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Efficient HEVC selective stream encryption using chaotic logistic map

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Abstract

At present, the digital video encryption technology has become an interest research topic as a result of very rapid evolution in the application of real-time video over the Internet. So this paper presents a new method for encrypting the selective sensitive data of the latest video coding standard, which called High-Efficiency Video Coding (HEVC). The High-Efficiency Video Coding was founded in 2013 by the Joint Collaborative Team on Video Coding (JCT-VC) from the ISO/IEC Moving Picture Experts Group (MPEG) and ITU-T Video Coding Experts Group (VCEG). The proposed selective encryption HEVC video technique uses the low complexity overhead chaotic logistic map (CLM) to encrypt the sign bits of the Motion Vector Difference (MVD) and the Discrete Cosine Transform (DCT) coefficients in the entropy stage of the process of video encoding. The contribution of the proposed CLM-based HEVC SE is to encrypt the sensitive video bits with the features of low complexity overhead, fast encoding time, keeping the HEVC constant bitrate and format compliant. Also, this paper introduces a comparative study between the proposed CLM-based HEVC SE and the Glenn HEVC SE that uses the Advanced Encryption Standard (AES). Experimental results demonstrate the main feature of the proposed CLM-based HEVC SE, which turned out to save the time of the video encoding with remaining of the near visual distortion of the encrypted video stream by Glenn HEVC SE. This feature is due to the low complexity of the CLM-based encryption employed in the proposed CLM-based HEVC SE scheme instead of using the AES in the Glenn HEVC SE. A course of security investigation experiments is performed for the proposed CLM-based HEVC SE including the main security performance metrics like encryption quality, key space, statistical and sensitivity tests. The achieved test results ensured the superiority of the proposed CLM-based HEVC SE for digital video streams.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    Ahmed I. Sallam & Osama S. Faragallah

  2. Department of Electronic and Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    El-Sayed M. El-Rabaie

  3. Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 888, Al-Hawiya, 21974, Kingdom of Saudi Arabia

    Osama S. Faragallah

Authors
  1. Ahmed I. Sallam
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  2. El-Sayed M. El-Rabaie
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  3. Osama S. Faragallah
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Corresponding author

Correspondence to Osama S. Faragallah.

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Communicated by T. Plagemann.

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Sallam, A.I., El-Rabaie, ES.M. & Faragallah, O.S. Efficient HEVC selective stream encryption using chaotic logistic map. Multimedia Systems 24, 419–437 (2018). https://doi.org/10.1007/s00530-017-0568-3

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