DocumentCode :
2440395
Title :
A Computational Framework for Detecting Malicious Actors in Communities
Author :
Xing Fang ; Zhan, Junpeng
Author_Institution :
Dept. of Comput. Sci. & Eng., North Carolina A&T State Univ., Greensboro, NC, USA
fYear :
2012
fDate :
14-16 Dec. 2012
Firstpage :
339
Lastpage :
343
Abstract :
Despite the significant research achievements on the study of communities, how to maintain a benign social environment for a community, as a problem, has not received much attention. Current existing malicious activity detecting mechanisms are subject to the limitation of the underlying online environment. However, we found that information plays an important role in terms of socialization. Malicious activities, like diffusing unreliable information and providing inappropriate critics, can severely impact the situation of a community\´s social environment. In this paper, we propose a computational framework for detecting malicious actors in communities from the perspective information diffusion. We use the term, "malicious actors", to represent a group of people who intentionally or unintentionally conduct malicious behaviors to sabotage benign social environments of communities.
Keywords :
social networking (online); trusted computing; benign social environment; communities; inappropriate critics; malicious activity detecting mechanisms; malicious actors detection; perspective information diffusion; unreliable information diffusion; community; computational framework; information diffusion; malicious actors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Social Informatics (SocialInformatics), 2012 International Conference on
Conference_Location :
Lausanne
Print_ISBN :
978-1-4799-0234-7
Type :
conf
DOI :
10.1109/SocialInformatics.2012.109
Filename :
6542460
Link To Document :
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