The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
A Survey on Systems Security Metrics
Open accessAbstract
Security metrics have received significant attention. However, they have not been systematically explored based on the understanding of attack-defense interactions, which are affected by various factors, including the degree of system vulnerabilities, the power of system defense mechanisms, attack (or threat) severity, and situations a system at risk faces. This survey particularly focuses on how a system security state can evolve as an outcome of cyber attack-defense interactions. This survey concerns how to measure system-level security by proposing a security metrics framework based on the following four sub-metrics: (1) metrics of system vulnerabilities , (2) metrics of defense power , (3) metrics of attack or threat severity , and (4) metrics of situations . To investigate the relationships among these four sub-metrics, we propose a hierarchical ontology with four sub-ontologies corresponding to the four sub-metrics and discuss how they are related to each other. Using the four sub-metrics, we discuss the state-of-art existing security metrics and their advantages and disadvantages (or limitations) to obtain lessons and insight in order to achieve an ideal goal in developing security metrics. Finally, we discuss open research questions in the security metrics research domain and we suggest key factors to enhance security metrics from a system security perspective.
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Human Cognition Through the Lens of Social Engineering Cyberattacks
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Self-citationEstablishing and evaluating trustworthy AI: overview and research challenges
Kowald, D., Scher, S., Pammer-Schindler, V., Müllner, P., Waxnegger, K., Demelius, L., Fessl, A., Toller, M., Mendoza Estrada, I. G., Šimić, I., et al. (2024) · Frontiers in Big Data · doi:10.3389/fdata.2024.1467222 · Cited by 59
Towards a Zero-Trust Micro-segmentation Network Security Strategy: An Evaluation Framework
Basta, N., Ikram, M., Kaafar, M. A., & Walker, A. (2022) · NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium · doi:10.1109/noms54207.2022.9789888 · Cited by 56
Respite for SMEs: A Systematic Review of Socio-Technical Cybersecurity Metrics
van Haastrecht, M., Yigit Ozkan, B., Brinkhuis, M., & Spruit, M. (2021) · Applied Sciences · doi:10.3390/app11156909 · Cited by 45
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Mattioli, J., Sohier, H., Delaborde, A., Amokrane-Ferka, K., Awadid, A., Chihani, Z., Khalfaoui, S., & Pedroza, G. (2024) · AI and Ethics · doi:10.1007/s43681-023-00394-2 · Cited by 22
Metadata
- Authors
- Pendleton, M., Garcia-Lebron, R., Cho, J.-H., & Xu, S.
- Venue
- ACM Computing Surveys
- Published
- 2016-12-20
- Volume
- 49
- Issue
- 4
- Pages
- 1-35
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2564147261
- Cited by
- 283
- References
- 105
- FWCI
- 44.59
- Type
- journal article
- Language
- en
- Open access
- bronze
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