Visible to the public Chaos-based Image Encryption using Integer Wavelet Transform

TitleChaos-based Image Encryption using Integer Wavelet Transform
Publication TypeConference Paper
Year of Publication2020
AuthorsKarmakar, J., Mandal, M. K.
Conference Name2020 7th International Conference on Signal Processing and Integrated Networks (SPIN)
Date Publishedfeb
Keywordsbit scrambling, chaos-based image encryption techniques, chaotic map, cryptanalysis, cryptography, DNA cryptography, DNA-coding based encrypting methods, Encryption, Entropy, feebler resistance, GBS, global bit scrambling, Histograms, Human Behavior, hyperchaotic mapping, image decryption algorithm, image processing, Integer Wavelet Transform, IWT, key-dependent bit scrambling, Predictive Metrics, privacy, pubcrawl, Resiliency, Signal processing algorithms, wavelet transforms
AbstractSince the last few decades, several chaotic encryption techniques are reported by different researchers. Although the cryptanalysis of some techniques shows the feebler resistance of those algorithms against any weaker attackers. However, different hyper-chaotic based and DNA-coding based encrypting methods are introduced recently. Though, these methods are efficient against several attacks, but, increase complexity as well. On account of these drawbacks, we have proposed a novel technique of chaotic encryption of an image using the integer wavelet transform (IWT) and global bit scrambling (GBS). Here, the image is transformed and decomposed by IWT. Thereafter, a chaotic map is used in the encryption algorithm. A key-dependent bit scrambling (GBS) is introduced rather than pixel scrambling to make the encryption stronger. It enhances key dependency along with the increased resistance against intruder attacks. To check the fragility and dependability of the algorithm, a sufficient number of tests are done, which have given reassuring results. Some tests are done to check the similarity between the original and decrypted image to ensure the excellent outcome of the decryption algorithm. The outcomes of the proposed algorithm are compared with some recent works' outputs to demonstrate its eligibility.
DOI10.1109/SPIN48934.2020.9071316
Citation Keykarmakar_chaos-based_2020