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A Federated AI-IoT-Cloud Framework for Enforcing Child Protection Laws Against Digital Crimes in the Modern Cyber Ecosystem
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Author(s): Hitesh Rawat (University of Extremadura, Spain), Chandrapal Singh Dangi (Manipal University Jaipur, India), Manoj Dhawan (Avantika University, Ujjain, India), Vishwas Dixit (Shri Vaishnav Vidyapeeth Vishwavidyalaya, India)and Anjali Rawat (University of Extremadura, Spain)
Copyright: 2026
Pages: 20
Source title:
Child Protection Laws and Crime in the Digital Era
Source Author(s)/Editor(s): Romil Rawat (LabGeoInf-Research LABoratory in GEOmatics and INFormation systems, National Research Council in Italy, Rome, Italy), Sanjaya Kumar Sarangi (Utkal University, India), A. Samson Arun Raj (Karunya Institute of Technology and Sciences, India), Janet Olivia Richmond (Karunya Institute of Technology and Sciences, India)and Purvee Bhardwaj (Rabindranath Tagore University, India)
DOI: 10.4018/979-8-3373-5132-2.ch017
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Abstract
Amid rising cyber threats targeting minors via smart devices and digital platforms, this study introduces an AI-driven framework to support child protection laws in digital spaces. Using the CSCSD-2024 dataset—containing 2.4 million labeled cases across 15 regions—we analyzed threats such as grooming, cyberbullying, and illicit exposure. The data spans IoT devices (32.7%), social platforms (48.5%), and cloud-based tools (18.8%). A layered AI system integrates CNNs for content analysis, BiLSTM for behavior tracking, and Federated Learning to ensure privacy. Deployed across AWS, Google Cloud, and Azure, it operates in real time with 93 ms latency and 0.78 s inference time. Testing across 4,000 IoT nodes yielded 96.4% precision, 94.9% recall, and 95.6% F1-score, surpassing rule-based models. ROC-AUC and PR-AUC scored 0.982 and 0.955. Legal modules mapped threats to COPPA, GDPR-K, India's IT Act, and Australia's eSafety law with 92.7% accuracy, offering a scalable, cloud-native standard for child safety enforcement.
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