Trust Calculation with Ant Colony Optimization in Online Social Networks

被引:16
|
作者
Sanadhya, Shashvat [1 ]
Singh, Shailendra [1 ]
机构
[1] NITTTR, Dept CEA, Bhopal, MP, India
关键词
Swarm intelligence; ACO; Trust; Social intimacy pheromone; Probabilistic trust rule; Trust ACO;
D O I
10.1016/j.procs.2015.06.021
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Real world lives in the 'Aeon' of virtual connectivity; social network is a platform where people share emotions, activities, relation etc. Second generation online social networking online comes in existence with service-oriented environment, In which lots of service requester and service provider, connect to each other with many different paths. Among 'N' number of path finding a trust path for trustworthy services is major task. In this paper with the help of ant colony optimization (ACO) we are calculating trust path, trust cycle. Hence we are proposing an algorithm (Trust-ACO) to calculate trust in online social network. Trust calculation is based on probabilistic trust rule, social intimacy pheromone. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:186 / 195
页数:10
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