Reputation systems have been proposed to distinguish malicious peers and ensure the quality of services in P2P networks. However, only relying on global reputation scores to assess the reliability of file providers can weaken the subjective opinions of file requesters, which is vulnerable to some malicious attacks, e.g., camouflage attack. To address this issue, in this paper, we propose a nove...

online end user trust and consumer behavior research. Online shopping has grown steadily in popularity in recent years as online and hybrid retailers offer an attractive Internet-based service to customers, such as Internet-only deals and shipping discounts. Even though there have been many research endeavors to explain online end user trust and consumer behavior, one of the main questions is h...

abstract— peer-to-peer ( p2p ) systems have been the center of attention in recent years due to their advantage . since each node in such networks can act both as a service provider and as a client , they are subject to different attacks . therefore it is vital to manage confidence for these vulnerable environments in order to eliminate unsafe peers . this paper investigates the use of genetic ...

Nowadays, consumer trust is identified as one of the most important factors in electronic commerce (e-commerce) growth. This has led much research to investigate the role of trust in e-commerce and determine the factors which influence trust in this area. This paper explores factors which are engaged in building initial consumer trust in online shopping when a consumer wants to buy from a websi...

credit decisions are extremely vital for any type of financial institution because it can stimulate huge financial losses generated from defaulters. credit scoring models are decision support systems that take a set of predictor variables as input and provide a score as output and creditors use these models to justify who will get credit and who will not. many different credit scoring models ha...

background : in medical studies, when the joint prediction about occurrence of two events should be anticipated, a statistical bivariate model is used. due to the limitations of usual statistical models, other methods such as artificial neural network (ann) and hybrid models could be used. in this paper, we propose a hybrid artificial neural network-genetic algorithm (ann-ga) model to predictio...

Trust model is an important component of gird security model and can be classified as mission-unaware identity trust model, mission-aware identity trust model, mission-unaware behavior trust model and mission-aware behavior trust model. All of them could be regarded as projections of mission-aware behavior trust model, by which authorization depends on not only the trust but also the cost and q...

this study investigates the factors affecting the brand loyalty of the customers of auto-mobile industry in region of pakistan with the use of ecsi model. a well-organized structured questionnaire was distributed among the customers of auto-mobile industry. the questionnaire was based on 5 point likert-type scale. results show that the customer expectations have a direct positive impact on perc...

The Internet of Things (IoT) and social networking integration, create a new concept named Social Internet of Things (SIoT) according to which the things are able to autonomously establish social relationships with regard to the owners. Things in SIoT operate according to a service-oriented architecture. There may be misbehaving owners and consequently misbehaving devices that can perform harmf...