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Operating System Fingerprinting

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Digital Fingerprinting

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Abstract

Operating system fingerprinting, helps IT administrators to perform vulnerability assessment and internal auditing in securing their networked systems. Meanwhile, it is, oftentimes, the first step to launch security attacks to a targeted system or service online, thereby enables an adversary to tailor attacks by exploiting known vulnerabilities of the target system(s). In this chapter, we focus on major approaches in fingerprinting techniques at operating system level. We examine the instantiations of the OS fingerprinting concepts, and discuss the details of their design and implementation to demonstrate the complexity and limitations. In particular, we present a case study on OS identification against smartphones that use encrypted traffic. We consider the security of these schemes in term of effectiveness, and raise challenges that future OS fingerprinting research must address to be useful for practical digital forensic investigations.

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Notes

  1. 1.

    In a different scenario, the data-collecting machine may be monitoring the traffic on the wired portion of the traffic path. The scenario chosen for our experiments is representative of a drive-by or walk-by attack.

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Acknowledgments

This work draws in part from [21, 24, 33]. We would like to thank our co-authors of those works, including Riccardo Bettati, Yong Guan, Jonathan Gurary, Kenneth Johnson, Jeff Kramer, Rudy Libertini, Nicholas Ruffing, and Ye Zhu, as well as reviewers of those original papers who provided us with valuable feedback. This work is supported in part by the U.S. National Science Foundation under grants CNS-1338105, CNS-1343141 and CNS-1527579.

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Authors and Affiliations

  1. Cleveland State University, Cleveland, Ohio, 44115, USA

    Jonathan Gurary & Ye Zhu

  2. Texas A&M University, College Station, Texas, 77840, USA

    Riccardo Bettati

  3. Iowa State University, Ames, Iowa, 50011, USA

    Yong Guan

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  1. Jonathan Gurary
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  2. Ye Zhu
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Corresponding author

Correspondence to Yong Guan .

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Editors and Affiliations

  1. Computing and Information Science Division, Army Research Office, Durham, North Carolina, USA

    Cliff Wang

  2. Department of Electrical and Computer Engineering, Virginia Polytechnic Institute, Arlington, Virginia, USA

    Ryan M. Gerdes

  3. Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa, USA

    Yong Guan

  4. Computer Science Department, University of Utah, Salt Lake City, Utah, USA

    Sneha Kumar Kasera

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Gurary, J., Zhu, Y., Bettati, R., Guan, Y. (2016). Operating System Fingerprinting. In: Wang, C., Gerdes, R., Guan, Y., Kasera, S. (eds) Digital Fingerprinting. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6601-1_7

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  • DOI: https://doi.org/10.1007/978-1-4939-6601-1_7

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