Fraud Detection in Green Finance Using Machine Learning Techniques
Abstract
As green finance initiatives grow, ensuring transparency and mitigating fraud are critical for maintaining trust and achieving sustainable development goals. This paper presents a machine learning-based system for detecting fraud in green finance projects, focusing on anomalies in funding allocation and reporting. Using unsupervised learning techniques such as clustering and autoencoders, the system identifies irregularities in financial transactions and project documentation. A case study involving real-world green finance data demonstrated a 25% improvement in fraud detection accuracy compared to traditional methods. The findings contribute to SDG 16: Peace, Justice, and Strong Institutions, promoting accountability and integrity in sustainable finance.
References
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Artificial Intelligence-Driven Predictive Analytics for Educational Behavior Assessment. Transactions on Latest Trends in Artificial Intelligence, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/638
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Machine Learning Algorithms for Fraud Detection in Financial Transactions. International Journal of Sustainable Development in Computing Science, 2(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/639
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Deep Learning Techniques for Image Recognition in Autonomous Vehicles. (2021). International Meridian Journal, 3(3). https://meridianjournal.in/index.php/IMJ/article/view/94
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Integrating Machine Learning and Blockchain for Decentralized Identity Management Systems. (2021). International Journal of Machine Learning and Artificial Intelligence, 2(2). https://jmlai.in/index.php/ijmlai/article/view/46
Adusumilli, S., Damancharla, H., & Metta, A. (2022). Blockchain-Based Secure Framework for IoT Data Management. International Journal of Sustainable Development in Computing Science, 4(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/640
Adusumilli, S., Damancharla, H., & Metta, A. (2022). Optimizing Supply Chain Efficiency Through Blockchain and Smart Contracts. (2022). International Numeric Journal of Machine Learning and Robots, 6(6). https://injmr.com/index.php/fewfewf/article/view/183
Adusumilli, S., Damancharla, H., & Metta, A. (2023). Enhancing Data Privacy in Healthcare Systems Using Blockchain Technology. Transactions on Latest Trends in Artificial Intelligence, 4(4). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/637
Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2021). AI-Powered Cybersecurity Solutions for Threat Detection and Prevention. International Journal of Creative Research In Computer Technology and Design, 3(3).
Adusumilli, S. B. K., Damancharla, H., & Metta, A. R. (2020). Leveraging AI for Real-Time Sentiment Analysis in Social Media Networks. International Numeric Journal of Machine Learning and Robots, 4(4).
Dhaiya, S., Pandey, B. K., Adusumilli, S. B. K., & Avacharmal, R. (2021). Optimizing API Security in FinTech Through Genetic Algorithm based Machine Learning Model.
Manoharan, G., Mishra, A. B., Adusumilli, S. B. K., Chavva, M., Damancharla, H., & Lenin, D. S. (2024, May). Supervised Learning for Personalized Marketing Strategies. In 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (pp. 1-6). IEEE.
Adusumilli, S. B. K. (2024). SCALABLE SOFTWARE ARCHITECTURE FOR DYNAMIC THREAT DETECTION AND MITIGATION IN IOT. Machine Intelligence Research, 18(1), 468-481.
Whig, P., & krishna Adusumilli, S. B. (2024). Leveraging AI and Machine Learning for Optimizing Supply Chain Management in Healthcare: A Predictive and Prescriptive Approach. International Scientific Journal for Research, 6(6).
Sarkar, R., Malini, T. N., Adusumilli, S. B. K., Jena, M. S., & Patra, J. P. AI-INFUSED BLOCKCHAIN INNOVATIONS IN MANUFACTURING SUPPLY CHAINS FOR ECO-FRIENDLY PRACTICES TOWARDS A SUSTAINABLE FUTURE.
Whig, P., & Adusumilli, S. B. K. (2023). Enhancing Healthcare Delivery Through AI-Driven Supply Chain Innovations: A Case Study Perspective. International Transactions in Artificial Intelligence, 7(7).
Adusumilli, S. B. K. Mitigating Cybersecurity Risks in Embedded Systems A Software-First Approach.
Whig, P., & Adusumilli, S. B. K. (2022). Machine Learning Applications in Healthcare Supply Chains: Improving Efficiency, Resilience, and Patient Outcomes. Transactions on Recent Developments in Health Sectors, 5(5).
Adusumilli, S. B. K. (2023). TOWARDS ENERGY-EFFICIENT AIML INFERENCE ON EDGE DEVICES SOFTWARE SOLUTIONS AND CHALLENGES. Journal of Engineering Sciences, 14(11).
Avacharmal, R., Pamulaparthyvenkata, S., Pandiya, D. K., Prakash, R. K., Ranjan, P., Balakrishnan, A., & Maheswaran, S. (2024, June). Comprehensive investigation on Deep learning models: Applications, Advantages, and Challenges. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
Avacharmal, R., Balakrishnan, A., Ranjan, P., Vandanapu, M. K., Mulukuntla, S., & Preethi, P. (2024, June). Leveraging reinforcement learning for advanced financial planning for effective personalization in economic forecasting and savings strategies. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-4). IEEE.
Mohan, R., Boopathi, M., Ranjan, P., Najana, M., Chaudhary, P. K., & Chotrani, A. K. (2024). Ai in fraud detection: evaluating the efficacy of artificial intelligence in preventing financial misconduct. Journal of Electrical Systems, 20(3s), 1332-1338.
Malviya, R. K. (2024). Leveraging Aiml Ops for Fraud Detection and Prevention in Fintech. Ranjan, P., Dahiya, S., Singh, SK, & Choudhary, sk Enhancing Stock Price Prediction: a Comprehensive Analysis Utilizing Machine Learning and Deep Learning Approaches.
Ranjan, P., & Dahiya, S. (2021). Advanced threat detection in api security: Leveraging machine learning algorithms. International Journal of Communication Networks and Information Security, 13(1).
Seth, D., Najana, M., & Ranjan, P. (2024). Compliance and regulatory challenges in cloud computing: a sector-wise analysis. International Journal of Global Innovations and Solutions (IJGIS).
Chintale, P., Korada, L., Ranjan, P., & Malviya, R. K. (2019). Adopting Infrastructure as Code (IaC) for Efficient Financial Cloud Management. ISSN: 2096-3246, 51(04).
Dahiya, S., Singh, S. K., Choudhary, S. K., Ranjan, P., & Cognizant, N. J. (2020). Fundamentals of Digital Transformation in Financial Services: Key Drivers and Strategies. Han, X., Zhao, X., de Almeida, AL, Freitas, WDC, & Bai, W, 1655-1659.
Banerjee, P., Roy, R., Batchu, C., & Ranjan, P. (2023). Examining the Application of Data Federation across Cloud Databases in the Financial Services Domain. ESP Journal of Engineering & Technology Advancements (ESP JETA), 3(1), 148-153.
Chintala, S. (2024). Strategies for Enhancing Data Engineering for High Frequency Trading Systems. International IT Journal of Research, ISSN: 3007-6706, 2(3), 1-10.
Dodda, S., Chintala, S., Kanungo, S., Adedoja, T., & Sharma, S. (2024). Exploring AI-driven Innovations in Image Communication Systems for Enhanced Medical Imaging Applications. Journal of Electrical Systems, 20(3s), 949-959.
Chintala, S. Analytical Exploration of Transforming Data Engineering through Generative AI‖. International Journal of Engineering Fields, ISSN, 3078-4425.
Narani, S. R., Ayyalasomayajula, M. M. T., & Chintala, S. (2018). Strategies For Migrating Large, Mission-Critical Database Workloads To The Cloud. Webology (ISSN: 1735-188X), 15(1).
Chintala, S., Jindal, M., Mallreddy, S. R., & Soni, A. (2024). Enhancing Study Space Utilization at UCL: Leveraging IoT Data and Machine Learning. Journal of Electrical Systems, 20(6s), 2282-2291.
Ayyalasomayajula, M. M. T., Chintala, S., & Narani, S. R. INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING.
Chintala, S., Kunchakuri, N., Kamuni, N., & Dodda, S. (2024, October). Developing an Adaptive Educational Chatbot for Personalized SQL Tutoring. In 2024 International Conference on Computing, Sciences and Communications (ICCSC) (pp. 1-5). IEEE.
Dodda, S., Chintala, S., Kunchakuri, N., & Kamuni, N. (2024, October). Enhancing Microservice Reliability in Cloud Environments Using Machine Learning for Anomaly Detection. In 2024 International Conference on Computing, Sciences and Communications (ICCSC) (pp. 1-5). IEEE.
Chintala, S. (2023). Improving Healthcare Accessibility with AI-Enabled Telemedicine Solutions. International Journal of Research and Review Techniques, 2(1), 75-81.
Kamuni, N., Dodda, S., Chintala, S., & Kunchakuri, N. (2024, October). Optimizing Machine Translation: A Benchmarking Suite for Efficiency and Quality Enhancement. In 2024 International Conference on Computing, Sciences and Communications (ICCSC) (pp. 1-7). IEEE.
Patra, G. K., Kuraku, C., Konkimalla, S., Boddapati, V. N., Sarisa, M., & Reddy, M. S. (2024). An Analysis and Prediction of Health Insurance Costs Using Machine Learning-Based Regressor Techniques. Journal of Data Analysis and Information Processing, 12(4), 581-596.
Boddapati, V. N., Sarisa, M., Reddy, M. S., Sunkara, J. R., Rajaram, S. K., Bauskar, S. R., & Polimetla, K. (2022). Data migration in the cloud database: A review of vendor solutions and challenges. Available at SSRN 4977121.
Sarisa, M., Patra, G. K., Kuraku, C., Konkimalla, S., & Boddapati, V. N. (2024). Stock Market Prediction Through AI: Analyzing Market Trends With Big Data Integration. Manikanth Sarisa, Gagan Kumar Patra, Chandrababu Kuraku, Siddharth Konkimalla, Venkata Nagesh Boddapati.(2024). Stock Market Prediction Through AI: Analyzing Market Trends With Big Data Integration. Migration Letters, 21(4), 1846-1859.
Sarisa, M., Boddapati, V. N., Patra, G. K., Kuraku, C., & Konkimalla, S. (2022). Deep Learning Approaches To Image Classification: Exploring The Future Of Visual Data Analysis. Educational Administration: Theory and Practice, 28(4), 331-345.
Patra, G. K., Rajaram, S. K., Boddapati, V. N., Kuraku, C., & Gollangi, H. K. (2022). Advancing Digital Payment Systems: Combining AI, Big Data, and Biometric Authentication for Enhanced Security. International Journal of Engineering and Computer Science, 11(08), 10-18535.
Sarisa, M., Boddapati, V. N., Patra, G. K., Kuraku, C., Konkimalla, S., & Rajaram, S. K. (2020). An Effective Predicting E-Commerce Sales & Management System Based on Machine Learning Methods. Journal of Artificial Intelligence and Big Data, 1(1), 75-85.
Kuraku, C., Rajaram, S. K., Gollangi, H. K., Boddapati, V. N., & Patra, G. K. (2024). Advanced Encryption Techniques in Biometric Payment Systems: A Big Data and AI Perspective. Library Progress International, 44(3), 2447-2458.
Patra, G. K., Kuraku, C., Konkimalla, S., Boddapati, V. N., & Sarisa, M. (2023). Sentiment Analysis of Customer Product Review Based on Machine Learning Techniques in E-Commerce. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-408. DOI: doi. org/10.47363/JAICC/2023 (2), 389(1), 7211-7224.
Sarisa, M., Boddapati, V. N., Patra, G. K., Kuraku, C., Konkimalla, S., & Rajaram, S. K. (2020). Navigating the Complexities of Cyber Threats, Sentiment, and Health with AI/ML. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING (JRTCSE), 8(2), 22-40.
Sarisa, M., Boddapati, V. N., Patra, G. K., Kuraku, C., Konkimalla, S., & Rajaram, S. K. The power of sentiment: big data analytics meets machine learning for emotional insights. International Journal of Development Research, 10(10), 41565-41573.
Galla, E. P., Boddapati, V. N., Patra, G. K., Madhavaram, C. R., & Sunkara, J. (2023). AI-Powered Insights: Leveraging Machine Learning And Big Data For Advanced Genomic Research In Healthcare. Educational Administration: Theory and Practice.
Patra, G. K., Rajaram, S. K., & Boddapati, V. N. (2019). Ai And Big Data In Digital Payments: A Comprehensive Model For Secure Biometric Authentication. Educational Administration: Theory and Practice.
Boddapati, V. N., Galla, E. P., Sunkara, J. R., Bauskar, S. R., Patra, G. K., Kuraku, C., & Madhavaram, C. R. (2021). Harnessing the Power of Big Data: The Evolution of AI and Machine Learning in Modern Times. ESP Journal of Engineering & Technology Advancements, 1(2), 134-146.
Mandala, V., Avacharmal, R., Chintale, P., Malviya, R. K., Vandanapu, M. K., & Boddapati, V. N. (2025). Intelligent Bankruptcy Prediction using Cutting-Edge N-Valued Interval Neutrosophic Sets for Classification. International Journal of Neutrosophic Science, 25(2), 10-54216.
Boddapati, V. N. (2023). Voice Classification in AI: Harnessing Machine Learning for Enhanced Speech Recognition. Available at SSRN.
Galla, E. P., Gollangi, H. K., Boddapati, V. N., Sarisa, M., Polimetla, K., Rajaram, S. K., & Reddy, M. S. (2023). Prediction of Financial Stock Market Based on Machine Learning Technique. Eswar Prasad G, Hemanth Kumar G, Venkata Nagesh B, Manikanth S, Kiran P, et al.(2023) Prediction of Financial Stock Market Based on Machine Learning Technique. J Contemp Edu Theo Artific Intel: JCETAI-102.
Galla, E. P., Gollangi, H. K., Boddapati, V. N., Sarisa, M., Polimetla, K., Rajaram, S. K., & Reddy, M. S. (2023). Enhancing Performance of Financial Fraud Detection Through Machine Learning Model. Eswar Prasad G, Hemanth Kumar G, Venkata Nagesh B, Manikanth S, Kiran P, et al.(2023) Enhancing Performance of Financial Fraud Detection Through Machine Learning Model. J Contemp Edu Theo Artific Intel: JCETAI-101.
Madhavram, C., Boddapati, V. N., Galla, E. P., Sunkara, J. R., & Patra, G. K. (2023). AI-Powered Insights: Leveraging Machine Learning And Big Data For Advanced Genomic Research In Healthcare. Available at SSRN 5029402.
Eswar Prasad, G., Hemanth Kumar, G., Venkata Nagesh, B., Manikanth, S., & Kiran, P. (2023). Prediction of Financial Stock Market Based on Machine Learning Technique. J Contemp Edu Theo Artific Intel: JCETAI-102.
Boddapati, V. N. (2022). Deep Learning Approaches To Image Classification: Exploring The Future Of Visual Data Analysis. Available at SSRN 4977119.
Bauskar, S., Boddapati, V. N., Sarisa, M., Reddy, M., Sunkara, J. R., Rajaram, S. K., & Polimetla, K. (2022). Data Migration in the Cloud Database: A Review of Vendor Solutions and Challenges. Available at SSRN 4988789.
Galla, E. P., Madhavaram, C. R., & Boddapati, V. N. (2021). Big Data And AI Innovations In Biometric Authentication For Secure Digital Transactions. Available at SSRN 4980653.
Bauskar, S., Boddapati, V. N., Galla, E. P., Bauskar, S. R., Patra, G. K., Kuraku, C., & Madhavram, C. (2021). Harnessing the Power of Big Data: The Evolution of AI and Machine Learning in Modern Times. Available at SSRN 4988863.
Madhavram, C., Galla, E. P., & Boddapati, V. N. (2021). View of Big Data And AI Innovations In Biometric Authentication For Secure Digital Transactions. Available at SSRN 5029395.
Boddapati, Venkata Nagesh and Sarisa, Manikanth and Patra, Gagan Kumar and Kuraku, Chandrababu and Konkimalla, Siddharth and Rajaram, Shravan Kumar, An Effective Predicting E-Commerce Sales & Management System Based on Machine Learning Methods (December 20, 2020).
Boddapati, V. N., Sarisa, M., Reddy, M. S., Sunkara, J. R., Rajaram, S. K., Bauskar, S. R., & Polimetla, K. (2022). Data migration in the cloud database: A review of vendor solutions and challenges. Available at SSRN 4977121.
Patra, G. K., Kuraku, C., Konkimalla, S., Boddapati, V. N., Sarisa, M., & Reddy, M. S. (2024). An Analysis and Prediction of Health Insurance Costs Using Machine Learning-Based Regressor Techniques. Journal of Data Analysis and Information Processing, 12(4), 581-596.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Echoes in Pixels: The intersection of Image Processing and Sound detection through the lens of AI and Ml. International Journal of Development Research, 10(08), 39735-39743.
Reddy, M. S., Sarisa, M., Konkimalla, S., Bauskar, S. R., Gollangi, H. K., Galla, E. P., & Rajaram, S. K. (2021). Predicting tomorrow’s Ailments: How AI/ML Is Transforming Disease Forecasting. ESP Journal of Engineering & Technology Advancements, 1(2), 188-200.
Patra, G. K., Kuraku, C., Konkimalla, S., Boddapati, V. N., & Sarisa, M. (2023). Sentiment Analysis of Customer Product Review Based on Machine Learning Techniques in E-Commerce. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-408. DOI: doi. org/10.47363/JAICC/2023 (2), 389(1), 7211-7224.
Rajaram, S. K., Konkimalla, S., Sarisa, M., Gollangi, H. K., Madhavaram, C. R., & Reddy, M. S. (2023). AI/ML-Powered Phishing Detection: Building an Impenetrable Email Security System. ISAR Journal of Science and Technology, 1(2), 10-19.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Unveiling the Hidden Patterns: AI-Driven Innovations in Image Processing and Acoustic Signal Detection. JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING (JRTCSE), 8(1), 25-45.
Gollangi, H. K., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., Sunkara, J. R., & Reddy, M. S. (2020). Exploring AI Algorithms for Cancer Classification and Prediction Using Electronic Health Records. Journal of Artificial Intelligence and Big Data, 1(1), 65-74.
Mahida, A., Mandala, V., Bauskar, S. R., Konkimalla, S., & Reddy, M. S. (2024). Real-Time Fraud Mitigation in Digital Payments: Big Data and AI-Driven Biometric Authentication. Nanotechnology Perceptions, 1176-183.
Sunkara, J. R., Bauskar, S. R., Madhavaram, C. R., Galla, E. P., & Gollangi, H. K. (2023). An Evaluation of Medical Image Analysis Using Image Segmentation and Deep Learning Techniques. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-407. DOI: doi. org/10.47363/JAICC/2023 (2), 388, 2-8.
Reddy, M. S., & Kumar, K. (2024). Exploring the Transformative Impact of Fintech on Banking, Finance and Insurance Industries. Interantional J. Sci. Res. Eng. Manag, 8(04), 1-5.
Mukkamala, S. S. K., Mahida, A., & Vishwanadham Mandala, M. S. (2024). Leveraging AI And Big Data For Enhanced Security In Biometric Authentication: A Comprehensive Model For Digital Payments. Migration Letters, 21(8), 574-590.
Galla, E. P., Gollangi, H. K., Boddapati, V. N., Sarisa, M., Polimetla, K., Rajaram, S. K., & Reddy, M. S. (2023). Prediction of Financial Stock Market Based on Machine Learning Technique. Eswar Prasad G, Hemanth Kumar G, Venkata Nagesh B, Manikanth S, Kiran P, et al.(2023) Prediction of Financial Stock Market Based on Machine Learning Technique. J Contemp Edu Theo Artific Intel: JCETAI-102.
Galla, E. P., Gollangi, H. K., Boddapati, V. N., Sarisa, M., Polimetla, K., Rajaram, S. K., & Reddy, M. S. (2023). Enhancing Performance of Financial Fraud Detection Through Machine Learning Model. Eswar Prasad G, Hemanth Kumar G, Venkata Nagesh B, Manikanth S, Kiran P, et al.(2023) Enhancing Performance of Financial Fraud Detection Through Machine Learning Model. J Contemp Edu Theo Artific Intel: JCETAI-101.
Bauskar, S., Boddapati, V. N., Sarisa, M., Reddy, M., Sunkara, J. R., Rajaram, S. K., & Polimetla, K. (2022). Data Migration in the Cloud Database: A Review of Vendor Solutions and Challenges. Available at SSRN 4988789.
Madhavaram, C. R., Galla, E. P., Reddy, M. S., Sarisa, M., & Nagesh, V. (2021). Predicting Diabetes Mellitus in Healthcare: A Comparative Analysis of Machine Learning Algorithms on Big Dataset. Journal homepage: https://gjrpublication. com/gjrecs, 1(01).
Galla, P., Sunkara, R., & Reddy, S. (2020). ECHOES IN PIXELS: THE INTERSECTION OF IMAGE PROCESSING AND SOUND DETECTION THROUGH THE LENS OF AI AND ML.
Bauskar, S. R., Reddy, M. S., Sarisa, M., & KONKIMALLA, S. The Future of Cloud Computing_ Al-Driven Deep Learning and Neural Network Innovations. BUDHA PUBLISHER.
Konkimalla, S., SARISA, M., REDDY, M. S., & BAUSKAR, S. DATA ENGINEERING IN THE AGE OF AI GENERATIVE MODELS AND DEEP LEARNING UNLEASHED. BUDHA PUBLISHER.
