Enhanced Block Chain Financial Transaction Security Using Chain Link Smart Agreement based Secure Elliptic Curve Cryptography
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.10.06Keywords:
Decentralised, Blockchain, Security, Elliptic Curve Cryptography, information, Financial Data, authenticationDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Blockchain technology to offer transparency and Security within financial management in the banking industry. By building a financial data information collection, information exchange, and information security information Agreement mechanism to improve the efficiency of the existing financial control system, a more effective financial control mechanism can therefore be introduced, and through it, significantly drive down the cost of financial data, the audit cycle, and enhance the Security of information. The current problems of data security, inefficiency of low information, accelerated transactions, and the cost and exchange rate of information under traditional financial control systems, which are supposed to guarantee data integrity. The proposed method, Chain Link Smart Agreement based on Secure Elliptic Curve Cryptography (CLSA-SEC2), aims to generate a secure authentication key for data encryption and decryption. The initial step is Primary Key Node Generation (PKNG) for User Identity Verification, which transfers secure financial data into blocks.A decentralized blockchain divides each block of data into blocks stored at different locations. In chain-link aggregation to produce a unique key to each block series sequence, to ensure the process of communication and Transaction is secure under a decentralized block chain. And it validates the user transaction based on the Access Block Sequence Rate (ABSR) in data access. Build blocks are controlled by a key that is verified from the controller node. A Sequential Searchable Attribute Key (S2AK) is used to simplify the calculation of the user authentication phase’s cost. Lastly, its security analysis demonstrates that a decentralized block chain network will render the traditional system of centralised audit systems obsolete, providing digitally sealed and verified results of certification and enhancing financial transparency and Security.Abstract
How to Cite
Downloads
Similar Articles
- Amanda Q. Okronipa, Jones Y. Nyame, Adoption of health information systems in emerging economies: Evidence from Ghana , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Mohamed Azharudheen A, Vijayalakshmi V, Improvement of data analysis and protection using novel privacy-preserving methods for big data application , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Ayalew Ali, Cheirnet Demissie, The effect of financial literacy on the medium scale enterprise performance: Evidence from Bench Sheko zone , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Rekha Raghavendra, Shobha Gowda, Jissy Thomas, Fingerprint doorlock system using Arduino uno , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- D. Selvaraj, A study on sustainable technology development of fintech 5.0 in Indian industries , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- Muhammed Jouhar K. K., Dr. K. Aravinthan, An improved social media behavioral analysis using deep learning techniques , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Dileep Pulugu, Shaik K. Ahamed, Senthil Vadivu, Nisarg Gandhewar, U D Prasan, S. Koteswari, Empowering healthcare with NLP-driven deep learning unveiling biomedical materials through text mining , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- K. Sreenivasulu, Sampath S, Arepalli Gopi, Deepak Kartikey, S. Bharathidasan, Neelam Labhade Kumar, Advancing device and network security for enhanced privacy , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Zohra Bi, Abdul Hameed, Sogara Bi, Impact of the pandemic (COVID-19) on the financial performance of selected Indian telecommunication sector , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Y. Mohammed Iqbal, M. Mohamed Surputheen, S. Peerbasha, Swarm intelligence-driven HC2NN model for optimized COVID-19 detection using lung imaging , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- A. Basheer Ahamed, M. Mohamed Surputheen, M. Rajakumar, Quantitative transfer learning- based students sports interest prediction using deep spectral multi-perceptron neural network , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- K. Mohamed Arif Khan, A.R. Mohamed Shanavas, Energy efficient techniques for iot application on resource aware fog computing paradigm , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- J. Fathima Fouzia, M. Mohamed Surputheen, M. Rajakumar, Hybrid pigeon optimization-based feature selection and modified multi-class semantic segmentation for skin cancer detection (HPO-MMSS) , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- S. Mohamed Iliyas, M. Mohamed Surputheen, A.R. Mohamed Shanavas, Trust-based symmetric game theory for physical layer security in wi-fi communication , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- S. Munawara Banu, M. Mohamed Surputheen, M. Rajakumar, Bio-Inspired and Machine Learning-Driven Multipath Routing Protocol for MANETs Using Predictive Link Analytics , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- S. Munawara Banu, M. Mohamed Surputheen, M. Rajakumar, Enhanced AOMDV-based multipath routing approach for mobile ad-hoc network using ETX and ant colony optimization , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper

