Publication Type

Journal Article

Version

acceptedVersion

Publication Date

1-2024

Abstract

There are various security-critical decisions routinely made, on the basis of information provided by peers: routing messages, user reports, sensor data, navigational information, blockchain updates, etc. Jury theorems were proposed in sociology to make decisions based on information from peers, which assume peers may be mistaken with some probability. We focus on attackers in a system, which manifest as peers that strategically report fake information to manipulate decision making. We define the property of robustness: a lower bound probability of deciding correctly, regardless of what information attackers provide. When peers are independently selected, we propose an optimal, robust decision mechanism called Most Probable Realisation (MPR). When peer collusion affects source selection, we prove that generally it is NP-hard to find an optimal decision scheme. We propose multiple heuristic decision schemes that can achieve optimality for some collusion scenarios.

Keywords

Multi-source decision making, Provable decision making, Malicious feedback, Collusion attacks, Trust evaluation

Discipline

Information Security | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

IEEE Transactions on Dependable and Secure Computing

First Page

1

Last Page

16

ISSN

1545-5971

Identifier

10.1109/TDSC.2024.3353295

Publisher

Institute of Electrical and Electronics Engineers

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/TDSC.2024.3353295

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