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Conference item

How to use information theory to mitigate unfair rating attacks

Abstract:

In rating systems, users want to construct accurate opinions based on ratings. However, the accuracy is bounded by the amount of information transmitted (leaked) by ratings. Rating systems are susceptible to unfair rating attacks. These attacks may decrease the amount of leaked information, by introducing noise. A robust trust system attempts to mitigate the effects of these attacks on the information leakage. Defenders cannot influence the actual ratings: being honest or from attackers. Ther...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-41354-9_2

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Publisher:
Springer Publisher's website
Publication date:
2016-07-02
Acceptance date:
2016-04-08
DOI:
Pubs id:
pubs:891818
URN:
uri:d7d9d6c3-dc47-492f-a149-2cd75bb22246
UUID:
uuid:d7d9d6c3-dc47-492f-a149-2cd75bb22246
Local pid:
pubs:891818

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