Aggregating Trust Using Triangular Norms in the KeyNote Trust Management System

Foley, Simon N.; Adams, Wayne Mac; O’Sullivan, Barry

doi:10.1007/978-3-642-22444-7_7

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…Trust evaluation/analysis [8][9][10][11][12][13] and trust aggregation [4,6,8,11,13,14] have been studied in a general setting, as well as for MANETs specifically [14,16,17,18]. Relevant work can be partitioned into centralized approaches, that require every node to share trust information with every other node, and distributed aggregation approaches such as that described in [17].…”

Section: Related Workmentioning

confidence: 99%

Reliability estimation in mobile ad hoc networks

Chadha¹,

Poylisher²,

Serban³

2013

Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013)

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We describe a system for estimating the reliability of nodes in a mobile ad hoc network. The goal of the system is to detect insider attacks on the control plane of wireless protocols at the link and network layers, and to generate and propagate corresponding reliability estimates for nodes across the network. Our contributions are two-fold: first, we implement a cross-layer invariant-based technique for attack detection, where rules about correct combined behavior of protocols are specified based on data collected from multiple layers of the protocol stack. Next, we use the results of our attack detection techniques to compute reliability estimates for network nodes, where a reliability estimate represents the estimate of a node N for another node M. The form of our reliability estimate for a node is expressed as (t,c), where t indicates the trust for that node, and c indicates the confidence in this trust value. Reliability estimates are propagated across the network in a manner that is resilient to malicious nodes that propagate false reliability estimates, and minimizes network overheads. Our simulation results show that the above techniques result in highly accurate reliability estimates even in the presence of multiple malicious nodes in the network.

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Section: Related Workmentioning

confidence: 99%

Reliability estimation in mobile ad hoc networks

Chadha¹,

Poylisher²,

Serban³

2013

Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013)

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“…In e.g. [16] algorithms are proposed to quantify the trust relationship between two entities in a network, using transitivity and reachability. For instance, in [15] the authors use an adapted power of the adjacency matrix to evaluate the trust using all existing (finite) trust paths between entities.…”

Section: Monoids Of Trustmentioning

confidence: 99%

Private Multi-party Matrix Multiplication and Trust Computations

Dumas

Lafourcade

Orfila

et al. 2016

Proceedings of the 13th International Joint Conference on E-Business and Telecommunications

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International audienceThis paper deals with distributed matrix multiplication. Each player owns only one row of both matrices and wishes to learn about one distinct row of the product matrix, without revealing its input to the other players. We first improve on a weighted average protocol, in order to securely compute a dot-product with a quadratic volume of communications and linear number of rounds. We also propose a protocol with five communication rounds, using a Paillier-like underlying homomorphic public key cryptosystem, which is secure in the semi-honest model or secure with high probability in the malicious adversary model. Using ProVerif, a cryptographic protocol verification tool, we are able to check the security of the protocol and provide a countermeasure for each attack found by the tool. We also give a randomization method to avoid collusion attacks. As an application, we show that this protocol enables a distributed and secure evaluation of trust relationships in a network, for a large class of trust evaluation schemes

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“…This check returns a binary answer and we believe that the model could be extended to support forms of quantitative trust, by incorporating KeyNote-style [12] compliance values or weights [11,19] in the delegation statements. We also assume that trust is monotonic, for example, it is safe to rely on a Semantic Threat Graph delegation chain provided by a vendor since the model does not permit other principals to make conflicting assertions about concepts that originated from the vendor's namespace.…”

Section: Related Researchmentioning

confidence: 99%

Decentralized Semantic Threat Graphs

Foley

Fitzgerald

2012

Data and Applications Security and Privacy XXVI

Self Cite

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Abstract. Threat knowledge-bases such as those maintained by MITRE and NIST provide a basis with which to mitigate known threats to an enterprise. These centralised knowledge-bases assume a global and uniform level of trust for all threat and countermeasure knowledge. However, in practice these knowledge-bases are composed of threats and countermeasures that originate from a number of threat providers, for example Bugtraq. As a consequence, threat knowledge consumers may only wish to trust knowledge about threats and countermeasures that have been provided by a particular provider or set of providers. In this paper, a trust management approach is taken with respect to threat knowledge-bases. This provides a basis with which to decentralize and delegate trust for knowledge about threats and their mitigation to one or more providers. Threat knowledge-bases are encoded as Semantic Threat Graphs. An ontology-based delegation scheme is proposed to manage trust across a model of distributed Semantic Threat Graph knowledge-bases.

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Aggregating Trust Using Triangular Norms in the KeyNote Trust Management System

Cited by 7 publications

References 20 publications

Reliability estimation in mobile ad hoc networks

Reliability estimation in mobile ad hoc networks

Private Multi-party Matrix Multiplication and Trust Computations

Decentralized Semantic Threat Graphs

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