A Review of Online Donation Platforms
Abstract
Online donation platforms have become indispensable instruments in the digital age, enabling effective and clear-cut transactions among donors and recipients. This review critically analyzes two research papers dealing with the design and deployment of web-based systems for managing donations, discussing their methodologies, system architectures, and technical designs. Salient features like security protocols, verification mechanisms, compliance with accessibility, and data integrity are elaborately discussed. The
results underscore the need for strong authentication mechanisms, well-organized database management, and scalable application design in guaranteeing reliability and donor participation.
Keywords:
RBAC security, API authentication, AI fraud detection, Predictive analytics, TLS encryptionPublished
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Anu Rose Joy, An overview of Fake News DetectionusingBidirectional Long Short-TermMemory(BiLSTM)Models , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Elisabeth Thomas, Arjun Saji, Aswin M S, Augustine Salas, Emil Viju, A Comprehensive Review of Advancing Cattle Monitoring and Behavior Classification using Deep Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Sandra Saji, Melbin Mathew, Angel Mariya S, Amrutha Mugesh, Jincy Lukose, MACHINE LEARNING FOR DETECTION AND PREDICTION OF TOMATO LEAF DISEASES , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Sebastian Biju, Samuel Michael, Thomas Mathew Jose, Mathew Abraham, Minu Cherian, A Review of Machine Learning Approaches for Canine Skin Disease Detection Using Image Processing Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Aksa Ann Jacob, Midhun P Mathew, Adarsh S, Aaron Tom Viji, Aleena Varghese, A STUDY ON DISEASE DETECTION AND REMEDY IDENTIFICATION IN LEAVES , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Dr.Sinciya P O, Evelyn Susan Jacob, Steve Alex, Cybersecurity Challenges and Solutions in Edge Computing for IoT , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- NS AkhilRaj, Snehil Jacob Raju, John Basil Varghese, Sreeraj K S, Yadukrishnan P, Directio-AR Assisted ShopMate , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jefrin Siby Mathew, Joyal Joseph, Roshik George, Tinu Rose Thottungal , Honey Joseph, Multiple Disease Detection using Machine Learning , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Mrs. Lis Jose, Akhil Lorence, Akhil Manohar, Amal Jose Chacko, Arjun J, Lung Disease Detection From Chest X-ray Images Using Hybrid Machine Learning Model , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Ansamol Varghese, Anoushkha Tresa, Athira John, Ignatious Ealias Roy, M S Gautham Sankar, A Machine Learning Approach to Fake News Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.
