DNA-Genetic Encryption Technique

Mousa, Hamdy M.

doi:10.5815/ijcnis.2016.07.01

Cited by 35 publications

(7 citation statements)

References 20 publications

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“…Differences from the existing scenario where a user code/decode of data on a laptop mechanism only. [17] We use crypto (symmetric encryption and decryption algorithms) power-resourcefully requirement to understand the interaction between power utilization and encryption and decryption constraint shown in table no-1 which shows the original message convert into ASCII code .We use the formula for encrypting original message and got the quotient and reminder . After decrypting received the message by using formula and get the ASCII value and then convert into the original message.…”

Section: Mutationmentioning

confidence: 99%

Energy Optimization on Symmetric Key Encryption and Decryption Algorithm using Genetic Algorithm

Mishra¹,

Shukla²,

Shukla³

et al. 2019

IJITEE

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In this paper we have proposed energy optimization on symmetric key encryption and decryption algorithm are using genetic algorithm where we have used symmetric key for encryption & decryption algorithm that optimize the energy in terms of power consumption related to the laptop battery. This method combines the concept of a genetic algorithms and cryptography in very different ways. The algorithm uses deterministic way to generate pseudo random number and applied crossover & mutation deterministically. The algorithm exploits the features of the GA deterministically because GA is fast. Finally we got the actual message of ASCII code by using decrypted algorithms minimises power consumption relatively

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Section: Mutationmentioning

confidence: 99%

Energy Optimization on Symmetric Key Encryption and Decryption Algorithm using Genetic Algorithm

Mishra¹,

Shukla²,

Shukla³

et al. 2019

IJITEE

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“…Shared Mixed Polarity Reed- Genetic Algorithm (GA) is a meta-heuristic search algorithm that stochastically exploits within a population of the solution to solve optimization problem [30]. GA, a popular optimization algorithm finds its application from healthcare to general studies [31][32][33]. In the algorithmic process, each solution in a population is assigned a fitness value and behave analogous manner to natural selection as proposed by Darwin.…”

Section: Power-density Esimationmentioning

confidence: 99%

Area-Power-Temperature Aware AND-XOR Network Synthesis Based on Shared Mixed Polarity Reed-Muller Expansion

Das¹,

Pradhan²

2018

IJISA

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Modern Integrated circuits (ICs) suffer from excessive power and temperature issues because of embedding a large number of applications on small silicon real estate. Low power technique is introduced to reduce the power. With the reduction of power, area of circuit increases and vice versa. It shows a trade-off nature between them. Increase of area is against the trend of technology scaling which demands small area. Due to small area and high power dissipation, power-density increases. As power-density is directly converging into temperature, it emerges as a challenge in front of the VLSI design engineer to minimize the effect of temperature by reducing power-density. In this work, an attempt has been made to reduce the effect of powerdensity along with area and power so that AND-XOR based circuit is balanced in terms of area, power, and temperature. AND-XOR based reed-muller (RM) mixed polarity circuit forms are considered in this work. Polarity conversions are made in such a way that possibility of maximum sharing among the sub-function is increased. Genetic algorithm is (a non-exhaustive heuristic algorithm) used to select the polarity of the input variable for maximum sharing. The proposed synthesis approach shows 27.11%, 20.69%, and 32.30% savings in area, power, and power-density respectively than that of reported results. For the validation of the proposed approach, the best solutions are implemented in Cadence digital domain to obtain actual silicon area and power consumption. HotSpot tool is used to get the absolute temperature of the circuit.Spreader thickness = 1mm, Chip to spreader interface thickness = 0.020mm, Dynamic temperature management = above 85 °C .

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“…There are researchers proposed encryption systems using 1-D and high-dimensional chaotic maps [15][16][17]. Some authors consider using a combination of DNA and chaotic maps in cryptosystems to realize authentication and confidentiality for digital data [18][19][20]. Many researchers proposed cryptosystems to enhance the quality of the encrypted data using evolutionary computation, metaheuristic algorithms, and fuzzy logic systems [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Partially Deep-Learning Encryption Technique

Mousa¹

2023

Computers, Materials &Amp; Continua

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The biggest problem facing the world is information security in the digital era. Information protection and integrity are hot topics at all times, so many techniques have been introduced to transmit and store data securely. The increase in computing power is increasing the number of security breaches and attacks at a higher rate than before on average. Thus, a number of existing security systems are at risk of hacking. This paper proposes an encryption technique called Partial Deep-Learning Encryption Technique (PD-LET) to achieve data security. PD-LET includes several stages for encoding and decoding digital data. Data preprocessing, convolution layer of standard deep learning algorithm, zigzag transformation, image partitioning, and encryption key are the main stages of PD-LET. Initially, the proposed technique converts digital data into the corresponding matrix and then applies encryption stages to it. The implementation of encrypting stages is frequently changed. This collaboration between deep learning and zigzag transformation techniques provides the best output result and transfers the original data into a completely undefined image which makes the proposed technique efficient and secure via data encryption. Moreover, its implementation phases are continuously changed during the encryption phase, which makes the data encryption technique more immune to some future attacks because breaking this technique needs to know all the information about the encryption technique. The security analysis of the obtained results shows that it is computationally impractical to break the proposed technique due to the large size and diversity of keys and PD-LET has achieved a reliable security system.

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DNA-Genetic Encryption Technique

Cited by 35 publications

References 20 publications

Energy Optimization on Symmetric Key Encryption and Decryption Algorithm using Genetic Algorithm

Energy Optimization on Symmetric Key Encryption and Decryption Algorithm using Genetic Algorithm

Area-Power-Temperature Aware AND-XOR Network Synthesis Based on Shared Mixed Polarity Reed-Muller Expansion

Partially Deep-Learning Encryption Technique

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