Cellular-genetic test data generation

Bhasin, Harsh; Singla, Neha

doi:10.1145/2507288.2507303

Cited by 7 publications

(9 citation statements)

References 19 publications

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“…This algorithm takes 64 bit key as the plain text and gives the output of 64 bit ciphered text [2] [14]. There are two P boxes which are used as initial and final permutations.…”

Section: Symmetric Key Cryptographymentioning

confidence: 99%

“…Diffie-Hellman Key Exchange is also a public key cryptography technique [3] [14]. Two numbers 'x' and 'y' are chosen.…”

Section: Asymmetric Key Cryptographymentioning

confidence: 99%

“…Genetic Algorithm (GA) is a function that imitates the process of natural selection in the field of Artificial Intelligence (AI) [11] [14]. GA involves some of the operators like crossover, mutation and selection.…”

Section: Genetic Algorithmmentioning

confidence: 99%

“…Whenever data is transferred via the networks; it can be accessed by unguarded computers. To avoid data to be lost or get corrupted, network security is very essential and at the same time pivotal [2] [14]. The major role of network security lies in avoiding the tampering of data transmitted across the network.…”

Section: Introductionmentioning

confidence: 99%

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Generating the Best Fit Key in Cryptography using Genetic Algorithm

Jawaid¹,

Jamal²

2014

IJCA

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The goal of network security is to provide a secure, effective and private communication between the sender and the receiver. In order to achieve a high level of security, data is sent in the encrypted form to its intended recipient. But, tampering with the text and eavesdropping have assumed colossal proportions. This is generally done by decoding the key. Therefore, to make the key strong and almost unpredictable, a method based on the theory of natural selection has been proposed in the paper. This method finds the best fit element in the environment. as the paper uses Genetic Algorithm to accomplish the above task. The paper not only illustrates this innovative method of key generation but also demonstrates its implementation. To achieve even more high standards of security Data Encryption Standard cipher program has been used for verification and validation.

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“…This algorithm takes 64 bit key as the plain text and gives the output of 64 bit ciphered text [2] [14]. There are two P boxes which are used as initial and final permutations.…”

Section: Symmetric Key Cryptographymentioning

confidence: 99%

“…Diffie-Hellman Key Exchange is also a public key cryptography technique [3] [14]. Two numbers 'x' and 'y' are chosen.…”

Section: Asymmetric Key Cryptographymentioning

confidence: 99%

Section: Genetic Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Generating the Best Fit Key in Cryptography using Genetic Algorithm

Jawaid¹,

Jamal²

2014

IJCA

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“…The work is a part of our larger endeavor to develop a comprehensive system which would automate the very difficult process of software testing. It may be also stated here that the system dealing with automation of development of test cases using cellular automata and artificial life has also been dealt in our earlier works [5,8,10,11].…”

mentioning

confidence: 99%

Neural Network-Based Automated Priority Assigner

Bhasin

Khanna²,

Sharma

2015

Advances in Intelligent Systems and Computing

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The testing of a system starts with the crafting of test cases. Not all the test cases are, however, equally important. The test cases can be prioritized using policies discussed in the work. The work proposes a neural network model to prioritize the test cases. The work has been validated using backpropagation neural network. 200 test cases were crafted and the experiment was carried out using 2, 5, 10, 15, and 20 layers neural network. The results have been reported and lead to the conclusion that neural network-based priority analyzer can predict the priority of a test.

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