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By Sabrina de Di Vimercati
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Additional info for Data and applications security XVII : status and prospects : IFIP TC11/WG11.3 Seventeenth Annual Working Conference on Data and Applications Security, August 4-6, 2003, Estes Park, Colorado, USA
The Model of Integrity of Data Objects In ITDB, when attacks occur, some data objects will be corrupted. We define integrity in a way different from integrity constraints. In our paper, integrity means whether data objects are good or corrupted. An Intuitive Model of Integrity of Data Objects. Intuitively, we can model the integrity of data objects as the following: a data object is associated with an integrity value, which is either of two values: G or B. G means that the data object is good, and B means that the data object is corrupted.
All committed transactions that fit into that segment are stored. Transactions are not allowed to span from one segment to another. Thus the size of each segment is kept under control and running the risk of a segment growing too big is avoided in all these three approaches. Also, each of these methods uses very little computation while segmenting the log. However, a significant amount of computation has to be done to determine the dependences among the segments during damage assessment. In scenarios where attacks are quite frequent, this method may not yield the fastest solution to recover a database.
There are two cases, as discussed below, depending upon the results of the intersection. 1 The result is not a null set The transaction is affected. That particular transaction is stored in the newly formed segment that contains the malicious transaction and other affected transactions. The data items that were written by the transaction are appended to the affected_items list. Thus all malicious and affected transactions will be present in one segment at the end of the damage assessment phase and all affected data items in the affected_items list.
Data and applications security XVII : status and prospects : IFIP TC11/WG11.3 Seventeenth Annual Working Conference on Data and Applications Security, August 4-6, 2003, Estes Park, Colorado, USA by Sabrina de Di Vimercati