Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
Communications of the ACM
Communications of the ACM
Rewriting Histories: Recovering from Malicious Transactions
Distributed and Parallel Databases - Security of data and transaction processing
Data dependency based logging for defensive information warfare
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
Database System Concepts
Fundamentals of Database Systems
Fundamentals of Database Systems
Reconstructing the Database after Electronic Attacks
Proceedings of the IFIP TC11 WG 11.3 Twelfth International Working Conference on Database Security XII: Status and Prospects
Efficient damage assessment and repair in resilient distributed database systems
Das'01 Proceedings of the fifteenth annual working conference on Database and application security
A Sense of Self for Unix Processes
SP '96 Proceedings of the 1996 IEEE Symposium on Security and Privacy
Surviving information warfare attacks on databases
SP '97 Proceedings of the 1997 IEEE Symposium on Security and Privacy
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A database log is the primary resource for damage assessment and recovery after an electronic attack. The log is a sequential file stored in the secondary storage and it can grow to humongous proportions in course of time. To make the process of damage assessment and recovery more efficient, segmenting the log based on different criteria has been proposed before. But the trade off is that, either segmenting the log involves a lot of computation or damage assessment is a complicated process. In this research we propose to strike a balance through hybrid log segmentation. Our method will reduce the time taken to perform damage assessment while still segmenting the log fast enough so that no intricate computation is necessary. We build our model from a log that was previously segmented based on number of transactions, a time window for transactions to commit or space occupied by committed transactions. While performing damage assessment, we re-segment the log based on transaction dependency. Thus during repeated damage assessment procedures, we create new segments with dependent transactions in them so that the process of damage assessment becomes faster when there are repeated attacks on the system. We have discussed various cases that are applicable and also presented algorithms for each of the cases discussed.