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International Conference on Ubiquitous Information Technologies and Applications

International Conference on Computer Science and its Applications

CUTE 2018, CSA 2018: Advances in Computer Science and Ubiquitous Computing pp 285–290Cite as

Operating System Fingerprint Recognition Using ICMP

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 536))

Abstract

The operating system fingerprint is a factor that can help determine a target operating system and version through network scanning. There are two methods of discrimination: Internet Control Message (ICMP) and Transmission Control Protocol (TCP). In this study, we analyzed whether it is possible to categorize the operating system version (e.g., Windows 7, 8.1, 10) in a manner that the operating system can be determined using ICMP. Using ICMP, we could successfully classify the operating systems into Windows and Linux.

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References

  1. Humer, S., Murphy, A.: OS fingerprinting techniques and tools, cryptography and network security. Keene State College, CS-455 (2013)

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  2. Bellovin, S.M., Leech, M., Taylor, T: ICMP traceback messages (2003)

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  3. Lamping, U., Sharpe, R., Warnicke, E.: Wireshark User’s Guide for Wireshark 2.1 (2014)

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Acknowledgments

This research was supported by the Ministry of Science and ICT (MSIT), Korea, under the Information Technology Research Center (ITRC) support program (IITP-2018-2016-0-00304) supervised by the Institute for Information & Communications Technology Promotion (IITP).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Chungnam National University, Daejeon, South Korea

    Jinho Song, Yonggun Kim & Yoojae Won

Authors
  1. Jinho Song
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  2. Yonggun Kim
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  3. Yoojae Won
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Corresponding author

Correspondence to Yoojae Won .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. Park

  2. Department of Computer Software Engineering, Soon Chun Hyang University, Asan, Korea (Republic of)

    Doo-Soon Park

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Korea (Republic of)

    Young-Sik Jeong

  4. Department of Computer Science, Georgia State University, Atlanta, GA, USA

    Yi Pan

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© 2020 Springer Nature Singapore Pte Ltd.

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Cite this paper

Song, J., Kim, Y., Won, Y. (2020). Operating System Fingerprint Recognition Using ICMP. In: Park, J., Park, DS., Jeong, YS., Pan, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2018 2018. Lecture Notes in Electrical Engineering, vol 536. Springer, Singapore. https://doi.org/10.1007/978-981-13-9341-9_49

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  • DOI: https://doi.org/10.1007/978-981-13-9341-9_49

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9340-2

  • Online ISBN: 978-981-13-9341-9

  • eBook Packages: EngineeringEngineering (R0)

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