Provably secure decisions based on potentially malicious information

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, whi...

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Main Authors: WANG, Dongxia, MULLER, Tim, SUN, Jun
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Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/8650
https://ink.library.smu.edu.sg/context/sis_research/article/9653/viewcontent/CSF2020_2.pdf
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spelling sg-smu-ink.sis_research-96532024-02-22T03:08:53Z Provably secure decisions based on potentially malicious information WANG, Dongxia MULLER, Tim SUN, Jun 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. 2024-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8650 info:doi/10.1109/TDSC.2024.3353295 https://ink.library.smu.edu.sg/context/sis_research/article/9653/viewcontent/CSF2020_2.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Multi-source decision making Provable decision making Malicious feedback Collusion attacks Trust evaluation Information Security Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Multi-source decision making
Provable decision making
Malicious feedback
Collusion attacks
Trust evaluation
Information Security
Software Engineering
spellingShingle Multi-source decision making
Provable decision making
Malicious feedback
Collusion attacks
Trust evaluation
Information Security
Software Engineering
WANG, Dongxia
MULLER, Tim
SUN, Jun
Provably secure decisions based on potentially malicious information
description 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.
format text
author WANG, Dongxia
MULLER, Tim
SUN, Jun
author_facet WANG, Dongxia
MULLER, Tim
SUN, Jun
author_sort WANG, Dongxia
title Provably secure decisions based on potentially malicious information
title_short Provably secure decisions based on potentially malicious information
title_full Provably secure decisions based on potentially malicious information
title_fullStr Provably secure decisions based on potentially malicious information
title_full_unstemmed Provably secure decisions based on potentially malicious information
title_sort provably secure decisions based on potentially malicious information
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/sis_research/8650
https://ink.library.smu.edu.sg/context/sis_research/article/9653/viewcontent/CSF2020_2.pdf
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