A Novel DNA Computing Based Encryption and Decryption Algorithm

UbaidurRahman, Noorul Hussain; Balamurugan, Chithralekha; Mariappan, Rajapandian

doi:10.1016/j.procs.2015.02.045

Cited by 71 publications

(28 citation statements)

References 10 publications

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“…Anyone can use the public key to encrypt the plaintext (PT) while the parameter e is kept secret. The parameter PST , denoting the public DNA Sequence Table, consists of 24*4 size matrix, as used in [25], [22]. This table fulfills all the alphabet characters: uppercase, lowercase, numbers, and special characters.…”

Section: Proposed Algorithmmentioning

confidence: 99%

Design and Analysis of DNA Encryption and Decryption Technique based on Asymmetric Cryptography System

Al-Mahdi¹,

Alruily²,

Shahin³

et al. 2019

ijacsa

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Security of sensitive information at the time of transmission over public channels is one of the critical issues in digital society. The DNA-based cryptography technique is a new paradigm in the cryptography field that is used to protect data during transmission. In this paper we introduce the asymmetric DNA cryptography technique for encrypting and decrypting plain-texts. This technique is based on the concept of data dependency, dynamic encoding and asymmetric cryptosystem (i.e. RSA algorithm). The asymmetric cryptosystem is used solely to initiate the encryption and decryption processes that are completely conducted using DNA computing. The basic idea is to create a dynamic DNA table based on the plaintext, using multi-level security, data dependency and generating 14 dynamic round keys. The proposed technique is implemented using the JAVA platform and its efficiency is examined in terms of avalanche property. The evaluation process proves that the proposed technique outperforms the RSA algorithm in terms of avalanche property.

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Section: Proposed Algorithmmentioning

confidence: 99%

Design and Analysis of DNA Encryption and Decryption Technique based on Asymmetric Cryptography System

Al-Mahdi¹,

Alruily²,

Shahin³

et al. 2019

ijacsa

View full text Add to dashboard Cite

show abstract

“…In the proposed DNA elliptical cryptography, standard elliptical curve parameters and methods have been chosen. Existing works in elliptical cryptography have shown its resilience towards timing and simple power analysis (SPA) attacks . The elliptical cryptography produces random data after decryption without a proper authentication key.…”

Section: Security Performancementioning

confidence: 99%

“…Therefore, encryption schemes for IoT systems need to be less complicated, and should function with reduced memory usage, which is dependent on the key size. Compared to conventional systems, elliptical curve cryptography (ECC) can statistically provide stronger security with a smaller key size, thus making it a suitable alternative for IoT devices . The strength of elliptical cryptography relies on the fact that the output of the decryption operation will be ambiguous without a proper authentication key.…”

Section: Introductionmentioning

confidence: 99%

Novel Method for DNA-Based Elliptic Curve Cryptography for IoT Devices

Tiwari¹,

Kim²

2018

ETRI Journal

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Elliptic curve cryptography (ECC) can achieve relatively good security with a smaller key length, making it suitable for Internet of Things (IoT) devices. DNA-based encryption has also been proven to have good security. To develop a more secure and stable cryptography technique, we propose a new hybrid DNA-encoded ECC scheme that provides multilevel security. The DNA sequence is selected, and using a sorting algorithm, a unique set of nucleotide groups is assigned. These are directly converted to binary sequence and then encrypted using the ECC; thus giving double-fold security. Using several examples, this paper shows how this complete method can be realized on IoT devices. To verify the performance, we implement the complete system on the embedded platform of a Raspberry Pi 3 board, and utilize an active sensor data input to calculate the time and energy required for different data vector sizes. Connectivity and resilience analysis prove that DNAmapped ECC can provide better security compared to ECC alone. The proposed method shows good potential for upcoming IoT technologies that require a smaller but effective security system.

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“…The paper evaluates and analyzes image encryption techniques that are proposed in the literature and verify their characteristics to determine the Strength, efficiency and weaknesses of these encryption techniques [19]. The authors introduced DNA Encryption and Decryption Algorithmby generating a DNA encoding table for encoding of secret data, division, rotation and transformation [20][21].…”

Section: Introductionmentioning

confidence: 99%

Chaotic Genetic-fuzzy Encryption Technique

Mousa¹

2018

IJCNIS

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Abstract-As the result of increasing use of internet in daily communication and the importance of information security during data storage and transmission process, we propose iterative Chaotic Genetic-fuzzy Encryption Technique(C-GET) in order to enhance secured encryption technique and less predictable. In this technique,binarize any digital data type. The main encryption stages of C-GET are chaotic map functions, fuzzy logic and genetic operations. Mathematic operations and rotation are also included that increase encryption quality. Images are used for testing propose. For testing C-GET,digitalimagesareusedbecause they become an important resource of communication. The original and reconstructed data are identical. Experimental results show that C-GET technique has multilayer protection stages against various attacks and a powerful security based on the multi-stages, multiple parameters, fuzzy logic and genetic operations. Decrypted data is nearly randomness and has negligible correlation with secret data.

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A Novel DNA Computing Based Encryption and Decryption Algorithm

Cited by 71 publications

References 10 publications

Design and Analysis of DNA Encryption and Decryption Technique based on Asymmetric Cryptography System

Design and Analysis of DNA Encryption and Decryption Technique based on Asymmetric Cryptography System

Novel Method for DNA-Based Elliptic Curve Cryptography for IoT Devices

Chaotic Genetic-fuzzy Encryption Technique

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