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This booklet constitutes the refereed complaints of the overseas Workshop on Randomization and Approximation options in desktop technology, RANDOM'97, held as a satelite assembly of ICALP'97, in Bologna, Italy, in July 1997. the amount offers 14 completely revised complete papers chosen from 37 submissions; additionally integrated are 4 invited contributions by means of top researchers.
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All writes 591 go to the redolog, reads are done from the redolog if previously written, or from the flat file otherwise. After a run, the redolog will still be present, so the changes are still visible in the next time, and the redolog can be committed (merged) to the flat image with a tool bxcommit. The redolog can be roll backed (discarded) by simply deleting the redolog file, in this case, all changes to the disks will be discarded and the disk state will be in the previous state (Lawton and Denney, 2003).
1. Introduction Making decisions concerning investments in information security requires calculation of net benefits expected to result from the investment. Gordon and Loeb (2002) suggest that expected loss provides a useful metric for evaluating whether an investment in information security is warranted. They propose that since expected loss is the product of the loss v that would be realized following a successful attack on the systems comprising our information infrastructure and the probability that such a loss will occur, one way of accomplishing such calculations is to consider for an investment i the probabilities p0 and pi of the losses occurring with and without the investment, respectively.
Values represent days. 5 50 56 À100 583 computers & security 25 (2006) 579–588 The estimator for the failure function that corresponds to Eq. (20) is hKM ðtÞ z À Á À Á HKM tj À HKM tjÀ1 dj Á Á; for tj À z À nj tjþ1 À tj tjþ1 À tj t < tjþ1 : (22) (24) It is natural to estimate the hazard function by the ratio of the number of systems that fail at a given time divided by the number at risk at that time. More formally, because HðtÞ ¼ Àlog SðtÞ, we have This equation can be applied to all intervals except the interval that begins at t , since that interval is infinite in length.
Computers & Security (November)