A Review On The Secured Transitions In Financial Institutions Using Iot Big Data
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Abstract
In the present era, the applications of the internet are increasing. The enhanced applications of this internet have created the illusion of doing well to the user. But in reality, even small security vulnerabilities on the internet can lead to large-scale scams and hacking activities. All the information is hacked before these functions are detected. Even so, owning one is still beyond the bravery of the average person. The current cross-transaction problems of financial institutions pose a challenge to its security management. Thus, those financial institutions are forced to face the economic crisis globally. This paper explains in detail the cross-transaction problems faced by financial institutions. And cross transaction problems can be found not only in financial institutions but also in detail what kind of problems it creates for its customers and how its preventive measures provide better protection. We will also look in detail at some of the strategies that financial institutions can easily use to secure transactions of big data blocks using secured IoT methods.
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References
Li, S., Liu, X., & Li, C. (2022). Research on Risk Prediction Model of Internet Finance Based on Cloud Computing. Journal of Mathematics, 2022.
Dr.S.Brindha, “Smart Aquatic Based Predictive Techniques Of Water Quality Management Using IOT”, Drugs and Cell Therapies in Hematology, 10(3), 306–311.
https://www.dcth.org/index.php/journal/article/view/510
Zhang, W., Yan, S., Li, J., Tian, X., & Yoshida, T. (2022). Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data. Transportation Research Part E: Logistics and Transportation Review, 158, 102611.
Dalal, R.S., Howard, D.J., Bennett, R.J. et al. Organizational science and cyber security: abundant opportunities for research at the interface. J Bus Psychol 37, 1–29 (2022). https://doi.org/10.1007/s10869-021-09732-9
Wang, L. (2022). Imbalanced credit risk prediction based on SMOTE and multi-kernel FCM improved by particle swarm optimization. Applied Soft Computing, 114, 108153.
Dr.S.Brindha, “IOT Based Emotional sensor system to predict the patients Information Using Bioscience Technology”, Bioscience Biotechnology Research Communications(BBRC), Vil 14. No.07, 2021 pp.469-471.
B. Vedral, "The Vulnerability of the Financial System to a Systemic Cyber attack," 2021 13th International Conference on Cyber Conflict (CyCon), 2021, pp. 95-110,
doi: 10.23919/CyCon51939.2021.9468291.
M. M. Rana and N. Dahotre, "IoT-Based Cyber-Physical Additive Manufacturing Systems: A Secure Communication Architecture, Research Challenges and Directions," 2021 6th International Conference on Inventive Computation Technologies (ICICT), 2021, pp. 216-219,
doi: 10.1109/ICICT50816.2021.9358643.
Dr.S.Brindha and T.Ajisha, “ An Efficient Ensemble Classifier for Heart Disease Diagnosis and early Prediction”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-9 Issue-4, PP 109-114, November 2020.
R.Lingeswari and Dr.S.Brindha “ Analysing and classification of Attacks in Financial Transactions using Machine Learning”, Inter National Conference on Innovative Technologies and their Applications in Higher Education-Science. ISBN No. 978-93-92042-31-7, October 2022.
Narendra, K., &Aghila, G. (2020). Securing Online Bank's Big Data Through Block Chain Technology: Cross-Border Transactions Security and Tracking. In Security, Privacy, and Forensics Issues in Big Data (pp. 247-263). IGI Global.
Dr.S.Brindha and N. K. Sakthivel, “Virtual Machine Dynamic Migration Strategy based Intelligent Flow Forecast Technique for Cloud Data Centers”, International Journal of Emerging Technologies and Innovative Research (IJETIR), Volume 6, Issue 4, Pp 368-376, April-2019.
Dr.S.Brindha, Dr.N.K.Sakthivel , “IFF-DCN : An Intelligent Flow Forecast Technique for Distributed Centre Networks in Cloud Data Centers International Journal of Engineering and Technology(UAE), - SCOPUS ISSN 2227-524X . H index – 1.
Dr.S.Brindha, Dr.N.K.Sakthivel, Elastic Multi-Controller based BCube Connected Crossbars (BCCC) for Higher Energy Efficiency” International Journal of Advanced Research in Engineering – SCOPUS Journal (CC BY-SA 4.0) & Index Copernicus IC Value 82.67. ISSN 0973-4562.
N. T. Cyriac and L. Sadath, "Is Cyber Security Enough- A study on Big Data Security Breveryes in Financial Institutions," 2019 4th International Conference on Information Systems and Computer Networks (ISCON), 2019, pp. 380-385, doi: 10.1109/ISCON47742.2019.9036294.
Z. S. Zainudin and N. Nuha Abdul Molok, "Advanced Persistent Threats Awareness and Readiness: A Case Study in Malaysian Financial Institutions," 2018 Cyber Resilience Conference (CRC), 2018, pp. 1-3, doi: 10.1109/CR.2018.8626835.
Ms. S. Brindha and N. K. Sakthivel, “G-SRP: Genetic based Secured Routing Protocol for Cloud-Assisted Ad Hoc Networks in Green Data Centers,” Proceedings of Third International Conference on Computing Paradigms, Integrated Intelligent Research(IIR). 2017.
R.Lingeswari and Dr.S.Brindha “VALIDATION OF BLOCKCHAIN TRANSACTION IN BANKING SECTOR” HUMANITIES AND SOCIAL SCIENCE STUDIES, VOL. 12 ISSUE (1) NO 09 JANUARY – JUNE : 2023, ISSN 2319-829X
Ravi, V., & Kamaruddin, S. (2017, December). Big data analytics enabled smart financial services: opportunities and challenges. In International Conference on Big Data Analytics (pp. 15-39). Springer, Cham.
T. M. Mbelli and B. Dwolatzky, "Cyber Security, a Threat to Cyber Banking in South Africa: An Approach to Network and Application Security," 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud), 2016, pp. 1-6, doi: 10.1109/CSCloud.2016.18.
C. Jobin Pinks Anand, B. Bhuvaneshwari, S. Brindha “An Efficient Migration of Data in Mobile Access for Multiple Virtual Server through online Vs offline” Indian Journal of Emerging Electronics in Computer Communications Vol.3, Issue 2 (2016) Page.577-587 ISSN: 2393-8366.
A. K. Sood, S. Zeadally and R. J. Enbody, "An Empirical Study of HTTP-based Financial Botnets," in IEEE Transactions on Dependable and Secure Computing, vol. 13, no. 2, pp. 236-251, 1 March-April 2016, doi: 10.1109/TDSC.2014.2382590.
R.Lingeswari and Dr.S.Brindha “ Identification of Vulnerability During Cross Border Transaction in IoT” Jounal of Harbin Engineering University. ISSN-1006-7043 , Vol 44 No 9 Issue September ,2023.