Journal
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Volume 36, Issue 3, Pages 1182-1198Publisher
WILEY
DOI: 10.1002/int.22337
Keywords
blacklist; ImpSuic strategy; linear programming; maximum utility; mixing coins
Categories
Funding
- National Natural Science Foundation of China [62072273, 61962009, 61832012, 61771231, 6150028, 61672321, 61771289]
- Major Scientific and Technological Special Project of Guizhou Province [20183001]
- Foundation of Guizhou Provincial Key Laboratory of Public Big Data [2019BDKFJJ009]
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The mixing coins strategy can achieve user anonymity and protect their privacy. However, the incomplete blacklist information may be exploited by illegal criminals. The ImpSuic strategy proposes a new quality updating rule to address these issues and preserve users' privacy.
vMixing coins strategy can realize the anonymity of user information, thereby protecting the user's privacy. Ideally, the blacklist is public information and all bad coins are recorded in it. However, due to the failure of some bad coins to be registered in the blacklist in time, users can only obtain part of the blacklist information, which allows illegal criminals to take advantage of it. How to prevent illegal activities under the partial information blacklist and how to design coins' quality updating rule rationally have become open issues in mixing coins. The updating rule of coins' quality in mixing is addressed since illegal criminals may carry out illegal activities, for example, money laundering. ImpSuic, an improved suicide strategy, is proposed as a new quality updating rule. The intuition is: all coins of the one who has the highest bad coins according to the blacklist, are recorded as bad coins. On the other hand, the coins' quality of others remain unchanged. Besides, linear programming is introduced into ImpSuic strategy to predict the maximum utility after mixing coins, which facilitates users to make reasonable decisions before mixing coins. Simulation results show that the quality updating rule in ImpSuic strategy can preserve users' privacy and antimoney launder.
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