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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19445
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
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| Paper Title: | Secure Federated AI for Multi-Hazard Detection-A Review |
| Authors Name: | Poornima S , Abitha Begam M , Dharshini K , Akshaya P , Yuvasri P |
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IJRTI_206530
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| Published Paper Id: | IJRTI2510002 |
| Published In: | Volume 10 Issue 10, October-2025 |
| DOI: | |
| Abstract: | In the last few years, many researchers have been working in the field of disaster prediction. The use of IoT together with artificial intelligence is one major area which supports the development of early warning systems. Here, devices like rainfall gauges, water level monitors, smoke alarms, and earthquake sensors are used to provide real-time information.. When all this data is handled only through a central system, problems like privacy loss, less security, and lack of trust may happen. Federated Learning (FL) helps in reducing this issue because the training is done locally, and instead of sending the full raw data, only the updates are passed.. Even then, FL alone is not fully safe because it may face harmful updates and wrong results. Blockchain can be applied here, since it stores the updates in a secure and transparent way, which protects the data and improves trust. The early prediction of disasters and proper analysis are needed to reduce loss and damage. In this paper, the study discuss a review of the methods and techniques suggested by researchers by combining Blockchain and FL in the field of disaster prediction. |
| Keywords: | Keywords: Federated Learning, Blockchain, IoT, Disaster Prediction, Early Warning |
| Cite Article: | "Secure Federated AI for Multi-Hazard Detection-A Review", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 10, page no.a8-a13, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510002.pdf |
| Downloads: | 000197 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2510002
Registration ID:206530
Published In: Volume 10 Issue 10, October-2025
DOI (Digital Object Identifier):
Page No: a8-a13 Country: TENKASI, TAMILNADU, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2510002 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2510002 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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