By P. Neira, R. M. Gasca, L. Lefèvre (auth.), Sushil Jajodia, Javier Lopez (eds.)
This publication constitutes the refereed complaints of the thirteenth ecu Symposium on examine in computing device defense, ESORICS 2008, held in Torremolinos, Spain, in October 2008.
The 37 revised complete papers provided have been rigorously reviewed and chosen from 168 submissions. The papers are geared up in topical sections on Intrusion Detection and community Vulnerability research; community defense; clever playing cards and identification administration; info and functions safety; privateness improving applied sciences; Anonymity and RFID privateness; entry keep an eye on and belief Negotiation; info stream and Non-transferability; safe digital balloting and net purposes protection; VoIP defense, Malware, and DRM; Formal types and Cryptographic Protocols; Language-based and Security.
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Additional info for Computer Security - ESORICS 2008: 13th European Symposium on Research in Computer Security, Málaga, Spain, October 6-8, 2008. Proceedings
ACM Press, New York (2004) 8. : Multiple coordinated views for network attack graphs. In: IEEE Workshop on Visualization for Computer Security (VizSEC 2005) (2005) 9. : An interactive attack graph cascade and reachability display. In: IEEE Workshop on Visualization for Computer Security (VizSEC 2007) (2007) 10. : The PageRank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project (1998) 11. : Matrix analysis and applied linear algebra. Society for Industrial and Applied Mathematics.
Only a true and successful attack can cause a true threat to a protected target. Attacks with diﬀerent severities can result in diﬀerent threats and damages to a protected target. In addition, RI represents the objective progress of an intrusion scenario. Deﬁnition 2. The Risk Distribution is the spectrum of the high risk,the medium risk and the low risk that a target can endure. P. Mu et al. Fig. 2. Online risk assessment model The Risk Distribution of a target is determined by the value or importance of the target.
The details of the module are discussed in . The alert correlation module can aggregate related alerts together and form alert threads that represent corresponding intrusion scenarios, while providing risk assessment factors, including the alert amounts of alert threads and alert type numbers of alert threads. It can reduce random, uncorrelated false-positive alerts and duplicate alerts. The algorithm of the module is introduced in . P. Mu et al. Fig. 1. The architecture of IDAM & IRS the real-time risk caused by each intrusion scenario.