{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T05:02:18Z","timestamp":1769922138142,"version":"3.49.0"},"reference-count":44,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2023,8,16]],"date-time":"2023-08-16T00:00:00Z","timestamp":1692144000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJICC"],"published-print":{"date-parts":[[2024,2,29]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>With the rapid development of Internet technology, cybersecurity threats such as security loopholes, data leaks, network fraud, and ransomware have become increasingly prominent, and organized and purposeful cyberattacks have increased, posing more challenges to cybersecurity protection. Therefore, reliable network risk assessment methods and effective network security protection schemes are urgently needed.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>Based on the dynamic behavior patterns of attackers and defenders, a Bayesian network attack graph is constructed, and a multitarget risk dynamic assessment model is proposed based on network availability, network utilization impact and vulnerability attack possibility. Then, the self-organizing multiobjective evolutionary algorithm based on grey wolf optimization is proposed. And the authors use this algorithm to solve the multiobjective risk assessment model, and a variety of different attack strategies are obtained.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The experimental results demonstrate that the method yields 29 distinct attack strategies, and then attacker's preferences can be obtained according to these attack strategies. Furthermore, the method efficiently addresses the security assessment problem involving multiple decision variables, thereby providing constructive guidance for the construction of security network, security reinforcement and active defense.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>A method for network risk assessment methods is given. And this study proposed a multiobjective risk dynamic assessment model based on network availability, network utilization impact and the possibility of vulnerability attacks. The example demonstrates the effectiveness of the method in addressing network security risks.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ijicc-05-2023-0121","type":"journal-article","created":{"date-parts":[[2023,8,16]],"date-time":"2023-08-16T06:02:54Z","timestamp":1692165774000},"page":"38-60","source":"Crossref","is-referenced-by-count":13,"title":["Multiobjective network security dynamic assessment method based on Bayesian network attack graph"],"prefix":"10.1108","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2329-2144","authenticated-orcid":false,"given":"Jialiang","family":"Xie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8347-2019","authenticated-orcid":false,"given":"Shanli","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honghui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1232-2824","authenticated-orcid":false,"given":"Mingzhi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2023,8,16]]},"reference":[{"issue":"8","key":"key2024022811223749100_ref001","first-page":"175","article-title":"A safety\/security risk analysis approach of Industrial Control Systems: a cyber bowtie Combining new version of attack tree with bowtie analysis","volume":"72","year":"2018","journal-title":"Computers and Security"},{"issue":"2","key":"key2024022811223749100_ref002","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/s40747-018-0087-7","article-title":"AHP-CTOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis","volume":"5","year":"2019","journal-title":"Complex and Intelligent Systems"},{"key":"key2024022811223749100_ref003","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.cose.2017.09.011","article-title":"Improving risk assessment model of cyber security using fuzzy logic inference system","volume":"74","year":"2018","journal-title":"Computers and Security"},{"key":"key2024022811223749100_ref004","first-page":"726","article-title":"A multi-objective approach for security hardening and probabilistic vulnerability assessment on attack graphs","year":"2022"},{"key":"key2024022811223749100_ref005","first-page":"52","article-title":"Evaluation of security vulnerability scanners for small and medium enterprises business networks resilience towards risk assessment","year":"2019"},{"key":"key2024022811223749100_ref006","first-page":"7186","article-title":"Towards a multiobjective framework for evaluating network security under exploit attacks","year":"2015"},{"issue":"6","key":"key2024022811223749100_ref007","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1049\/iet-ifs.2014.0272","article-title":"Exploring risk flow attack graph for security risk assessment","volume":"9","year":"2015","journal-title":"IET Information Security"},{"key":"key2024022811223749100_ref008","first-page":"7","article-title":"Grey wolf optimization for one-against-one multi-class support vector machines","year":"2015"},{"key":"key2024022811223749100_ref009","first-page":"297","article-title":"A hybrid classification model for emg signals using grey wolf optimizer and SVMs","year":"2016"},{"issue":"3","key":"key2024022811223749100_ref010","first-page":"145","article-title":"Dendritic cells algorithm and its application to Nmap portscan detection","volume":"9","year":"2012","journal-title":"China Communications"},{"key":"key2024022811223749100_ref011","first-page":"698","article-title":"Measuring network security using bayesian network-based attack graphs","year":"2008"},{"key":"key2024022811223749100_ref012","doi-asserted-by":"crossref","unstructured":"Frigault, M. and Wang, L.Y. 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