day Vulnerabilities
M. Albanese, Sushil Jajodia, Anoop Singhal, Lingyu Wang
Computer systems are vulnerable to both known and zero-day attacks. Although known attack patterns can be easily modeled, thus enabling the definition of suitable hardening strategies, handling zero-day vulnerabilities is inherently difficult due to their unpredictable nature. Previous research has attempted to assess the risk associated with unknown attack patterns, and a metric to quantify such risk, the k-zero-day safety metric, has been defined. However, existing algorithms for computing this metric are not scalable, and assume that complete zero-day attack graphs have been generated, which may be unfeasible in practice for large networks. In this paper, we propose a framework comprising a suite of polynomial algorithms for estimating the k-zero-day safety of possibly large networks efficiently, without pre-computing the entire attack graph. We validate our approach experimentally, and show that the proposed solution is computationally efficient and accurate.
E-Business and Telecommunications (Communications in Computer and Information Science)
July 29-31, 2013
10th International Conference on Security and Cryptography (SECRYPT 2013)
, Jajodia, S.
, Singhal, A.
and Wang, L.
An Efficient Approach to Assessing the Risk of Zero-Day Vulnerabilities, E-Business and Telecommunications (Communications in Computer and Information Science), Reykjavik, IS, [online], https://doi.org/10.1007/978-3-662-44788-8_19, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=913051
(Accessed September 21, 2023)