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Cyber Forensics: Managing, Modeling, and Mining Data for Investigation

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Book cover Managing Cyber Threats

Part of the book series: Massive Computing ((MACO,volume 5))

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Abstract

This chapter describes a collaborative project between the San Diego Supercomputer Center (SDSC) and the Automated Regional Justice Information System (ARJIS) entitled P3ELE (Public-Private-Partnership Enabling Law Enforcement). The project is focused on developing a model research infrastructure for the management, analysis and visualization of public and private multidimensional data. This includes addressing the technical and analytical models, methods, tools and techniques to effectively integrate and correlate law enforcement information with public, cyber-based information. This framework will enable researchers to study the impact of this expanded dimensional information on the efficient remediation and proactive capabilities of law enforcement, and ultimately, will enhance the operational capabilities of justice professionals in our digital society.

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References

  1. Computer Science and Telecommunications Board, Cybcr-Security and the Insider Threat to Classified Information, 2000.

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  2. J. Lasser, Irresponsible Disclosure, Security Focus, 2002.

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  3. J. Lamont, KM Aids and Abets Law Enforcement, KM World, March 2002.

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  4. Cisco Systems, Network Based Transformation for Justice Systems, 2002.

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© 2005 Springer Science+Business Media, Inc.

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Kenneally, E.E., Fountain, T. (2005). Cyber Forensics: Managing, Modeling, and Mining Data for Investigation. In: Kumar, V., Srivastava, J., Lazarevic, A. (eds) Managing Cyber Threats. Massive Computing, vol 5. Springer, Boston, MA. https://doi.org/10.1007/0-387-24230-9_12

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  • DOI: https://doi.org/10.1007/0-387-24230-9_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-24226-2

  • Online ISBN: 978-0-387-24230-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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