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
- K. Akila, Location-specific trusted third-party authentication model for environment monitoring using internet of things and an enhancement of quality of service , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Adedotun Adedayo F, Odusanya Oluwaseun A, Adesina Olumide S, Adeyiga J. A, Okagbue, Hilary I, Oyewole O, Prediction of automobile insurance fraud claims using machine learning , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Sachin V. Chaudhari, Jayamangala Sristi, R. Gopal, M. Amutha, V. Akshaya, Vijayalakshmi P, Optimizing biocompatible materials for personalized medical implants using reinforcement learning and Bayesian strategies , The Scientific Temper: Vol. 15 No. 01 (2024): 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
- Thangatharani T, M. Subalakshmi, Development of an adaptive machine learning framework for real-time anomaly detection in cybersecurity , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Kumari Neha, Amrita ., Quantum programming: Working with IBM’S qiskit tool , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Muhammed Jouhar K. K., K. Aravinthan, A bigdata analytics method for social media behavioral analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Naveena Somasundaram, Vigneshkumar M, Sanjay R. Pawar, M. Amutha, Balu S, Priya V, AI-driven material design for tissue engineering a comprehensive approach integrating generative adversarial networks and high-throughput experimentation , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Rekha R., P. Meenakshi Sundaram, Enhanced malicious node identification in WSNs with directed acyclic graphs and RC4-based encryption , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- K. Gokulkannan, M. Parthiban, Jayanthi S, Manoj Kumar T, Cost effective cloud-based data storage scheme with enhanced privacy preserving principles , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
<< < 3 4 5 6 7 8 9 10 11 12 > >>
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

