An Introduction to Evolutionary Optimization for Microwave Engineering

Zhang, Lei; Aaen, Peter H.; Dhaene, Tom; Sahu, Abhishek; Devabhaktuni, Vijay

doi:10.1002/047134608x.w8286

Cited by 2 publications

(1 citation statement)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…-Generic algorithm One of the general search algorithms depending on the mechanism of natural selection and the natural genetic system is the GA, a heuristic search algorithm that draws inspiration from Charles Darwin's theory of natural selection. It is intended for the inherited groups (adding or replacing certain genetic materials) in order to form individuals with good traits, and on this basis the GA selects the preferred solutions from a large number of solutions and makes some overlaps and alterations between these solutions in order to create better solutions [8]. The GA is a method of artificial intelligence and it is one of the modern methods, as the importance of using this method has emerged in solving complex problems (large in size and has a huge number of alternative solutions) in an appropriate time.…”

Section: Introductionmentioning

confidence: 99%

Optimization-based pseudo random key generation for fast encryption scheme

Shawkat‎‎

Kherallah

2023

Bulletin EEI

View full text Add to dashboard Cite

Data encryption is being widely employed to secure data in order to provide confidentiality, authenticity and data privacy. In proposed method a novel method for (encryption, decryption) message through optimization using genetic algorithm (GA) is presented which aims to maintain the security of the message via increasing the complexity of the key used in the encryption. The proposed method is named stream cipher randomization using GA (SCRGA). It is characterized by its secrecy by hiding the statistical properties for the input message. The GA increases the key diffusion in order to eliminate the likelihood of using the statistical analysis and cryptanalysis techniques to obtain the original text. A key (k) will be supplied as input to pseudorandom bit generator and then it produces a random 8-bit output, The SCRGA evaluates the candidate keys and it would select the one that achieves the best value of the fitness function by maximization three criteria considered in matching the input message and the key. The test results were based on the comparison of the proposed method with two other state-of-the-art methods, that the SCRGA outperformed the other two methods in terms of the execution time (encryption, decryption) and encryption rounds key size.

show abstract

Section: Introductionmentioning

confidence: 99%