New PDF release: ACM transactions on computer systems (February)

By D. R. Kuhn on corporate internet, B. Bertino on authorization constraints, V. Bhamidipati and others M. Nyanchama and S. Osborn on the role graph model, Ravi Sandhu

Significant reports via best foreign desktop scientists. it is a precise factor on Role-Based entry keep an eye on.

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Additional info for ACM transactions on computer systems (February)

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An effort prover who must expend effort E · l is given as challenge a nonce n (so that the prover cannot reuse older effort proofs) and the values of E and l . In response, the prover must perform a series of pseudorandom walks in the table T . For each walk, the prover starts from a different position s of his choosing and computes a one-way value A based on n, s and the encountered elements of table T . The walk is cryptographically dependent on n and s; it is constructed so that the number of encountered elements is l , and fetching each encountered element causes an L1 cache miss.

An administrator might find log entries that show unexpected output from vulnerable applications, deleted or forgotten attack toolkits on disk, or file modification dates which hint at the sequence of events during the intrusion. Many tools exist that make this job easier. For example, Snort can log network traffic; Ethereal can present application-level views of that network traffic; and The Coroner’s Toolkit can recover deleted files [Farmer 2001] or summarize the times at which files were last modified, accessed, or created [Farmer 2000] (similar tools are Guidance Software’s EnCase, Access Data’s Forensic Toolkit, Internal Revenue Services’ ILook, and ASR Data’s SMART).

Probability that the adversary plays the game but neither wins nor loses. Each curve corresponds to a different level of friend bias. Fig. 11. Time from start of nuisance attack to first alarm at any peer ( y axis) versus the number of peers subverted (x axis), for varying adversary resource sizes. Some attacks with few subverted peers do not cause alarms on our timescale. illustrates that the stealth modification adversary is playing a high-risk, highreward game: to have any chances of success (no more than 36% at best), he has to suffer very high levels of risk.

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ACM transactions on computer systems (February) by D. R. Kuhn on corporate internet, B. Bertino on authorization constraints, V. Bhamidipati and others M. Nyanchama and S. Osborn on the role graph model, Ravi Sandhu


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