On Efficiency of Scrambled Image Forensics Service Using Support Vector Machine

  • Sahibzada Muhammad Shuja
  • Raja Farhat Makhdoom Khan
  • Munam Ali Shah
  • Hasan Ali KhattakEmail author
  • Assad Abbass
  • Samee U. Khan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11517)


Images can be a very good evidence during investigation of a crime scene. At the same time they can also contain very personal information which should not be exposed without the consent of the involved people. In this paper, We have presented here a practical approach to protect privacy of under investigation images with the use of Arnold’s Transform (AT) scrambling and Support Vector Machine, We also provide a new approach towards the whole forensics service provided by the designated agencies with the help of implementation of our approach. We enhanced the security of AT and provided privacy preserving mechanism to ensure protection of privacy. In literature only policies are defined to protect the privacy and lack of a solid approach which we have tried to resolve with a proof of concept implementation. In short, we have provided a full image forensics framework for illegal image detection while preserving the privacy.


Digital forensics Privacy ORB Arnold’s Transform SVM Guns trafficking Image forensics 



The work of Samee U. Khan is based upon work supported by (while serving at) the National Science Foundation. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sahibzada Muhammad Shuja
    • 1
  • Raja Farhat Makhdoom Khan
    • 1
  • Munam Ali Shah
    • 1
  • Hasan Ali Khattak
    • 1
    Email author
  • Assad Abbass
    • 1
  • Samee U. Khan
    • 2
  1. 1.COMSATS University IslamabadIslamabadPakistan
  2. 2.North Dakota State UniversityFargoUSA

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