<p>Visual data security is an important factor in the modern world, where image encryption becomes very important. Many approaches have been proposed to disguise data and protect images from being accessed by people who are unauthorized to do so. In the following work, the chaos based symmetric key encryption to enhance image security has been proposed. This approach entails the extraction of the important binary bit-planes from the original grey-scale image results; in this case by encrypting those planes utilizing a keying where a logistic map-based pseudo random binary sequence generator was used. Further on, the cipher-image is then derived from the encrypted the significant bit-planes together with the remaining unencrypted bit-planes. The proposed encryption method demonstrates enhanced image security as evaluated through statistical tests, highlighting its robustness against various decryption attempts. The proposed method achieves the entropy and Number of Pixels Change Rate (NPCR) values of approximately 8 and 100% respectively.</p>

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Robust Partial Image Security Through Chaotic Map and Non-adaptive Techniques

  • K. V. Sudheesh,
  • S. Benaka Santhosha,
  • Kiran Puttegowda

摘要

Visual data security is an important factor in the modern world, where image encryption becomes very important. Many approaches have been proposed to disguise data and protect images from being accessed by people who are unauthorized to do so. In the following work, the chaos based symmetric key encryption to enhance image security has been proposed. This approach entails the extraction of the important binary bit-planes from the original grey-scale image results; in this case by encrypting those planes utilizing a keying where a logistic map-based pseudo random binary sequence generator was used. Further on, the cipher-image is then derived from the encrypted the significant bit-planes together with the remaining unencrypted bit-planes. The proposed encryption method demonstrates enhanced image security as evaluated through statistical tests, highlighting its robustness against various decryption attempts. The proposed method achieves the entropy and Number of Pixels Change Rate (NPCR) values of approximately 8 and 100% respectively.