Transaction Fusion: A Model for Data Recovery from Information Attacks

作者:Rajesh Yalamanchili, Brajendra Panda

摘要

The escalation of electronic attacks on databases in recent times demands fast and efficient recovery methods. The existing recovery techniques are too time-consuming as they first undo all malicious and affected transactions individually, and then redo all affected transactions, again, individually. In this paper, we propose a method that accelerates the undo and redo phases of the recovery. The method developed involves combining or fusing malicious or affected transactions occurring in groups. These fused transactions are executed during undo and redo phases instead of execution of individual transactions. By fusing relevant transactions into a single transaction, the number of operations such as start, commit, read, and write are minimized. Thus, data items which were required to be accessed multiple times in case of individual transactions are accessed only once in a fused transaction. The amount of log I/O's is reduced. This expedites the recovery procedure in the event of information attacks. A simulation analysis of the proposed model confirmed our claim.

论文关键词:malicious transaction, affected transaction, fused transaction, schedule, damage assessment and recovery

论文评审过程:

论文官网地址:https://doi.org/10.1023/B:JIIS.0000047393.99078.c4