Skip to main content

Detecting New and Unknown Malwares Using Honeynet

  • Chapter
  • 766 Accesses

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 80))

Abstract

The importance of network security is rapidly increasing as more and more business is conducted via these systems. The proposed honeynet system can be used to detect bots or malware based on the evaluation of events occurring within a computer network. A honeypot is a trap set to detect, deflect or in some manner counteract attempts at unauthorized access to information systems. A honeynet (a network consisting of 2 or more honeypots) is used for surveillance of larger or more diverse networks for which one honeypot may not be sufficient. Honeynets are fast emerging as an indispensible forensic tool for the analysis of malicious network traffic. Honeypots can be considered to be traps for hackers and intruders and are generally deployed complimentary to Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) in a network. Proposed system would be capable of providing cures for new fatal viruses which have not yet been discovered by security firms.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Piotrowski, M.: The protection of computer networks through technology honeypot (2007) (in Polish)

    Google Scholar 

  2. Rush, M., Orebaugh, A., Clark, G., Pinkard, B., Babbin, J.: Intrusion Prevention and Active Response - Deploying Network and Host IPS (2005)

    Google Scholar 

  3. Erickson, J.: Hacking: The Art of Exploitation (2008)

    Google Scholar 

  4. Holz, T., Dornseif M.: Hands on Honeypot Technology (Black Hat 2005), blackhat.com

  5. Auerbach, O.: AVIRA, Evolution from a Honeypot to a distributed Honeynet

    Google Scholar 

  6. Ahmadi, M., Wong, S.: A Cache Architecture for Counting Bloom Filters. In: 15th International Conference on Networks ICON 2007 (2007)

    Google Scholar 

  7. Karamcheti, V.: Detecting Malicious Network Traffic, Using Inverse Distributions of Packet Contents. In: SIGCOMM 2005 Workshops, Philadelphia, PA, USA, August 22-26 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Szczepanik, M., Jóźwiak, I. (2010). Detecting New and Unknown Malwares Using Honeynet. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds) Advances in Multimedia and Network Information System Technologies. Advances in Intelligent and Soft Computing, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14989-4_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14989-4_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14988-7

  • Online ISBN: 978-3-642-14989-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics