Automated network forensics

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback
Take a look at the new version of this page: [ beta version ]. Tell us what you think.

Automated network forensics

Full text

Pdf (225 KB)

Source

Genetic And Evolutionary Computation Conference archive
Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation table of contents

Atlanta, GA, USA

WORKSHOP SESSION: Defense applications of computational intelligence (DAC) table of contents

Pages: 1929-1932

Year of Publication: 2008

ISBN:978-1-60558-131-6

Author

Laurence D. Merkle

Rose-Hulman Institute of Technology, Terre Haute, IN, USA

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 29, Downloads (12 Months): 162, Citation Count: 0

Additional Information:

abstract references index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/1388969.1389001 What is a DOI?

ABSTRACT

The purpose of this research is to investigate the automated analysis of network based evidence in response to cyberspace attacks. The automated analysis techniques to be developed and studied will combine the efficiency of both existing and novel local search techniques with the scalability and robustness of evolutionary computation and other computational intelligence techniques.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Carrier, B. (2003). Defining Digital Forensic Examination and Analysis Tools Using Abstraction Layters. International Journal of Digital Evidence , 1 (4).
	2	Digital Forensic Research Workshop. (2001). Research Road Map. Utica, NY.
	3	Keith J. Jones , Richard Bejtlich , Curtis W. Rose, Real Digital Forensics: Computer Security and Incident Response, Addison-Wesley Professional, 2005
	4	Mocas, S. (2003). Building Theoretical Underpinnings for Digital Forensics. Digital Forensice Workshop. Cleveland, OH.
	5	Mukkamala, S., & Sung, A. H. (2003). Identifying Significant Features for Netowrk Forensic Analysis Using Artificial Intelligent Techniques. International Journal of Digital Evidence , 1 (4).
	6	Noblett, M., Pollitt, M., & Presley, L. (2000). Recovering and Examining Computer Forensic Evidence. Forensic Science Communications, 2 (4).
	7	Pollitt, M. (1995). Computer Forensics: an Approach to Evidence in Cyberspace. Proceedings of the National Information Systems Security Conference, (pp. 487--491). Baltimore, MD.
	8	Wei Wang , Thomas E. Daniels, Building Evidence Graphs for Network Forensics Analysis, Proceedings of the 21st Annual Computer Security Applications Conference, p.254-266, December 05-09, 2005 [doi>10.1109/CSAC.2005.14]