Trust evaluation in unsupervised network: A fuzzy logic approach

Journal Title: Journal of Information Systems and Telecommunication - Year 2014, Vol 2, Issue 4

Abstract

Because of the possibility of anonymity and impersonation in social networks, trust plays an important role in these networks. Pear to pear networks, by eliminating the supervisor roles, besides its benefit in decreasing management costs, have problems in trust and security of users. In this research, by using social networks as supervised networks, trust level of users is evaluated and by identifying these users in unsupervised networks, appropriate trust level is assigned to them.

Authors and Affiliations

Golnar Assadat Afzali, Monireh Hosseini

Keywords

Related Articles

Node Classification in Social Network by Distributed Learning Automata

The aim of this article is improving the accuracy of node classification in social network using Distributed Learning Automata (DLA). In the proposed algorithm using a local similarity measure, new relations between node...

Speech Emotion Recognition Based on Fusion Method

Speech emotion signals are the quickest and most neutral method in individuals’ relationships, leading researchers to develop speech emotion signal as a quick and efficient technique to communicate between man and machin...

A fuzzy approach for ambiguity reducing in text similarity estimation (case study: Persian web contents)

Finding similar web contents have great efficiency in academic community and software systems. There are many methods and metrics in literature to measure the extent of text similarity among various documents and some it...

Referral Traffic Analysis: A Case Study of the Iranian Students' News Agency (ISNA)

Web traffic analysis is a well-known e-marketing activity. Today most of the news agencies have entered the web providing a variety of online services to their customers. The number of online news consumers is also incre...

Acoustic Noise Cancellation Using an Adaptive Algorithm Based on Correntropy Criterion and Zero Norm Regularization

The least mean square (LMS) adaptive algorithm is widely used in acoustic noise cancellation (ANC) scenario. In a noise cancellation scenario, speech signals usually have high amplitude and sudden variations that are mod...

Download PDF file
  • EP ID EP185874
  • DOI 10.7508/jist.2014.04.005
  • Views 132
  • Downloads 0

How To Cite

Golnar Assadat Afzali, Monireh Hosseini (2014). Trust evaluation in unsupervised network: A fuzzy logic approach. Journal of Information Systems and Telecommunication, 2(4), 232-241. https://europub.co.uk/articles/-A-185874