LIU, Zhonglin, FANG, Yong, HUANG, Cheng und XU, Yijia, 2023. MFXSS: An effective XSS vulnerability detection method in Java Script based on multi-feature model. Computers & Security. 1 Januar 2023. Vol. 124, , p. N.PAG-0. DOI 10.1016/j.cose.2022.103015.
Elsevier - Harvard (with titles)Liu, Z., Fang, Y., Huang, C., Xu, Y., 2023. MFXSS: An effective XSS vulnerability detection method in Java Script based on multi-feature model. Computers & Security 124, N.PAG-0. https://doi.org/10.1016/j.cose.2022.103015
American Psychological Association 7th editionLiu, Z., Fang, Y., Huang, C., & Xu, Y. (2023). MFXSS: An effective XSS vulnerability detection method in Java Script based on multi-feature model. Computers & Security, 124, N.PAG-0. https://doi.org/10.1016/j.cose.2022.103015
Springer - Basic (author-date)Liu Z, Fang Y, Huang C, Xu Y (2023) MFXSS: An effective XSS vulnerability detection method in Java Script based on multi-feature model.. Computers & Security 124:N.PAG-0. https://doi.org/10.1016/j.cose.2022.103015
Juristische Zitierweise (Stüber) (Deutsch)Liu, Zhonglin/ Fang, Yong/ Huang, Cheng/ Xu, Yijia, MFXSS: An effective XSS vulnerability detection method in Java Script based on multi-feature model., Computers & Security 2023, N.PAG-0.