A data encryption model based on intertwining logistic map

2020 ◽  
Vol 55 ◽  
pp. 102622
Author(s):  
Kamlesh Kumar Raghuvanshi ◽  
Subodh Kumar ◽  
Sunil Kumar
Keyword(s):  
Logistic Map ◽  
Data Encryption ◽  
Model Based ◽  
Intertwining Logistic Map

Hamming Distance Model Based Power Analysis for Cryptographic Algorithms

2011 ◽  
Vol 121-126 ◽  
pp. 867-871 ◽  
Author(s):  
Jie Li ◽  
Wei Wei Shan ◽  
Chao Xuan Tian
Keyword(s):  
Integrated Circuit ◽  
Power Analysis ◽  
Hamming Distance ◽  
Data Encryption ◽  
Design Stage ◽  
Early Design Stage ◽  
Model Based ◽  
Cryptographic Algorithms ◽  
Distance Model ◽  
The Right

In order to evaluate the security of Application Specific Integrated Circuit (ASIC) implemented cryptographic algorithms at an early design stage, a Hamming distance model based power analysis is proposed. The Data Encryption Standard (DES) algorithm is taken as an example to illustrate the threats of differential power analysis (DPA) attack against the security of ASIC chip. A DPA attack against the ASIC implementation of a DES algorithm is realized based on hamming distance power model (HD model), and it realized the attack by successfully guessing the right 48-bit subkey. This result indicates that the power analysis attack based on the HD model is simple, rapid and effective for the design and evaluation of security chips.

Differential evolution optimization of intertwining logistic map-DNA based image encryption technique

2019 ◽  
Vol 11 (9) ◽  
pp. 3771-3786 ◽  
Author(s):  
Mohit Dua ◽  
Aishwarya Wesanekar ◽  
Vishwas Gupta ◽  
Mayank Bhola ◽  
Shelza Dua
Keyword(s):  
Differential Evolution ◽  
Image Encryption ◽  
Logistic Map ◽  
Intertwining Logistic Map

Fourier–Mellin moment-based intertwining map for image encryption

2018 ◽  
Vol 32 (09) ◽  
pp. 1850115 ◽  
Author(s):  
Manjit Kaur ◽  
Vijay Kumar
Keyword(s):  
Image Encryption ◽  
Logistic Map ◽  
Input Image ◽  
Nsga Ii ◽  
Mellin Moment ◽  
Secret Keys ◽  
Robust Image ◽  
Low Sensitivity ◽  
High Level ◽  
Intertwining Logistic Map

In this paper, a robust image encryption technique that utilizes Fourier–Mellin moments and intertwining logistic map is proposed. Fourier–Mellin moment-based intertwining logistic map has been designed to overcome the issue of low sensitivity of an input image. Multi-objective Non-Dominated Sorting Genetic Algorithm (NSGA-II) based on Reinforcement Learning (MNSGA-RL) has been used to optimize the required parameters of intertwining logistic map. Fourier–Mellin moments are used to make the secret keys more secure. Thereafter, permutation and diffusion operations are carried out on input image using secret keys. The performance of proposed image encryption technique has been evaluated on five well-known benchmark images and also compared with seven well-known existing encryption techniques. The experimental results reveal that the proposed technique outperforms others in terms of entropy, correlation analysis, a unified average changing intensity and the number of changing pixel rate. The simulation results reveal that the proposed technique provides high level of security and robustness against various types of attacks.

Massive Data Hybrid Encryption Algorithm Based on Cloud Computing

2014 ◽  
Vol 651-653 ◽  
pp. 1864-1867
Author(s):  
Er Song Yang ◽  
Lin You ◽  
Zhen Dong Wu ◽  
Wang Ke Yu
Keyword(s):  
Cloud Computing ◽  
Hybrid Algorithm ◽  
Large Scale ◽  
Logistic Map ◽  
Structural Complexity ◽  
Data Encryption ◽  
Massive Data ◽  
One Dimensional ◽  
Hybrid Encryption ◽  
Encryption Algorithms

In order to ensure the security of massive data and user’s privacy in cloud computing, encrypting is a preferred method to protect their security. Due to some characteristics of massive data,such as large scale and structural complexity, it makes that the traditional encryption algorithms cannot be directly used to protect the security of massive data in cloud computing. Considering the real-time and reliability of encryption algorithms, we propose a hybrid algorithm, which combines DES algorithm and one-dimensional logistic map by using the parallel computing architecture of the MapReduce. Our experimental results and analysis show that our algorithm could effectively implement massive data encryption with high security.

A cryptographic model based on logistic map and a 3-D matrix

2017 ◽  
Vol 32 ◽  
pp. 47-58 ◽  
Author(s):  
Manish Kumar ◽  
Sunil Kumar ◽  
Rajat Budhiraja ◽  
M.K. Das ◽  
Sanjeev Singh
Keyword(s):  
Logistic Map ◽  
Model Based

scholarly journals Chaotic S-Box: Intertwining Logistic Map and Bacterial Foraging Optimization

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Ye Tian ◽  
Zhimao Lu
Keyword(s):  
Optimization Algorithm ◽  
Logistic Map ◽  
Bacterial Foraging Optimization ◽  
Differential Probability ◽  
Fitness Functions ◽  
Bacterial Foraging ◽  
Cryptographic System ◽  
Linear Probability ◽  
Intertwining Logistic Map ◽  
Bacterial Foraging Optimization Algorithm

As the unique nonlinear component of block ciphers, Substitution box (S-box) directly affects the safety of a cryptographic system. It is important and difficult to design strong S-box that simultaneously meets multiple cryptographic criteria such as bijection, nonlinearity, strict avalanche criterion (SAC), bit independence criterion (BIC), differential probability (DP), and linear probability (LP). Though many chaotic S-boxes have been proposed, the cryptographic performance of most of them needs to be further improved. A new chaotic S-box based on the intertwining logistic map and bacterial foraging optimization is designed in this paper. It firstly iterates the intertwining logistic map to construct many S-boxes and then applies a bacterial foraging optimization algorithm to find the optimal S-box. Moreover, bacterial foraging optimization algorithm considers the nonlinearity and differential uniformity as the fitness functions in the optimization process. We experiment that the proposed S-box can effectively resist multiple types of cryptanalysis attacks.

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