Rewriting Histories: Recovering from Malicious Transactions
Distributed and Parallel Databases - Security of data and transaction processing
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In this paper we proposed a data mining approach for detecting malicious transactions in a Database System. Our approach concentrates on mining data dependencies among data items in the database. A data dependency miner is designed for mining data correlations from the database log. The transactions not compliant to the data dependencies mined are identified as malicious transactions. The experiment illustrates that the proposed method works effectively for detecting malicious transactions provided certain data dependencies exist in the database.