Trustworthiness management in the IoT: The importance of the feedback

Abstract

The Internet of Things (IoT) is creating a world where physical objects are seamlessly integrated to provide advanced and intelligent services for human beings in their day-to-day life style. The realization of complex applications comes from the collaboration of groups of objects; in such a network, objects seek other devices that can provide the services they need for the implementation of the applications they are taking part to. Before exploiting the found services, it is important to evaluate to which extent the potential service providers are trustable. In the resulting trustworthiness management model, an important role is taken by the feedback generated by the consumers of the service. In this paper, we focus on the challenge of generating consistent feedback for the trust evaluation in the exchange of services in IoT. We start by discussing how the concept of feedback has been exploited so far in trust management systems; then, we analyze the different aspects of the feedback so that it results to be a multi-dimensional concept

A Heterogeneous Layer-Based Trustworthiness Model for Long Backhaul NVIS Challenging Networks and an IoT Telemetry Service for Antarctica

“…In that case, sensed data (e.g., temperature, humidity, position, ice content) are considered to be faultily sensed if the value stored in the sensing (source) node’s memory is different from the value that the sensor should have correctly read (within a tolerance percentage). In real implementations, the number of FSV can only be measured if the sensed data’s value is known a priori (ground truth) [ 61 ]. Otherwise, only in simulations it is possible to quantify the number of FSV.…”

A Prospect Theoretic Approach for Trust Management in IoT Networks Under Manipulation Attacks

“…The above integral has the same form as Equation (22). Hence, the integral portion of Equation ( 28), named I 2 , can be rewritten similar to Equation (23) as:…”

“…In situations where multiple devices in a network contend for resources, it is very common that some may deviate from the mutually-agreed upon norms to either i) illegitimately draw additional benefits or ii) mislead a central entity (i.e., IoT hub) from reaching a fair decision [7]. Thus, there exists a demand for a mechanism that evaluate the trustworthiness of the devices through trust and reputation scores [22,37]. Usually, trustworthiness is assigned to individual IoT devices based on the quality of information they share with others.…”

Trust Management of Smart Service Communities

“…However, their work fails to consider temporal and spatial factors which can be utilized (e.g., for assessing the quality of an SP and a witness). Nitti et al [20] discussed the importance of feedback in trustworthiness management in the IoT. They stressed the importance of both short-term context associated with environmental conditions and long-term context, including the trustee Quality of Experience, for accurate feedback assessment.…”

“…They stressed the importance of both short-term context associated with environmental conditions and long-term context, including the trustee Quality of Experience, for accurate feedback assessment. Relative to the works cited above [19], [20], we consider one-to-one subjective trust assessment for both SR-SP service rating and SR-SR credibility rating assessments; in addition, we leverage IoT-assisted technology for collecting measurements of user-specified performance metrics, taking into account various context factors related to time, location, and capability of IoT devices.…”