Information Journal Paper
APA:
CopyMAHONEY, M.V., & CHAN, P.K.. (2002). LEARNING NONSTATIONARY MODELS OF NORMAL NETWORK TRAFFIC FOR DETECTING NOVEL ATTACKS. PROCEEDINGS OF THE ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, -(8), 376-385. SID. https://sid.ir/paper/606870/en
Vancouver:
CopyMAHONEY M.V., CHAN P.K.. LEARNING NONSTATIONARY MODELS OF NORMAL NETWORK TRAFFIC FOR DETECTING NOVEL ATTACKS. PROCEEDINGS OF THE ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING[Internet]. 2002;-(8):376-385. Available from: https://sid.ir/paper/606870/en
IEEE:
CopyM.V. MAHONEY, and P.K. CHAN, “LEARNING NONSTATIONARY MODELS OF NORMAL NETWORK TRAFFIC FOR DETECTING NOVEL ATTACKS,” PROCEEDINGS OF THE ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, vol. -, no. 8, pp. 376–385, 2002, [Online]. Available: https://sid.ir/paper/606870/en