ZHANG, Zhining, WAN, Liang, CHU, Kun, LI, Shusheng, WEI, Haodong und TANG, Lu, 2022. JACLNet:Application of adaptive code length network in Java Script malicious code detection. PLo S ONE. 14 Dezember 2022. Vol. 17, no. 12, p. 1-27. DOI 10.1371/journal.pone.0277891.
Elsevier - Harvard (with titles)Zhang, Z., Wan, L., Chu, K., Li, S., Wei, H., Tang, L., 2022. JACLNet:Application of adaptive code length network in Java Script malicious code detection. PLo S ONE 17, 1-27. https://doi.org/10.1371/journal.pone.0277891
American Psychological Association 7th editionZhang, Z., Wan, L., Chu, K., Li, S., Wei, H., & Tang, L. (2022). JACLNet:Application of adaptive code length network in Java Script malicious code detection. PLo S ONE, 17(12), 1-27. https://doi.org/10.1371/journal.pone.0277891
Springer - Basic (author-date)Zhang Z, Wan L, Chu K, Li S, Wei H, Tang L (2022) JACLNet:Application of adaptive code length network in Java Script malicious code detection.. PLo S ONE 17:1-27. https://doi.org/10.1371/journal.pone.0277891
Juristische Zitierweise (Stüber) (Deutsch)Zhang, Zhining/ Wan, Liang/ Chu, Kun/ Li, Shusheng/ Wei, Haodong/ Tang, Lu, JACLNet:Application of adaptive code length network in Java Script malicious code detection., PLo S ONE 2022, 1-27.