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IoT Map: A Comprehensive Framework for IoT Data Management and Analysis

Author(s)
Sanjay Agal Faculty of Engineering, Parul University, Vadodara, Gujarat, India
Niyati Dhirubhai Odedra Dr V R Godhania College of Engineering & Technology, Gujarat, India
Abstract
The Internet of Things (IoT) revolutionizes numerous industries by enabling real-time data collection and analysis from a multitude of connected devices. However, the vast amount of data generated by IoT devices presents significant challenges in data management, security, and real-time processing, particularly regarding data storage, real-time processing, security, and predictive modeling. This paper introduces IoTMap, a comprehensive framework designed to streamline IoT data workflows by integrating database management, live sniffing, exploitation testing, and modeling capabilities into a single platform. IoTMap addresses the inefficiencies and fragmentation seen in existing solutions by offering an all-in-one approach that enhances data handling, improves security, and provides real-time insights and predictive analytics. Through extensive testing with a variety of IoT devices, the framework demonstrated high efficiency in data management, effective realtime traffic analysis, robust security assessments, and accurate modeling of IoT environments. IoTMap's unified and scalable approach positions it as a valuable tool for researchers, developers, and practitioners, facilitating more efficient and effective IoT data management and analysis while paving the way for advanced IoT applications and research.
Publication Details
Page(s) 803-817
DOI DOI not available
Published Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: 4, Year: 2024

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Keywords
Database, framework, Python, Modelling, Data Management, IoT, Sniffing, Exploitation
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