Welcome to Scholar Publishing Group

Distributed Processing System, 2022, 3(4); doi: 10.38007/DPS.2022.030403.

Design of Distributed Database System Based on Improved DES Algorithm

Author(s)

Hexiang Wang

Corresponding Author:
Hexiang Wang
Affiliation(s)

Nantong Institute of Technology, Nantong, China

Abstract

With the development of information technology, distributed storage, as an advanced and efficient data processing technology, plays an important role in information management system. This paper designs a visualization system based on DES algorithm. This system manages and allocates resources to users. First, analyze the requirements from the database, and then classify them into users, administrators and other roles according to the actual situation and establish the corresponding structure to realize the control of role permissions. Finally, through the establishment of the corresponding model, the function of the distributed database system is improved, and the security of the system is tested through the simulation experiment. The experimental results show that the distributed database system based on the improved DES algorithm can read the requested data within 10s, and the success rate of intercepting and decrypting operations is more than 90%. This shows that the algorithm performs well in the security of the protection system.

Keywords

DES Improved Algorithm, Distributed Data, Database System, System Design

Cite This Paper

Hexiang Wang. Design of Distributed Database System Based on Improved DES Algorithm. Distributed Processing System (2022), Vol. 3, Issue 4: 19-27. https://doi.org/10.38007/DPS.2022.030403.

References

[1] Kun-Chih Jimmy Chen, Masoumeh Ebrahimi:Chapter Five - Routing algorithm design for power- and temperature-aware NoCs. Adv. Comput. 124: 117-150 (2022).

[2] Jehad Ababneh, Majid Khodier:Design and Optimization of Enhanced Magnitude and Phase Response IIR Full-Band Digital Differentiator and Integrator Using the Cuckoo Search Algorithm. IEEE Access 10: 28938-28948 (2022).

[3] Mohammad A. R. Abdeen, Mohamed Hossam Ahmed, Hafez Seliem, Tarek Rahil Sheltami, Turki M. Alghamdi, Mustafa El-Nainay:A Novel Smart Ambulance System - Algorithm Design, Modeling, and Performance Analysis. IEEE Access 10: 42656-42672 (2022).

[4] Ehsan Akbari, Morteza Mollajafari, Hamza Mohammed Ridha Al-Khafaji, Hussein Alkattan, Mostafa Abotaleb, Mahdiyeh Eslami, Sivaprakasam Palani:Improved Salp Swarm Optimization Algorithm for Damping Controller Design for Multimachine Power System. IEEE Access 10: 82910-82922 (2022).

[5] Ipek ÇetinbaS, Bünyamin Tamyürek, Mehmet Demirtas:The Hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm: A New Hybrid Algorithm for Sizing Optimization and Design of Microgrids. IEEE Access 10: 19254-19283 (2022).

[6] B. Deepa, M. Murugappan, M. G. Sumithra, Mufti Mahmud, Mabrook S. Al-Rakhami:Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm. IEEE Access 10: 3848-3863 (2022).

[7] Abeer S. Desuky, Mehmet Akif Cifci, Samina Kausar, Sadiq Hussain, Lamiaa M. El Bakrawy:Mud Ring Algorithm: A New Meta-Heuristic Optimization Algorithm for Solving Mathematical and Engineering Challenges. IEEE Access 10: 50448-50466 (2022).

[8] Bahram Mahjoob Karambasti, Mohamad Naghashzadegan, Maryam Ghodrat, Ghadir Ghorbani, Roy B. V. B. Simorangkir, Ali Lalbakhsh:Optimal Solar Greenhouses Design Using Multiobjective Genetic Algorithm. IEEE Access 10: 73728-73742 (2022).

[9] Marcio Nunes De Miranda, Daniel Ratton Figueiredo, Daniel Frazão Luiz, Celso Barbosa Carvalho, Daniel Sadoc Menasché:Design and Analysis of Distributed Tree Growing Algorithms. IEEE Access 10: 26580-26602 (2022).

[10] Kubilay Savci:A Limited Memory BFGS Based Unimodular Sequence Design Algorithm for Spectrum-Aware Sensing Systems. IEEE Access 10: 77011-77029 (2022).

[11] Samuel A. Ajila, Chung-Horng Lung, Anurag Das:Analysis of error-based machine learning algorithms in network anomaly detection and categorization. Ann. des Télécommunications 77(5-6): 359-370 (2022).

[12] Angeliki Koutsimpela, Konstantinos D. Koutroumbas:A new stochastic gradient descent possibilistic clustering algorithm. AI Commun. 35(2): 47-64 (2022).

[13] Pamela Ugwudike:AI audits for assessing design logics and building ethical systems: the case of predictive policing algorithms. AI Ethics 2(1): 199-208 (2022).

[14] Mahdi Azizi, Siamak Talatahari:Improved arithmetic optimization algorithm for design optimization of fuzzy controllers in steel building structures with nonlinear behavior considering near fault ground motion effects. Artif. Intell. Rev. 55(5): 4041-4075 (2022).

[15] Antonin Descampe, Clément Massart, Simon Poelman, François-Xavier Standaert, Olivier Standaert:Automated news recommendation in front of adversarial examples and the technical limits of transparency in algorithmic accountability. AI Soc. 37(1): 67-80 (2022).

[16] Mustapha Anwar Brahami, Mohammed Dahane, Mehdi Souier, M'Hammed Sahnoun:Sustainable capacitated facility location/network design problem: a Non-dominated Sorting Genetic Algorithm based multiobjective approach. Ann. Oper. Res. 311(2): 821-852 (2022).

[17] Soheyl Khalilpourazari, Hossein Hashemi Doulabi:Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec. Ann. Oper. Res. 312(2): 1261-1305 (2022).

[18] Rakesh Prakash, Jitamitra Desai, Rajesh Piplani:An optimal data-splitting algorithm for aircraft sequencing on a single runway. Ann. Oper. Res. 309(2): 587-610 (2022).