Adaptive key generation algorithm based on software engineering methodology

Croock, Muayad Sadik; Hassan, Zahraa Abbas; Khudhur, Saja Dhyaa

doi:10.11591/ijece.v11i1.pp589-595

Cited by 4 publications

(5 citation statements)

References 12 publications

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“…The model presented in this paper includes six elements of goal, input, activities, output, outcomes, and performance. In [ 14 ], software engineering methodologies have been used to propose an adaptive approach for presenting a robust cipher key generation algorithm. The technique used in this method is based on self-checking procedures that can detect the system-level errors.…”

Section: Literature Reviewmentioning

confidence: 99%

Leveled Design of Cryptography Algorithms Using Cybernetic Methods for Using in Telemedicine Applications

Molk

Aref

Khorshid-Doust

2021

Computational Intelligence and Neuroscience

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The technology world is developing fast with the developments made in the hardware and software areas. Considering that privacy and security of telemedicine applications are among the main necessities of this industry, as a result, there is a need to use lightweight and practical algorithms to be used in applications in the field of telemedicine, while security have the least negative impact. The distinct and contradicting components in the design and implementation of the cryptography algorithm, to achieve various objectives in medicine-based applications, have made it a complicated system. It is natural that, without identifying the components, indices, and properties of each system component, the hardware and software resources are lost and a proper algorithm cannot be designed. Accordingly, this paper presents a leveled model of cryptography algorithms using the cybernetic method. First, the main objectives and measures in the design of the cryptography algorithms are extracted using the measure reduction methods, and some of the excess and overlapping measures are eliminated. Then, three general classes of the cryptography algorithm design and implementation measures, applications of cryptography algorithms, and cryptography implementation techniques are extracted. Since the complexity of the cryptography algorithm design is relatively high, the cybernetic methodology is used to present a supermodel to make the cryptography algorithm design objective. Such design prevents examining unnecessary details and establishes a bidirectional relationship between the main design and implementation process and the support process. This relationship provides the support requirements of the main process by the support process at each step. Finally, the Q-analysis tools are used to analyse the proposed method, and the efficiency results are represented.

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Section: Literature Reviewmentioning

confidence: 99%

Leveled Design of Cryptography Algorithms Using Cybernetic Methods for Using in Telemedicine Applications

Molk

Aref

Khorshid-Doust

2021

Computational Intelligence and Neuroscience

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“… Enter the resulted code through NIST frequency and serial tests.  If the resulted key pass in randomness tests, use it as the new session key [25].  Store the new generated session key in database to be used for next session.…”

Section: Session-key Generation Algorithmmentioning

confidence: 99%

“…Otherwise, it is failed and not ready for use. In this case, another key is generated and the whole test process is repeated [25]. Figure 7 shows the results of testing two keys.…”

Section: Nist Testsmentioning

confidence: 99%

Software engineering based secured E-payment system

Croock

Taaban

2021

IJECE

Self Cite

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Nowadays, the E-payment systems have been considered to be the safe way of money transfer in most of modern institutes and companies. Moreover, the security is important side of these systems to ensure that the money transfer is done safely. Software engineering techniques are used for guaranteeing the applying of security and privacy of such systems. In this paper, a secure E-payment system is proposed based on software engineering model and neural network technology. This system uses different proposed algorithms for applying authentication to the devices of users as mobile application. They are used to control the key management in the system. It uses the neural network back-propagation method for ensuring the security of generated keys that have sufficient random levels. The proposed system is tested over numerous cases and the obtained results show an efficient performance in terms of security and money transfer. Moreover, the generated keys are tested according to NIST standards.

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“…Software engineering methods enhance reliability across numerous applications [1]. Software development companies constantly strive to attract customers in a competitive environment, aiming to enhance the quality of their products through rigorous testing [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Pairwise test case generation with harmony search, one-parameter-at-at-time, seeding, and constraint mechanism integration

Aminu Muazu,

Hashim,

Maiwada

et al. 2024

IJECE

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Pairwise testing is a method for identifying defects through combinatorial analysis. It involves testing all possible combinations of input parameters in pairs within a system, ensuring that each pair is tested at least once. The field of test case generation is highly active in the realm of combinatorial interaction testing. Research in this area is particularly encouraged, as it falls under the category of non-deterministic polynomial-time hardness. A big challenge in this field is the combinatorial explosion problem. It is about finding the best test suite that covers all possible combinations of interaction strength. In this paper, we present the task of discovering a pairwise test set as a search problem and introduce an innovative testing tool referred to as pairwise test case generation in harmony search algorithm with seeding and constraint mechanism (PHOSC). Experimental results show that PHOSC performs better compared to some existing pairwise strategies in terms of test suite size. Additionally, PHOSC provides a comprehensive framework and serves as a research platform for the generation of pairwise test sets employing the harmony search algorithm. It adopts an approach that focuses on one parameter at a time (OPAT) and incorporates seeding and constraint mechanisms at the same time, thereby enhancing the efficiency and effectiveness of the testing process.

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Adaptive key generation algorithm based on software engineering methodology

Cited by 4 publications

References 12 publications

Leveled Design of Cryptography Algorithms Using Cybernetic Methods for Using in Telemedicine Applications

Leveled Design of Cryptography Algorithms Using Cybernetic Methods for Using in Telemedicine Applications

Software engineering based secured E-payment system

Pairwise test case generation with harmony search, one-parameter-at-at-time, seeding, and constraint mechanism integration

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