Multi-agent distributed systems are characterized by autonomous entities that interact with
each other to provide, and/or request, different kinds of services. In several contexts …

Trust and reputation systems are classes of decision support tools which help detecting
malicious behavior based on collecting ratings and opinions. Despite their advantages …

In many modern network environments, agents of the system have to select optimal service
providers who in turn decide to provide different quality of services. This is while …

Nowadays, trust systems (TSs) are widely used for tackling dishonest entities in many
modern environments. However, these systems are vulnerable to some kinds of attacks …

Researchers in the field of artificial intelligence today are increasingly concerned with
whether the systems which they build will be" trusted AI", in other words, whether they will be …

Trust, an essential concept in human society, plays a crucial role in multi-agent systems by
giving agents the confidence in making decisions as well as maintaining the well-being of …

Trust and reputation systems (TRSs) are used in cooperative environments where an agent
needs to make a decision for requesting or performing a service. However, TRSs can be …

Ratings provided by advisors can help an advisee to make decisions, eg, which seller to
select in e-commerce. Unfair rating attacks-where dishonest ratings are provided to mislead …

Rating systems play a vital role in the exponential growth of service-oriented markets. As
highly rated online services usually receive substantial revenue in the markets, malicious …

In trust systems, unfair rating attacks—where advisors provide ratings dishonestly—
influence the accuracy of trust evaluation. A secure trust system should function properly …