Abstract

Abstract

Abstract

The advent of Internet-of-Things (IoT) is creating an ecosystem of smart applications and services enabled by a multitude of sensors. The real value of these IoT smart applications comes from analyzing the information provided by these sensors. Information fusion improves information completeness/quality and, hence, enhances estimation about the state of things. Lack of trust and therefore, malicious activities renders the information fusion process and hence, IoT smart applications unreliable. Behavior-related issues associated with the data sources, such as trustworthiness, honesty, and accuracy, must be addressed before fully utilizing these smart applications. In this article, we argue that behavior trust modeling is indispensable to the success of information fusion and, hence, to smart applications. Unfortunately, the area is still in its infancy and needs further research to enhance information fusion. The aim of this article is to raise the awareness and the need of behavior trust modelling and its effect on information fusion. Moreover, this survey describes IoT architectures for modelling trust as well as classification of current IoT trust models. Finally, we discuss future directions towards trustworthy reliable fusion techniques.

This paper presents a trust brokering system that operates in a peer-to-peer manner. The network of trust brokers operate by providing peer reviews in the form of recommendations regarding potential resource targets. One of the distinguishing features of our work is that it separately models the accuracy and honesty concepts. By separately modeling these concepts, our model is able to significantly improve the performance. We apply the trust brokering system to a resource manager to illustrate its utility in a publicresource Grid environment. The simulations performed to evaluate the trust-aware resource management strategies indicate that high levels of "robustness" can be attained by considering trust while allocating the resources.

The peer-to-peer approach to design large-scale systems has significant benefits including scalability, low cost of ownership, robustness, and ability to provide site autonomy. However, this approach has several drawbacks as well including trust issues and lack of coordination and control among the peers. In this paper, we present a trust model for a peer-to-peer structured large-scale network computing system and completely define the trust model and describe the schemes used in it. Central to the model is the idea of maintaining a recommneder network that can be used to obtain references about a target domain. Simulation results indicate that the trust model is capable of building and maintaning trust and also identifying the bad domains.

This paper presents a trust brokering system that operates in a peer-to-peer manner. The network of trust brokers operate by providing peer reviews in the form of recommendations regarding potential resource targets. One of the distinguishing features of our work is that it separately models the accuracy and honesty concepts. By separately modeling these concepts, our model is able to significantly improve the performance. We apply the trust brokering system to a resource manager to illustrate its utility in a public-resource Grid environment. The simulations performed to evaluate the trust-aware resource matchmaking Dr Azzedin contributed towards the work in this paper while he was at strategies indicate that high levels of 'robustness' can be attained by considering trust while matchmaking and allocating resources.

The Internet is an interconnection of autonomous systems (ASes) that are mostly controlled by Internet service providers (ISPs). ASes use Border Gateway Protocol (BGP) to communicate routing information in the form of reachability paths. However, BGP does not guarantee that the advertised reachability paths will be exactly followed. As a result, traffic belonging to a specific network can be intentionally dropped as it is routed by BGP through a malicious ISP; a behavior we define as Internet access denial. The impact of Internet access denial, especially when performed by higher-tier ISPs, is significant. In this work, network address translation (NAT) is used as a solution to overcome the Internet access denial problem by hiding the traffic identity. The proposed solution is scalable to fit large networks, by using pools of IP addresses across several NAT routers. Moreover, the proposed solution addresses the server reachability problem that is associated with NAT routers by introducing a novel approach. The performance degradation of introducing NAT is significantly small as shown by our experiments' results.