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Handbook of Big Data and IoT Security pp 211–223Cite as

Internet of Things Camera Identification Algorithm Based on Sensor Pattern Noise Using Color Filter Array and Wavelet Transform

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Abstract

The Internet of Things (IoT) is cutting-edge technology of recent decade and has influenced all aspects of our modern life. Its significance and wide-range applications necessitate imposing security and forensics techniques on IoT to obtain more reliability. Digital cameras are the noteworthy part of IoT that play a vital role in the variety of usages and this entails proposing forensic solutions to protect IoT and mitigate misapplication.

Identifying source camera of an image is an imperative subject in digital forensics. Noise characteristics of image, extraction of Sensor Pattern Noise (SPN) and its correlation with Photo Response Non-Uniformity (PRNU) has been employed in the majority of previously proposed methods. In this paper, a feature extraction method based on PRNU is proposed which provides features for classification with Support Vector Machine (SVM). The proposed method endeavours to separate more powerful signals which is linked to camera sensor pattern noise by identifying color filter array pattern. To overcome the computational complexity, the proposed method is boosted by utilizing wavelet transform plus reducing dimensions of the image by selecting the most important components of noise. Our experiments demonstrate that the proposed method outperforms in terms of accuracy and runtime.

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Author information

Authors and Affiliations

  1. Cyber Science Lab, School of Computer Science, University of Guelph, Guelph, ON, Canada

    Kimia Bolouri, Amin Azmoodeh & Ali Dehghantanha

  2. Department of Computer Science & Engineering, Shiraz University, Shiraz, Iran

    Amin Azmoodeh

  3. Iranian Research Organization for Science and Technology (IROST), Tehran, Iran

    Mohammad Firouzmand

Authors
  1. Kimia Bolouri
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  2. Amin Azmoodeh
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  3. Ali Dehghantanha
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  4. Mohammad Firouzmand
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Corresponding author

Correspondence to Ali Dehghantanha .

Editor information

Editors and Affiliations

  1. Cyber Science Lab, School of Computer Science, University of Guelph, Guelph, ON, Canada

    Ali Dehghantanha

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

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Bolouri, K., Azmoodeh, A., Dehghantanha, A., Firouzmand, M. (2019). Internet of Things Camera Identification Algorithm Based on Sensor Pattern Noise Using Color Filter Array and Wavelet Transform. In: Dehghantanha, A., Choo, KK. (eds) Handbook of Big Data and IoT Security. Springer, Cham. https://doi.org/10.1007/978-3-030-10543-3_9

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  • DOI: https://doi.org/10.1007/978-3-030-10543-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-10542-6

  • Online ISBN: 978-3-030-10543-3

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