Abstract
The Internet of Things (IoT) is transforming the world into an ecosystem of objects that communicate with each other to enrich our lives. The devices’ collaboration allows the creation of complex applications, where each object can provide one or more services needed for global benefit. The information moves to nodes in a peer-to-peer network, in which the concept of trustworthiness is essential. Trust and Reputation Models (TRMs) are developed with the goal of guaranteeing that actions taken by entities in a system reflect their trustworthiness values and to prevent these values from being manipulated by malicious entities. The cornerstone of any TRM is the ability to generate a coherent evaluation of the information received. Indeed, the feedback generated by the consumers of the services has a vital role as the source of any trust model. In this paper, we focus on the generation of the feedback and propose different metrics to evaluate it. Moreover, we illustrate a new collusive attack that influences the evaluation of the received services. Simulations with a real IoT dataset show the importance of feedback generation and the impact of the new proposed attack.
Highlights
The Internet of Things (IoT) aims to embody into the internet a large number of heterogeneous and pervasive objects that, through standard communication protocols and unique addressing schemes, provide services to the final users [1]
Trust and Reputation Models (TRMs) have the goal to guarantee that actions taken by entities in a system reflect their trustworthiness values, and to prevent these values from being manipulated by malicious entities
We propose a new collusive attack on trust that aims to influence the evaluation of the reference value and to confuse the IoT network
Summary
The Internet of Things (IoT) aims to embody into the internet a large number of heterogeneous and pervasive objects that, through standard communication protocols and unique addressing schemes, provide services to the final users [1]. The number and types of applications that can be realized using these technologies is ever increasing with the most powerful ones requiring things to collaborate by exchanging information and services, e.g., cars that exchange information about the traffic status and the sprinkler that obtains triggering events from distributed smoke detectors Such future IoT applications will likely be developed, making use of a service-oriented architecture, where each device can play the role of a service provider, a service requester, or both. Feedback generation is strictly tied to how well the information received matches the request To this end, the requester has to compute a reference value, which is usually not available since an object does not have any knowledge regarding the ground-truth value of the requested information.
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