Abstract
In the modern age, most data transfers involve a variety of images. From social media to defense applications, the transfer of images plays a vital role. The characteristics such as the massive amount of data, high redundancy, and a strong correlation between every pixel in all directions demand image security, resulting in image encryption. The paper aims to improve the performance of AES by proposing a modified AES algorithm and improving the performance of ECC through a hybrid algorithm that combines ECC with an RGB pixel displacement algorithm. This paper critically analyzes the comparative performance of the proposed algorithms against the standard encryption algorithms such as RSA, ECC, AES, and PDA. The Root Mean Square Error, Peak Signal to Noise Ratio, Histogram analysis, Information entropy, rate of change of the number of pixels, Unified average intensity, correlation coefficient, Resistance to Noise attack analysis, and the encryption time analysis are the metrics used to analyze the performance of image encryption.
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References
Alsaffar DM, Almutiri AS, Alqahtani B, Alamri RM, Alqahtani HF, Alqahtani NN, Alshammari GM, Ali AA (2020) Image encryption based on AES and RSA algorithms. In: International conference on computer applications & information security 2020, pp 1–5. IEEE, Saudi Arabia
Singh A, Agarwal P, Chand M (2019) Image encryption and analysis using dynamic AES. In: 5th international conference on optimization and applications, Morocco. IEEE
Zhang X, Wang X (2018) Digital image encryption algorithm based on elliptic curve public cryptosystem, pp 70025–70034. https://doi.org/10.1109/access.2018.2879844
Somaraj S, Hussain MA (2016) A novel image encryption technique using RGB pixel displacement for color images. In: 6th international advanced computing conference, pp 275–279. IEEE
Kang X, Tao R (2019) Color image encryption using pixel scrambling operator and reality-preserving MPFRHT. IEEE Trans Circuits Syst Video Technol 29(7):1919–1932. https://doi.org/10.1109/tcsvt.2018.2859253
Zhang Y, Li X, Hou W (2017) A fast image encryption scheme based on AES. In: 2nd international conference on image and vision computing, pp 624–628
Zhu C, Li S, Lu Q (2019) Pseudo-random number sequence generator based on chaotic logistic-tent system. In: 2nd International conference on automation, electronics and electrical engineering, pp 547–551
Dua A, Duttay A (2019) Third international conference on trends in electronics and informatics, pp 249–254. IEEE
Zhang Q, Ding Q (2015) Digital image encryption based on advanced encryption standard (AES) algorithm. In: Fifth international conference on instrumentation and measurement, computer, communication and control, pp 1218–1221
Williams B, Hiromoto RE, Carlson A (2019) A design for cryptographically secure pseudo-random number generator. In: 10th International conference on intelligent data acquisition and advanced computing system: technology and application, 2019, pp 864–869. IEEE, 2019
Origines DV, Sison AM, Medina RP (2019) A novel pseudo-random number generator algorithm based on entropy source epoch timestamp. In: International conference on information and communications technology, pp 50–55. IEEE
Choi US, Cho SJ, Sediqal-Kadei FH, Mardan HA, Minas NA (2020) Speed up image encryption by using RSA algorithm. In: 6th International conference on advanced computing and communication systems (ICACCS), pp 1302–1307. IEEE
Sreelakshmi K, Ravi RV (2020) An encryption-then-compression scheme using autoencoder based image compression for color images. In: 7th International conference on smart structures and systems (ICSSS). IEEE
Chen C, Sun K, Xu Q (2020) A color image encryption algorithm based on 2D-CIMM chaotic map. https://doi.org/10.23919/jcc.2020.05.002
Yang F, Mou J, Cao Y, Chu R (2020) An image encryption algorithm based on BP neural network and hyperchaotic system. https://doi.org/10.23919/jcc.2020.05.003
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Anusuya, K.V., Navindran, N. (2022). Image Security Algorithms—Proposed Methods and Critical Performance Analysis for the Best Fit. In: Kumar, A., Mozar, S. (eds) ICCCE 2021. Lecture Notes in Electrical Engineering, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-16-7985-8_118
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DOI: https://doi.org/10.1007/978-981-16-7985-8_118
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