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Malicious Software Detection System in a Virtual Machine Using Database

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Book cover Convergence and Hybrid Information Technology (ICHIT 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 206))

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Abstract

Malicious behavior detection using emulator or virtual machine is becoming an interesting issue in information security field because it is easy to re-initialize the system and execute codes in independent separate spaces which do not give any bad influence to the system. This paper proposes fast malicious codes detection system by using database of previous malicious codes.

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References

  1. Bacel, R., Mell, P.: Intrusion Detection Systems. NIST (2003)

    Google Scholar 

  2. Endorf, C., Schultz, E., Mellander, J.: Intrusion Detection & Prevention. McGraw-Hill, New York (2004)

    Google Scholar 

  3. Debar, H., Dacie, M., Wepsi, A.: A Revised Taxonomy for Intrusion- Detection Systems. IBM Report (1999)

    Google Scholar 

  4. Weaver, N., Paxson, V., Cunningham, R.: Taxonomy of Computer Worms. In: ACM CCS Workshop on Rapid Malcode (2003)

    Google Scholar 

  5. http://pc.ahnlab.com/bluebelt_pcdic/pcdic_view.do?BBS_SEQ=94759

  6. National Cyber Security Center, Cyber Security, Personal authentication service (2010)

    Google Scholar 

  7. Seo, J.T.: Malicious Code Detection Technique in Virtual Environment (2007)

    Google Scholar 

  8. http://www.virusbtn.com/news/2008/09_02

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© 2011 Springer-Verlag Berlin Heidelberg

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Cheon, Hw., Lee, kW., Lee, SH., Lee, G. (2011). Malicious Software Detection System in a Virtual Machine Using Database. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Communications in Computer and Information Science, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24106-2_28

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  • DOI: https://doi.org/10.1007/978-3-642-24106-2_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24105-5

  • Online ISBN: 978-3-642-24106-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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