DNACDS:Cloud IoE big data security and accessing scheme based on DNA cryptography

The Internet of Everything(IoE)based cloud computing is one of the most prominent areas in the digital big data world.This approach allows efficient infrastructure to store and access big real-time data and smart IoE services from the cloud.The IoE-based cloud computing services are located at remote locations without the control of the data owner.The data owners mostly depend on the untrusted Cloud Service Provider(CSP)and do not know the implemented security capabilities.The lack of knowledge about security capabilities and control over data raises several security issues.Deoxyribonucleic Acid(DNA)computing is a biological concept that can improve the security of IoE big data.The IoE big data security scheme consists of the Station-to-Station Key Agreement Protocol(StS KAP)and Feistel cipher algorithms.This paper proposed a DNA-based cryptographic scheme and access control model(DNACDS)to solve IoE big data security and access issues.The experimental results illustrated that DNACDS performs better than other DNA-based security schemes.The theoretical security analysis of the DNACDS shows better resistance capabilities.

Enhanced Parallelized DNA-Coded Stream Cipher Based on Multiplayer Prisoners’Dilemma

Data encryption is essential in securing exchanged data between connected parties.Encryption is the process of transforming readable text into scrambled,unreadable text using secure keys.Stream ciphers are one type of an encryption algorithm that relies on only one key for decryption and as well as encryption.Many existing encryption algorithms are developed based on either a mathematical foundation or on other biological,social or physical behaviours.One technique is to utilise the behavioural aspects of game theory in a stream cipher.In this paper,we introduce an enhanced Deoxyribonucleic acid(DNA)-coded stream cipher based on an iterated n-player prisoner’s dilemma paradigm.Our main goal is to contribute to adding more layers of randomness to the behaviour of the keystream generation process;these layers are inspired by the behaviour of multiple players playing a prisoner’s dilemma game.We implement parallelism to compensate for the additional processing time that may result fromadding these extra layers of randomness.The results show that our enhanced design passes the statistical tests and achieves an encryption throughput of about 1,877 Mbit/s,which makes it a feasible secure stream cipher.

Symmetric-key cryptosystem with DNA technology

DNA cryptography is a new field which has emerged with progress in the research of DNA computing. In our study, a symmetric-key cryptosystem was designed by applying a modern DNA biotechnology, microarray, into cryptographic technologies. This is referred to as DNA symmetric-key cryptosystem (DNASC). In DNASC, both encryption and decryption keys are formed by DNA probes, while its ciphertext is embedded in a specially designed DNA chip (microarray). The security of this system is mainly rooted in difficult biology processes and problems, rather than conventional computing technology, thus it is unaffected by changes from the attack of the coming quantum computer. The encryption process is a fabrication of a specially designed DNA chip and the decryption process is the DNA hybridization. In DNASC, billions of DNA probes are hybridized and identified at the same time, thus the decryption process is conducted in a massive, parallel way. The great potential in vast parallelism computation and the extraordinary information density of DNA are displayed in DNASC to some degree.

A novel DNA-inspired encryption strategy for concealing cloud storage

Over the last few years,the need of a cloud environment with the ability to detect illegal behaviours along with a secured data storage capability has increased largely.This study presents such a secured cloud storage framework comprising of a deoxyribonucleic acid(DNA)based encryption key which has been generated to make the framework unbreakable,thus ensuring a better and secured distributed cloud storage environment.Furthermore,this work proposes a novel DNA-based encryption technique inspired by the biological characteristics of DNA and the protein synthesis mechanism.The introduced DNA based model also has an additional advantage of being able to decide on selecting suitable storage servers from an existing pool of storage servers on which the data must be stored.A fuzzy-based technique for order of preference by similarity to ideal solution(TOFSIS)multi-criteria decisionmaking(MCDM)model has been employed to achieve the above-mentioned goal.This can decide the set of suitable storage servers and also results in a reduction in execution time by keeping up the level of security to an improved grade.This study also investigates and analyzes the strength of the proposed S-Box and encryption technique against some standard criteria and benchmarks,such as avalanche effect,correlation coefficient,information entropy,linear probability,and differential probability etc.After the avalanche effect analysis,the average change in cipher-text has been found to be 51.85%.Moreover,thorough security,sensitivity and functionality analysis show that the proposed scheme guarantees high security with robustness.