DocumentCode :
3542027
Title :
Reputation Model Based on Trusted Group and Interaction Scene
Author :
Fei Wang ; KeXing Yan ; Min Feng
Author_Institution :
Dept. of Electron. & Inf. Egineering, Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2012
fDate :
21-23 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Spam calls irritate people a lot. Many methods have been proposed to filter spam calls under different backgrounds. Regarding the sociology and psychology as a guide, we tried to propose a reputation model that can work in most backgrounds. In this paper, we proposed a reputation model based on trusted group and interaction scene, and then simulate the system and analysis the results. It appears a satisfactory performance and a rapid learning speed.
Keywords :
e-mail filters; psychology; trusted computing; unsolicited e-mail; interaction scene; learning speed; psychology; reputation model; sociology; spam call filtering; trusted group; Computational modeling; Error analysis; Humans; Mathematical model; Psychology; Sociology; Unsolicited electronic mail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-9646
Print_ISBN :
978-1-61284-684-2
Type :
conf
DOI :
10.1109/WiCOM.2012.6478642
Filename :
6478642
Link To Document :
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