Session key based fast, secure and lightweight image encryption algorithm

Nowadays, most of the communications in IoT enabled devices are done in the form of images. To protect the images from intruders, there is a need for a secure encryption algorithm. Many encryption algorithms have been proposed, some of the algorithms are based on symmetric-key cryptography and other...

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Vydáno v:Multimedia tools and applications Ročník 80; číslo 7; s. 10391 - 10416
Hlavní autoři: Gupta, Manish, Gupta, Kamlesh Kumar, Shukla, Piyush Kumar
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.03.2021
Springer Nature B.V
Témata:
Algorithms
Computer Communication Networks
Computer Science
Crossovers
Cryptography
Data Structures and Information Theory
Encryption
Genetic algorithms
Lightweight
Multimedia Information Systems
Mutation
Operators
Special Purpose and Application-Based Systems
Mutation operator
Encryption algorithm
Crossover operator
Decryption algorithm
Block cipher
Session key
ISSN:1380-7501, 1573-7721
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Shrnutí:Nowadays, most of the communications in IoT enabled devices are done in the form of images. To protect the images from intruders, there is a need for a secure encryption algorithm. Many encryption algorithms have been proposed, some of the algorithms are based on symmetric-key cryptography and others are based on asymmetric key cryptography. This work proposed a fast, secure, and lightweight symmetric image cryptographic algorithm based on the session key. In this work, for every image encryption, a new session key is generated. Here session keys are generated with the help of crossover and mutation operators of genetic algorithm. This proposed algorithm uses a 64-bit plain text and requires an 80-bit key, where 64-bits of a key is generated via symmetric hexadecimal key and the remaining 16-bits of a key are randomly added, to encrypt the image. Here crossover and mutation operators are used to generate random 64-bits of a key. The proposed algorithm will work for both color and grayscale images. The proposed algorithm is simulated on MATLAB 2017 platform and compared with similar types of the existing algorithm on various parameters.
Bibliografie:ObjectType-Article-1
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-020-10116-z