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Information Security Theory and Practices. Smart Devices, Convergence and Next Generation Networks: Second IFIP WG 11.2 International Workshop, WISTP 2008, Seville, Spain, May 13-16, 2008. Proceedings
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Additional resources 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
As it is evident in the above method, there is the risk of having to manage a segment that is too large because various segments might get merged to form one big segment. Eventually this segment might end up being as big as the log itself. In order to avoid this scenario, a new method to segment the log in a hybrid manner is proposed. In this approach, pointers are provided to link the information flow from one segment to another instead of merging the segments together. Thus after subsequent damage assessment on the database, the log can pictorially be represented as shown in Figure 3.
Wolak. Risk factors for and impact of online sexual solicitation of youth. Journal of the American Medical Association, 285(23):3011-3014, June 20, 2001.  A. Moenssens, editor. Amendments to the Federal Rules of Evidence. com, 2003.  J. Nazario. Passive system fingerprinting using network client applications. Crimelabs Security Group. net, January 19, 2001.  Nessus. Documentation. org.  J. Novotny, et al. Evidence acquisition tools for cyber sex crimes investigations, Proceedings of the SPIE Conference on Sensors and C31 Technologies for Homeland Defense and Law Enforcement, 4708:53-60, 2002.
Log segmentation techniques using transaction dependency and data dependency were presented in  and  respectively. These methods segment the log file in such a way that all dependent transactions (or dependent data-items in the case of data dependency segmentation) are stored in one segment. By doing so, it can be made sure that we do not have to scan a large portion of the log when an attack is detected. But a major drawback in these approaches is that they use valuable system resources to perform intricate computation to determine dependences among transactions or data-items while the execution of the transactions is still on.