No abstract

In this era of the digital world, handling digital data with a secure passion is more important. At the height of maximum interest with the attainment of the data confidentiality with the miniature information is the tedious and most challenging concern of the system with the data handling and operating in the real-time environment. With the latest data confidentiality security model, such as image encryption over the communication networks in the distributed data environment, advanced hacking efforts such as cropping attack, brute force, differential, mathematical, and many more need to be addressed. In terms of bit scrambling, the security function plays a vital role in the pixel-based approach with minimum pixels are followed in the current security model  for a better correlation with the available pixels with the continued higher runtime complexity. In this research paper, along with the DNA encoding process, an efficient image cryptographic technique is shown with the reduced runtime complexity. The discussion in the article begins with the chaotic sequence EIIS (Efficient Image Information Scrambling) method. Progressed with the DNA (Deoxyribo Nucleic Acid) encoding is done with the data for resistance against different kinds of attacks by considering the suitable parameters from the existing security models.

An enhanced technique to generate unique code using DNA sequences that encrypt and decrypt plaintext of characters, text file(.txt,.doc,.docx),image (jpg, jpeg), audio(.mp3) and video(.mp4) using a dynamic DNA key-based cryptography. Cryptography is always considered as secured way for transferring information over insecure channel by achieving confidentiality, privacy and integrity. Since last 10 years traditional cryptography approaches are been replaced with more efficient and effective cryptographic systems like DNA Cryptography. This system takes the DNA sequence as the input and generates a key randomly and is used to decrypt the data without non-integrity of data. This system provides two stages of data security using DNA sequences.

In recent days, DNA cryptography is gaining more popularity for providing better security to image and text data. This paper presents a DNA based cryptographic solution for image and textual information. Image encryption involves scrambling at pixel and bit levels based on hyperchaotic sequences. Both image and text encryption involves basic DNA encoding rules, key combination, and conversion of data into binary and other forms. This new DNA cryptographic approach adds more dynamicity and randomness, making the cipher and keys harder to break. The proposed image encryption technique presents better results for various parameters, like Image Histogram, Correlation co-efficient, Information Entropy, Number of Pixels Change Rate (NPCR), and Unified Average Changing Intensity (UACI), Key Space, and Sensitivity compared with existing approaches. Improved time and space complexity, random key generation for text encryption prove that DNA cryptography can be a better security solution for new applications.

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.