Reputation risk as one of the most important risks in any competitive industry and market should be considered before all the risks of the enterprise which also affects other risks. This research aims to review and manage reputation risk in the framework of enterprise risk management. Considering the importance of the subject and lack of available studies in this field, the innovation of presen...

The availability of a huge amount of information on the Web raises a set of issues concerning the research, the selection, and the representation of trustworthy sources and services. This paper describes a new research, which we have recently started and that aims at developing a platform to support users in the creation of mashup-based personalized self-service environments, where the users ca...

Security on the Internet is a serious and broad problem without satisfactory solution so far. One of the problems faced by the Internet is at the level of Internet service providers and autonomous systems. This space is highly distributed and without central control, driven primarily by the economic factors. This creates huge problems and threatens the Internet stability and long term growth. M...

To improve the robustness and ease-of-use of Evolutionary Algorithms (EAs), adaptation on evolutionary operators and control parameters shows significant advantages over fixed operators with default parameter settings. To date, many successful research efforts to adaptive EAs have been devoted to Single-objective Optimization Problems (SOPs), whereas, few studies have been conducted on Multiobj...

In this paper, we propose a market model which is based on reputation and reinforcement learning algorithms for buying and selling agents. Three important factors: quality, price and delivery-time are considered in the model. We take into account the fact that buying agents can have different priorities on quality, price and delivery-time of their goods and selling agents adjust their bids acco...

Encouraging cooperation among selfish individuals is crucial in many real-world systems, where individuals' collective behaviors can be analyzed using evolutionary public goods game. Along this line, extensive studies have shown that reputation is an effective mechanism to investigate the evolution of cooperation. In most existing studies, participating individuals in a public goods game are as...

Each participant in peer-to-peer network prefers to free-ride on the contribution of other participants. Reputation based resource sharing is a way to control the free riding. Instead of classical game theory we use evolutionary game theory to analyse the reputation based resource sharing in peer to peer system. Classical game-theoretical approach requires global information of the population. ...

Reputation systems can be tricked by the spread of false reputation ratings, be it false accusations or false praise. Simple solutions such as exclusively relying on one’s own direct observations have drawbacks, as they do not make use of all the information available. We propose a fully distributed reputation system that can cope with false disseminated information. In our approach, everyone m...

Reputation systems play an important role in many Internet communities. They allow individuals to estimate other individual’s behavior during interactions. However, a more privacy-friendly reputation system is desirable while maintaining its trustworthiness. This paper presents a fair anonymous submission and review system. The review process is reputation-based and provides better anonymity pr...

P2P reputation systems are useful to evaluate the trustworthiness of peers and to combat malicious and selfish peer behaviors. The reputation system assigns each peer a global reputation scores through collecting locally generated peer feedbacks and aggregation. In traditional reputation system, a peer will rate the other by a score, after finished a transaction, No more detail of transaction a...