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
- EP ID EP185874
- DOI 10.7508/jist.2014.04.005
- Views 111
- Downloads 0
Active Steganalysis of Transform Domain Steganography Based on Sparse Component Analysis
This paper presents a new active steganalysis method to break the transform domain steganography. Most of steganalysis techniques focus on detecting the presence or absence of a secret message in a cover (passive stegana...
Quality Assessment Based Coded Apertures for Defocus Deblurring
A conventional camera with small size pixels may capture images with defocused blurred regions. Blurring, as a low-pass filter, attenuates or drops details of the captured image. This fact makes deblurring as an ill-pose...
A Learning Automata Approach to Cooperative Particle Swarm Optimizer
This paper presents a modification of Particle Swarm Optimization (PSO) technique based on cooperative behavior of swarms and learning ability of an automaton. The approach is called Cooperative Particle Swarm Optimizati...
Simultaneous Methods of Image Registration and Super-Resolution Using Analytical Combinational Jacobian Matrix
In this paper we propose two new simultaneous image registration (IR) and super-resolution (SR) methods using a novel approach to calculate the Jacobian matrix. SR is the process of fusing several low resolution (LR) ima...
High I/Q Imbalance Receiver Compensation and Decision Directed Frequency Selective Channel Estimation in an OFDM Receiver Employing Neural Network
The disparity introduced between In-phase and Quadrature components in a digital communication system receiver known as I/Q imbalance is a prime objective within the employment of direct conversion architectures. It redu...