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International Journal for Research Trends and Innovation
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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 : 19463
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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Published Paper Details
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| Paper Title: | Advanced GPS Signal Integrity Verification Using Neural Network Anomaly Detection |
| Authors Name: | Davala Swapna , Mycherla Hakshaya , Patnaikuni Siri Keerthika , Chinthapalli Sravanthi , Dalli Sravika |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_203073
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| Published Paper Id: | IJRTI2504258 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i4.203073 |
| Abstract: | Modern navigation systems based on satellites become vulnerable to attacks when attackers transmit bogus signals to misguide systems about their position. A detection system for GPS spoofing attacks during real-time operations uses a dual algorithm composed of Random Forest and Artificial Neural Networks (ANN). The training process requires the algorithm to operate on simulated GPS-SDR-SIM software data containing vital measurement elements such as pseudorange together with carrier phase measurements along with Doppler shift parameters. Once features are extracted and normalized the Random Forest classifier operates first which leads to a 98.88% final detection accuracy through refinement in a two-hidden-layer neural network. The developed Flask-based web application enables both individual inputs using a form and bulk import through file upload functionalities for analysis execution. The system presents real-time voice and email notifications about spoofed signals to users for building their awareness. Experimental tests prove the system's high reliability standard while establishing its viable application scenario for defense purposes and transportation sites and financial network implementations. |
| Keywords: | Flask Web Application, GPS Spoofing, Machine Learning, Neural Networks, Random Forest, Real-Time Detection. |
| Cite Article: | "Advanced GPS Signal Integrity Verification Using Neural Network Anomaly Detection", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c306-c311, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504258.pdf |
| Downloads: | 000357 |
| ISSN: |
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: IJRTI2504258
Registration ID:203073
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i4.203073
Page No: c306-c311 Country: VISAKHAPATNAM, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504258 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504258 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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