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Assessment of diverse image encryption mechanisms under prevalent invasion
- Source :
- Multimedia Tools and Applications. 80:21521-21559
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Image encryption mechanisms provide confidentiality and concealment of information (image) in transmission over the alleyway, susceptible to prevalent invasions. With escalating threats in cybersecurity, various cryptography techniques were projected by researchers. The abundance of such mechanisms requires systematic investigation so that that appropriate method can be selected for diverse applications. An efficient encryption technique must analyze all the parameters in an ideal situation and practical cases. Numerous survey papers available in the literature for experimental comparison are devoid of many probable attacks such as anti occlusion attack, chosen-plaintext attack, jpeg compression, etc. This paper provides a qualified study of almost all basic, traditional, chaotic, lightweight, quantum, fractal, and qubit based encryption methods under the influence of prevalent intimidation (Salt & Pepper, Gaussian, Poisson, Rotation attack, chosen-plaintext attack, known-plaintext attack, and so on). We thus carried out an experimental and theoretical investigation based on statistical, differential, and quantitative analysis. To measure the efficacy, all the mechanisms are implemented in MATLAB-2014 and provide the standard deviation to each metric. It is observed that the Quantum and Qubit based algorithms are superlative in comparison to others under the majority of extensive threats due to their sensitive behaviour towards initial conditions and highly random behaviour.
- Subjects :
- Computer Networks and Communications
business.industry
Salt (cryptography)
Computer science
Chaotic
020207 software engineering
Cryptography
02 engineering and technology
Encryption
Computer security
computer.software_genre
Image (mathematics)
Transmission (telecommunications)
Hardware and Architecture
Qubit
Metric (mathematics)
0202 electrical engineering, electronic engineering, information engineering
Media Technology
business
computer
Software
Subjects
Details
- ISSN :
- 15737721 and 13807501
- Volume :
- 80
- Database :
- OpenAIRE
- Journal :
- Multimedia Tools and Applications
- Accession number :
- edsair.doi...........3ca5ab541306441099843511fd0af76b