Victimization analysis model of user network behavior based on network traffic

Autor:	Shengli ZHOU, Xiaoyang XU
Jazyk:	čínština
Rok vydání:	2021
Předmět:	network traffic network behavior coding association rules mining victimization analysis Telecommunication TK5101-6720 Technology
Zdroj:	Dianxin kexue, Vol 37, Pp 125-134 (2021)
Druh dokumentu:	article
ISSN:	1000-0801 45539065
DOI:	10.11959/j.issn.1000-0801.2021041
Popis:	The analysis of network victimization is of great significance to the prevention and control of telecom fraud.By studying the network traffic generated by the interaction between users and websites, a victimization identification model of telecom fraud crime based on network behavior flow analysis was proposed, the association rules between different behavior characteristics were analyzed, the behavior sequence features were reconstructed, and the victimization of network behavior sequence with random forest algorithm was evaluated.Based on the network behavior data set of public security organs, the experiment proves that the model can effectively improve the recognition accuracy of network behavior victimization.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9ba93c285a6a4553906576b3db6cdbff Zobrazit plný text záznamu View record in DOAJ