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Secocomp: A Fast and Secure Simultaneouscompression and Encryption Scheme

https://doi.org/10.2139/ssrn.4590907
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inferredcites →https://doi.org/10.1007/978-3-540-30564-4_16openalex-extracted
Cryptanalysis of a White Box AES Implementation
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Using Convolutional Neural Networks to Detect Compression Algorithms
inferredcites →https://doi.org/10.1007/s00521-021-05921-yopenalex-extracted
Double color images compression–encryption via compressive sensing
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Breaking a novel colour image encryption algorithm based on chaos
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Cryptanalyzing image encryption using chaotic logistic map
inferredcites →https://doi.org/10.1016/0378-4371(95)00163-2openalex-extracted
“Logistic map”: an analytical solution
inferredcites →https://doi.org/10.1016/j.image.2021.116418openalex-extracted
A novel hybrid image encryption–compression scheme by combining chaos theory and number theory
inferredcites →https://doi.org/10.1016/j.jisa.2020.102566openalex-extracted
Cryptanalysis of an image block encryption algorithm based on chaotic maps
inferredcites →https://doi.org/10.1016/j.optlastec.2022.108071openalex-extracted
Multiple color image fusion, compression, and encryption using compressive sensing, chaotic-biometric keys, and optical fractional Fourier transform
inferredcites →https://doi.org/10.1016/j.patrec.2021.10.033openalex-extracted
Medical Image Encryption Scheme Using Multiple Chaotic Maps
inferredcites →https://doi.org/10.1016/j.sigpro.2016.10.002openalex-extracted
On the cryptanalysis of Fridrich's chaotic image encryption scheme
inferredcites →https://doi.org/10.1016/j.sigpro.2017.11.005openalex-extracted
Cryptanalysis and enhancements of image encryption using combination of the 1D chaotic map
inferredcites →https://doi.org/10.1049/iet-ipr.2019.0123openalex-extracted
Colour image encryption scheme based on enhanced quadratic chaotic map
inferredcites →https://doi.org/10.1080/0161-110291890876openalex-extracted
THE ADVANCED ENCRYPTION STANDARD
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On the Chaotic Behaviour of the Tent Map
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Image Compression and Encryption Scheme Based on Compressive Sensing and Fourier Transform
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A New Chaotic Map With Dynamic Analysis and Encryption Application in Internet of Health Things
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Cryptanalysis of Internet of Health Things Encryption Scheme Based on Chaotic Maps
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FPGA Acceleration of Zstd Compression Algorithm
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A Big Data Enabled Channel Model for 5G Wireless Communication Systems
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Chaotic Weights: A Novel Approach to Protect Intellectual Property of Deep Neural Networks
inferredcites →https://doi.org/10.1109/tcsi.2014.2365767openalex-extracted
Chaotic Cryptography Using Augmented Lorenz Equations Aided by Quantum Key Distribution
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n-Dimensional Polynomial Chaotic System With Applications
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A New Full Chaos Coupled Mapping Lattice and Its Application in Privacy Image Encryption
inferredcites →https://doi.org/10.1109/tcsii.2018.2865255openalex-extracted
A Parameter-Selection-Based Chaotic System
inferredcites →https://doi.org/10.1109/tcsvt.2019.2898732openalex-extracted
Deep Virtual Reality Image Quality Assessment With Human Perception Guider for Omnidirectional Image
inferredcites →https://doi.org/10.1109/tcsvt.2020.3021908openalex-extracted
Cryptanalysis of Image Ciphers With Permutation-Substitution Network and Chaos
inferredcites →https://doi.org/10.1109/tcyb.2021.3129808openalex-extracted
From Chaos to Pseudorandomness: A Case Study on the 2-D Coupled Map Lattice
inferredcites →https://doi.org/10.1109/tdsc.2018.2857811openalex-extracted
Anonymous Lightweight Chaotic Map-Based Authenticated Key Agreement Protocol for Industrial Internet of Things
inferredcites →https://doi.org/10.1109/tia.2022.3184668openalex-extracted
Ultra Super Fast Authentication Protocol for Electric Vehicle Charging Using Extended Chaotic Maps
inferredcites →https://doi.org/10.1109/tnnls.2020.3015992openalex-extracted
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
inferredcites →https://doi.org/10.1109/tnnls.2021.3084827openalex-extracted
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
inferredcites →https://doi.org/10.1109/tnse.2021.3089435openalex-extracted
PPSF: A Privacy-Preserving and Secure Framework Using Blockchain-Based Machine-Learning for IoT-Driven Smart Cities
inferredcites →https://doi.org/10.1109/tnse.2022.3199235openalex-extracted
A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis
inferredcites →https://doi.org/10.1109/tvt.2020.2997694openalex-extracted
Full Session Key Agreement Scheme Based on Chaotic Map in Vehicular Ad Hoc Networks
inferredcites →https://doi.org/10.1111/bcp.14801openalex-extracted
Machine learning in pharmacometrics: Opportunities and challenges
inferredcites →https://doi.org/10.1142/s0218127413500752openalex-extracted
BREAKING A CHAOTIC IMAGE ENCRYPTION ALGORITHM BASED ON MODULO ADDITION AND XOR OPERATION
inferredcites →https://doi.org/10.1145/2405688.2405693openalex-extracted
Towards privacy enhanced limited image processing in the clouds
inferredcites →https://doi.org/10.1155/2022/8548172openalex-extracted
An Improved Deep Learning-Based Technique for Driver Detection and Driver Assistance in Electric Vehicles with Better Performance
inferredcites →https://doi.org/10.12988/ams.2013.13022openalex-extracted
Design and FPGA implementation of Lorenz chaotic system for information security issues
inferredcites →https://doi.org/10.3390/e22040454openalex-extracted
Image Encryption Using Elliptic Curves and Rossby/Drift Wave Triads
inferredcites →https://doi.org/10.4230/lipics.aofa.2026.3openalex-extracted
Efficient Sampling of Increasing Trees
inferredcites →https://doi.org/10.48550/arxiv.1211.0820openalex-extracted
Performance of SSE and AVX Instruction Sets
inferredcites →https://doi.org/10.48550/arxiv.1912.12915openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2004.02806openalex-extracted
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Enhanced LZMA and BZIP2 for Improved Energy Data Compression
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Randomness testing of the advanced encryption standard candidate algorithms
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