Efficient DNA Cryptographic Framework for Secured Data Encryption based on Chaotic Sequences

2022 ◽  
Vol 16 (1) ◽  
pp. 0-0
Keyword(s):  
Chaotic Maps ◽  
Research Work ◽  
Data Encryption ◽  
Heterogeneous Data ◽  
Change Rate ◽  
Cryptographic System ◽  
Robust Image ◽  
Secured Data ◽  
Differential Attacks ◽  
Diverse Data

Data is big, data is diverse, data comes in zillion formats, it is important to ensure the safety and security of the shared data. With existing systems limited and evolving, the objective of the current research work is to develop a robust Image Encryption technique that is adept and effective at handling heterogeneous data and can withstand state-of-the-art hacking efforts such as brute force attacks, cropping attacks, mathematical attacks, and differential attacks. The proposed Efficient DNA Cryptographic System (EDCS) model presents a pseudorandom substitution method using logistic sine cosine chaotic maps, wherein there is very little correlation between adjacent pixels, and it can decode the image with or without noise, thereby making the proposed system noise-agnostic. The proposed EDCS-based Image model using Chaotic Maps showed enhancements in parameters such as Unified Average Changing Intensity (UACI), Number of Pixels Change Rate (NPCR), Histogram, and Entropy when compared with existing image security methods.

scholarly journals A New Chaos-based Approach for Robust Image Encryption

2021 ◽  
pp. 51-64
Author(s):  
Fahmi Khalifa ◽  
◽  
◽  
◽  
◽  
...  
Keyword(s):  
Image Encryption ◽  
Chaotic Maps ◽  
Security Analysis ◽  
High Sensitivity ◽  
Data Encryption ◽  
High Security ◽  
Robust Image ◽  
A New Technique ◽  
Residual Intelligibility

Chaotic encryptions offered various advantages over traditional encryption methods, like high security, speed, reasonable computational overheads. This paper introduces novel perturbation techniques for data encryption based on double chaotic systems. A new technique for image encryption utilizing mixed the proposed chaotic maps is presented. The proposed hybrid system parallels and combines two chaotic maps as part of a new chaotification method. It based on permutation, diffusion and system parameters, which are then involved in pixel shuffling and substitution operations, respectively. Many statistical test and security analysis indicate the validity of the results, e.g., the average values for NPCR and UACI are 99.67145% and 33.63288%, respectively. The proposed technique can achieve low residual intelligibility, high sensitivity and quality of recovered data, high security performance, and it show that the encrypted image has good resistance against attacks.

scholarly journals Performance analysis on secured data method in natural language steganography

2019 ◽  
Vol 8 (1) ◽  
pp. 298-304
Author(s):  
Roshidi Din ◽  
Rosmadi Bakar ◽  
Raihan Sabirah Sabri ◽  
Mohamad Yusof Darus ◽  
Shamsul Jamel Elias
Keyword(s):  
Performance Analysis ◽  
Natural Language ◽  
Secure Communication ◽  
Data Encryption ◽  
Code Word ◽  
Future Research ◽  
Original Text ◽  
Text Data ◽  
Performance Metric ◽  
Secured Data

The rapid amount of exchange information that causes the expansion of the internet during the last decade has motivated that a research in this field. Recently, steganography approaches have received an unexpected attention. Hence, the aim of this paper is to review different performance metric; covering the decoding, decrypting and extracting performance metric. The process of data decoding interprets the received hidden message into a code word. As such, data encryption is the best way to provide a secure communication. Decrypting take an encrypted text and converting it back into an original text. Data extracting is a process which is the reverse of the data embedding process. The effectiveness evaluation is mainly determined by the performance metric aspect. The intention of researchers is to improve performance metric characteristics. The evaluation success is mainly determined by the performance analysis aspect. The objective of this paper is to present a review on the study of steganography in natural language based on the criteria of the performance analysis. The findings review will clarify the preferred performance metric aspects used. This review is hoped to help future research in evaluating the performance analysis of natural language in general and the proposed secured data revealed on natural language steganography in specific.

scholarly journals Implementasi Algoritma Data Encryption Standard Pada Penyandian Record Database

2018 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Neti Rusri Yanti ◽  
Alimah Alimah ◽  
Desi Afrida Ritonga
Keyword(s):  
Block Cipher ◽  
Block Size ◽  
Data Encryption ◽  
Data Encryption Standard ◽  
Cryptographic Algorithms ◽  
Secure Data ◽  
Cryptographic System

Record databases are generally still often displayed in text form as information for users, so it can facilitate cryptanalyst to access and provide opportunities to do the leak, distribute or modify the database records. One of the cryptographic algorithms used to secure data is using the DES algorithm to encrypt the data to be stored or sent. The DES algorithm belongs to a cryptographic system of symmetry and is a type of block cipher. DES operates on a 64-bit block size. DES describes 64 bits of plaintext to 64 bits of ciphertext using 56 bits of internal key (internal key) or up-key (subkey). The internal key is generated from an external key 64-bit length. This research describes the process of securing database records by encrypting it based on DES algorithm, resulting in text record databases in the form of passwords that are difficult to understand and understand by others. This is done in an attempt to minimize the misuse of database records.

scholarly journals Light Weight CNN based Robust Image Watermarking Scheme for Security

2021 ◽  
Vol 3 (2) ◽  
pp. 118-132
Author(s):  
Dhaya R.
Keyword(s):  
Digital Watermarking ◽  
Research Study ◽  
Image Watermarking ◽  
Research Work ◽  
Light Weight ◽  
Calculation Time ◽  
Geometric Type ◽  
Robust Image ◽  
Difficult Challenge ◽  
Watermarking Scheme

In recent years, digital watermarking has improved the accuracy and resistance of watermarked images against many assaults, such as various noises and random dosage characteristics. Because, based on the most recent assault, all existing watermarking research techniques have an acceptable level of resistance. The deep learning approach is one of the most remarkable methods for guaranteeing maximal resistance in the watermarking system's digital image processing. In the digital watermarking technique, a smaller amount of calculation time with high robustness has recently become a difficult challenge. In this research study, the light weight convolution neural network (LW-CNN) technique is introduced and implemented for the digital watermarking scheme, which has more resilience than any other standard approaches. Because of the LW-CNN framework's feature selection, the calculation time has been reduced. Furthermore, we have demonstrated the robustness of two distinct assaults, collusion and geometric type. This research work has reduced the calculation time and made the system more resistant to current assaults.

scholarly journals A New Image Encryption Scheme Based on Hybrid Chaotic Maps

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-23 ◽  
Author(s):  
Ibrahim Yasser ◽  
Fahmi Khalifa ◽  
Mohamed A. Mohamed ◽  
Ahmed S. Samrah
Keyword(s):  
Image Encryption ◽  
Chaotic Maps ◽  
High Sensitivity ◽  
Data Encryption ◽  
Discrete Wavelet ◽  
Hybrid Technique ◽  
High Security ◽  
Residual Intelligibility ◽  
And Diffusion ◽  
Image Encryption Algorithm

Chaos-based encryption algorithms offer many advantages over conventional cryptographic algorithms, such as speed, high security, affordable overheads for computation, and procedure power. In this paper, we propose a novel perturbation algorithm for data encryption based on double chaotic systems. A new image encryption algorithm based on the proposed chaotic maps is introduced. The proposed chaotification method is a hybrid technique that parallels and combines the chaotic maps. It is based on combination between Discrete Wavelet Transform (DWT) to decompose the original image into sub-bands and both permutation and diffusion properties are attained using the chaotic states and parameters of the proposed maps, which are then concerned in shuffling of pixel and operations of substitution, respectively. Security, statistical test analyses, and comparison with other techniques indicate that the proposed algorithm has promising effect and it can resist several common attacks. Namely, the average values for UACI and NPCR metrics were 33.6248% and 99.6472%, respectively. Additionally, unscrambling quality can fulfill security and execution prerequisites as evidenced by PSNR (9.005955) and entropy (7.999275) values. In sum, the proposed method has enough ability to achieve low residual intelligibility with high quality recovered data, high sensitivity, and high security performance compared to some other recent literature approaches.

scholarly journals A Nonlinearly Modulated Logistic Map With Delay for Image Encryption

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 326 ◽  
Author(s):  
Shouliang Li ◽  
Benshun Yin ◽  
Weikang Ding ◽  
Tongfeng Zhang ◽  
Yide Ma
Keyword(s):  
Lyapunov Exponents ◽  
Image Encryption ◽  
Chaotic Maps ◽  
Chaotic Map ◽  
Logistic Map ◽  
Delay Model ◽  
Test Results ◽  
Bit Plane ◽  
Differential Attacks ◽  
Image Encryption Algorithm

Considering that a majority of the traditional one-dimensional discrete chaotic maps have disadvantages including a relatively narrow chaotic range, smaller Lyapunov exponents, and excessive periodic windows, a new nonlinearly modulated Logistic map with delay model (NMLD) is proposed. Accordingly, a chaotic map called a first-order Feigenbaum-Logistic NMLD (FL-NMLD) is proposed. Simulation results demonstrate that FL-NMLD has a considerably wider chaotic range, larger Lyapunov exponents, and superior ergodicity compared with existing chaotic maps. Based on FL-NMLD, we propose a new image encryption algorithm that joins the pixel plane and bit-plane shuffle (JPB). The simulation and test results confirm that JPB has higher security than simple pixel-plane encryption and is faster than simple bit-plane encryption. Moreover, it can resist the majority of attacks including statistical and differential attacks.

Variant of Northern Bald Ibis Algorithm for Unmasking Outliers

2020 ◽  
Vol 12 (1) ◽  
pp. 15-29
Author(s):  
Ravi Kumar Saidala
Keyword(s):  
Chaotic Maps ◽  
Research Work ◽  
Migration Pattern ◽  
Clustering Methods ◽  
Clustering Method ◽  
Mathematical Functions ◽  
Local Optima ◽  
Clinical Dataset ◽  
Real World Applications ◽  
Numerical Complexity

Clustering, one of the most attractive data analysis concepts in data mining, are frequently used by many researchers for analysing data of variety of real-world applications. It is stated in the literature that traditional clustering methods are trapped in local optima and fail to obtain optimal clusters. This research work gives the design and development of an advanced optimum clustering method for unmasking abnormal entries in the clinical dataset. The basis is the NOA, a recently proposed algorithm, driven by mimicking the migration pattern of Northern Bald Ibis (Threskiornithidae) birds. First, we developed the variant of the standard NOA by replacing C1 and C2 parameters of NOA with chaotic maps turning it into the VNOA. Later, we utilized the VNOA in the design of a new and advanced clustering method. VNOA is first benchmarked on a 7 unimodal (F1–F7) and 6 multimodal (F8–F13) mathematical functions. We tested the numerical complexity of proposed VNOA-based clustering methods on a clinical dataset. We then compared the obtained graphical and statistical results with well-known algorithms. The superiority of the presented clustering method is evidenced from the simulations and comparisons.

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