Securing Iot and Mobile Convergence With Iotmobilesync-xgboost: a High-performance Protocol for Seamless and Secure Data Integration
Year: 2024
Type: article
Abstract: The integration of Internet of Things (IoT) devices with mobile platforms introduces significant security challenges, necessitating robust, efficient protocols for data transmission. This paper presents IoTMobileSync-XGBoost, a novel hybrid security and synchronization protocol that combines machine learning-driven threat detection with optimized data management techniques. The proposed method integrates the XGBoost model for real-time prediction of synchronization times and anomaly detection, dynamically predicting and mitigating potential security threats with an impressive 96% accuracy in threat identification. Additionally, the protocol employs adaptive end-to-end encryption and secure key exchange mechanisms to ensure the integrity and confidentiality of transmitted data. Experimental results reveal a 44% reduction in average synchronization time and a 35% decrease in encryption overhead compared to traditional methods, significantly enhancing the efficiency of IoT-mobile interactions. The system also supports scalability, effectively managing up to 10,000 devices while maintaining low latency during peak traffic. These findings demonstrate that IoTMobileSync-XGBoost offers a comprehensive solution for secure and efficient data synchronization, making it suitable for real-time, scalable IoT-mobile integrations across various applications.
Author: Researcher
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6911769085
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