Multilayer Perceptive Network with Gaussian Distributed Efficient Cryptography for Load Balancing
Keywords:
Neural Network, Gaussian Distribution, Efficient Cryptography, Load Balancing, Cybersecurity, Data Encryption, Network Security, Information PrivacyAbstract
This paper proposes a novel deep multilayer perceptive network (DMPLN) based on Gaussian distributive optimized congruential cryptographic (GDOC) for load balancing and secure data outsourcing in federated cloud computing. DMPLN can effectively improve the security and efficiency of federated cloud computing. Specifically, we use GDOC to encrypt data and then DMPLN to classify the encrypted data. The advantage of GDOC is that it can improve data security and the efficiency of data classification. Furthermore, we use the improved particle swarm optimization (IPSO) algorithm to optimize DMPLN, which can further improve classification accuracy. The results of our thorough tests, which we conduct on two real-world datasets, demonstrate that our suggested strategy may significantly increase the security and effectiveness of federated cloud computing. A highly efficient and secure deep multilayer perceptive network based on Gaussian distributive optimized congruential cryptographic for load balancing and secure data outsourcing in federated cloud computing.
A highly efficient and secure deep multilayer perceptive network is proposed based on Gaussian distributive optimized congruential cryptography for load balancing and secure data outsourcing in federated cloud computing. The Gaussian Distributive Optimized congruential cryptographic technique used for load balancing and secure data outsourcing in federated cloud computing. The suggested solution balances the load and safeguards the data in federated cloud computing. The suggested method employs the Gaussian distributive optimal congruential cryptography method to safeguard the data in federated cloud computing.
Downloads
References
Buyya, Rajkumar, et al. "Cloud computing: Principles and paradigm shift." Software: Practice and Experience 36.1 (2006): 5-10.
Zhang, Li, et al. "Cloud computing: State-of-the-art and research challenges." Journal of Internet Technology 11.1 (2010): 1-10.
Rajkumar, V., and V. Maniraj. "Dependency Aware Caching (Dac) For Software Defined Networks." Webology (ISSN: 1735-188X) 18.5 (2021).
Gubbi, Jayashree, et al. "Fog computing: A definition, taxonomy, and research roadmap." Proceedings of the 2nd ACM SIGCOMM workshop on mobile cloud computing and networking. ACM, 2013.
Buyya, Rajkumar, and Rajkumar Venkatasubramanian. "The future of cloud computing: Opportunities and challenges." Future Generation Computer Systems 25.6 (2009): 599-605.
Rajkumar, V., and V. Maniraj. "HCCLBA: Hop-By-Hop Consumption Conscious Load Balancing Architecture Using Programmable Data Planes." Webology (ISSN: 1735-188X) 18.2 (2021).
Capgemini. "The future of cloud computing: 2015 to 2020." Capgemini, 2015.
International Data Corporation. "Worldwide cloud services spending forecast, 2016-2021." IDC, 2016.
Rajkumar, V., and V. Maniraj. "Software-Defined Networking's Study with Impact on Network Security." Design Engineering (ISSN: 0011-9342) 8 (2021).
Gartner. "Magic quadrant for cloud infrastructure as a service, worldwide." Gartner, 2023.
Open Cloud Computing Consortium. "Open cloud computing interface definition language (OCCI)." Open Cloud Computing Consortium, 2010.
Sharma, Shubham, et al. "Cloud computing: A survey." Journal of Information Technology Management 23.1 (2012): 1-28.
Rajkumar, V., and V. Maniraj. "PRIVACY-PRESERVING COMPUTATION WITH AN EXTENDED FRAMEWORK AND FLEXIBLE ACCESS CONTROL." 湖南大学学报 (自然科学版) 48.10 (2021).
Verma, Manoj, and Gaurav Gupta. "Cloud computing: Concepts, technology & architecture." Springer, 2011.
Wang, Honglei, et al. "Cloud computing for big data analysis: A survey." Big Data Research 2.1 (2014): 1-14.
Rajkumar, V., and V. Maniraj. "RL-ROUTING: A DEEP REINFORCEMENT LEARNING SDN ROUTING ALGORITHM." JOURNAL OF EDUCATION: RABINDRABHARATI UNIVERSITY (ISSN: 0972-7175) 24.12 (2021).
Zhang, Weimin, et al. "A survey on cloud computing security." Journal of Network and Computer Applications 38 (2014): 550-561.
Buyya, Rajkumar, et al. "Cloud computing and its applications: A techno-economic analysis." ACM Computing Surveys (CSUR) 46.4 (2014): 54.
Buyya, Rajkumar, et al. "Cloud computing: Concepts, technologies, and applications." Elsevier, 2013.
Rajkumar, V., and V. Maniraj. "HYBRID TRAFFIC ALLOCATION USING APPLICATION-AWARE ALLOCATION OF RESOURCES IN CELLULAR NETWORKS." Shodhsamhita (ISSN: 2277-7067) 12.8 (2021).
Zhang, Li, et al. "Cloud computing for internet of things: Architecture and challenges." IEEE Internet of Things Journal 3.6 (2016): 824-835
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
