THEORY OF THE DEVELOPMENT PROCESS OF A SOFTWARE MODULE THAT ANALYZES AND ENSURES THE SECURITY OF BIG DATA IN INTELLIGENT TRANSPORT SYSTEMS

Intelligent Transport Systems (ITS) have revolutionized the way we move and interact with our transportation networks. Leveraging cutting-edge technologies such as Internet of Things (IoT), sensors, and data analytics, ITS enable intelligent traffic management, predictive maintenance, and optimized routing, among other benefits. However, the increasing reliance on big data in ITS raises concerns about data security, as sensitive information such as traffic patterns, vehicle data, and user information need to be protected from cyber threats. To address this challenge, the development of a software module that analyzes and ensures the security of big data in ITS is crucial. In this article, the architecture of such a software module is analyzed based on a review of related works and best practices in software development and cybersecurity.