TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Open Access Research Article

A holistic mathematical cyber security model in fog resource management in computing environments

, , , , , *

* Corresponding author · click or hover a name for details

pp. 1447–1456Vol. 26Issue 5August 2023DOI: 10.47974/JDMSC-1770 Crossmark XML
Published Online:
09 Sep 2023
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1770
Pages:
1447–1456

Abstract

Now a days Cloud computing isn’t common sense for some Internet of things applications, fog enrolling is every now and again used. Its proper methodology keeps an eye on the necessities of IoT and present-day IoT, as well as the enormous proportion of splendid data sensors and IoT gadgets, produce, which would be extreme and drawn-out to send off the cloud for dealing with and examination. Fog enrolling diminishes the information move limit required and reduces the unstable correspondence among sensors and the cloud, which can antagonistically impact IoT execution. Fog is exceptionally conveyed and comprises a wide number of independent end gadgets, which add to the handling. In any case, the range of gadgets presented across various clients is not examined. Consequently, the security of fog computing is a main pressing issue that ought to come into thought. Thusly, to give the vital security to fog computing, there is a need to comprehend what the security concerns are with respect to fog. Fog computing is a decentralized enlisting establishment where data, handling, storing, and applications are seen as some place near the data source and the cloud. Like edge enrolling, murkiness figuring brings the advantages and power of the cloud closer to where data is made and circled back to. With fog computing, close-by data amassing and examination of time-delicate data become more direct. With this the aggregate and the distance of data passed to the cloud are diminished, thus lessening the impact of well-being and security issues.

Keywords

Subject Classifications

Primary 93A30Secondary 49K15

References

[1] Kumar, S., Srivastava, P. K., Srivastava, Singh, D., & Goyal, D. Chaos based image encryption security in cloud computing. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1041-1051 (2022).
[2] Kamble, S., Saini, D. K. J., Verma, S., Tiwari, A., & Goyal, D. Detection and tracking of moving cloud services from video using saliency map model. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1083-1092 (2022).
[3] Kumar, S., Dubey, K. K., Gautam, Kumar, V., & Mamodiya, U.  Detection of recurring vulnerabilities in computing services. Journal of Discrete Mathematical Sciences and Cryptography, 25(4), 1063-1071 (2022).
[4] Kumar, S., Kumar, S., Ranjan, N., Tiwari & Rafsanjani, M. K. Digital watermarking-based cryptosystem for cloud resource provisioning. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-20 (2022). 
[5] Tiwari, Ashish, and Ritu Garg. “Adaptive Ontology-Based IoT Resource Provisioning in Computing Systems.” International Journal on Semantic Web and Information Systems (IJSWIS) 18, No. 1: 1-18 (2022).
[6] Rangaiah, Y. V., Sharma, A. K., Bhargavi, T., Chopra, M., Mahapatra, C., & Tiwari, A. A Taxonomy towards Blockchain based Multimedia content Security. In 2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT), pp. 1-4, (2022, December) IEEE.
[7] Rohinidevi, V. V., Srivastava, P. K., Dubey, N., Tiwari, S., & Tiwari, A. A Taxonomy towards fog computing Resource Allocation. In 2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT), pp. 1-5, (2022, December). IEEE.
[8] Singh, N. K., Jain, A., Arya, S., Gonzales, W. E. G., Flores, J. E. A., & Tiwari, A. Attack Detection Taxonomy System in cloud services. In 2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT), pp. 1-5, (2022, December). IEEE. 
[9] Tiwari, A., & Garg, R. Reservation System for Cloud Computing Resources (RSCC): Immediate Reservation of the Computing Mechanism. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1-22 (2022).
[10] Tiwari, A., & Garg, R. Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing: Lifeline of the Computing World. International Journal of Software Innovation (IJSI), 10(1), 1-28 (2022).
[11] Agrawal S, Agrawal J. Survey on anomaly detection using data mining techniques. Procedia Comput Sci. 60 : 708-13 (2015).
[12] Tiwari, Ashish, and Ritu Garg. “A Optimized Taxonomy on Spot Sale Services Using Mathematical Methodology.” International Journal of Security and Privacy in Pervasive Computing (IJSPPC) 14, No. 1, 1-21 (2022). 
[13] Tiwari, A., & Sharma, R. M. OCC: A Hybrid Multiprocessing Computing Service Decision Making Using Ontology System. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 16(4), 96-116 (2021).
[14] Tiwari, A., Sharma, V., & Mahrishi, M. Service adaptive broking mechanism using MROSP algorithm. In Advanced Computing, Networking and Informatics-Volume 2, pp. 383-391 (2014). Springer, Cham.
[15] Tiwari, A., Sharma, R. M., & Garg, R. Emerging ontology formulation of optimized internet of things (IOT) services with cloud computing. In Soft Computing: Theories and Applications, pp. 31-52 (2020). Springer, Singapore.
[16] Patcha A, Park J-M. An overview of anomaly detection techniques: existing solutions and latest technological trends. Comput Netw., 51(12) : 3448-70 (2007).
[17] Jiang M, Cui P, Faloutsos C. Suspicious behavior detection: current trends and future directions. IEEE Intell Syst., 31(1) : 31-9 (2016).
[18] Kaur, R., Jain, A., & Kumar, S. Optimization classification of sunflower recognition through machine learning. Materials Today: Proceedings, 51, 207-211 (2022).
[19] Kumar, S., Kumari, B., & Chawla, H. Security challenges and application for underwater wireless sensor network. In Proceedings on International Conference on Emerg, Vol. 2, pp. 15-21 (2018, October).

Views: 339Downloads: 72Citations: 2