Information theoretic framework of trust modeling and evaluation for ad hoc networks

By Yan Lindsay Sun, Wei Yu, Zhu Han, K. Liu. IEEE Journal on Selected Areas in Communications, 2006

712 citations recorded by the source corpus.

The performance of ad hoc networks depends on cooperation and trust among distributed nodes. To enhance security in ad hoc networks, it is important to evaluate trustworthiness of other nodes without centralized authorities. In this paper, we present an information theoretic framework to quantitatively measure trust and model trust propagation in ad hoc networks. In the proposed framework, trust is a measure of uncertainty with its value represented by entropy. We develop four Axioms that address the basic understanding of trust and the rules for trust propagation. Based on these axioms, we present two trust models: entropy-based model and probability-based model, which satisfy all the axioms. Techniques of trust establishment and trust update are presented to obtain trust values from observation. The proposed trust evaluation method and trust models are employed in ad hoc networks for secure ad hoc routing and malicious node detection. A distributed scheme is designed to acquire, maintain, and update trust records associated with the behaviors of nodes' forwarding packets and the behaviors of making recommendations about other nodes. Simulations show that the proposed trust evaluation system can significantly improve the network throughput as well as effectively detect malicious behaviors in ad hoc networks.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/ab1e248b0145dc86c0a1f6ca2e9cab6937f8bcea

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

Citations in the corpus

A Survey on Trust Modeling (2015, background): “Certainty is a determinant to discern whether trust is needed in a given context [Jøsang 2001; Wang and Singh 2010; Sun et al. 2006].”
Statistical trust establishment in wireless sensor networks (2007, methodology): “In this case we relied on nodes that can compare the result of multi-path propagation schemes for data aggregation.”
Group-Based Trust Management Scheme for Clustered Wireless Sensor Networks (2009, background): “Ç”
On Data-Centric Trust Establishment in Ephemeral Ad Hoc Networks (2008, background): “All trust establishment logics proposed to date have been based on entities (e.g., “principals” such as nodes) making statements on data [4], [7], [9], [12], [16], [17], [24], [25].”
Trust Computations and Trust Dynamics in Mobile Adhoc Networks: A Survey (2012, methodology): “An information theoretic framework to quantitatively measure the trust for distributed adhoc networks is given in [73] and [74].”