Project objective

Development of an intelligent system for protecting the IoT infrastructure of smart cities in Kazakhstan based on artificial intelligence, providing real-time monitoring, detection, and prevention of cyber threats.

Relevance

With the development of digitalization and the widespread introduction of Internet of Things (IoT) technologies in smart cities, the issue of cybersecurity is becoming a priority. In Kazakhstan, urban infrastructure is becoming increasingly dependent on IoT systems, which include sensors, cameras, smart traffic lights, and other devices that support the city's vital functions. These devices enable real-time data exchange, optimize resource use, improve traffic flows, and increase safety. However, the openness of IoT systems makes them vulnerable to cyberattacks, including data leaks, system disruptions, and unauthorized access, which can significantly disrupt the functionality of urban infrastructure.

The project aims to develop smart solutions to ensure the cybersecurity of the IoT infrastructure of smart cities in Kazakhstan using artificial intelligence (AI) technologies. The development of smart cities and the introduction of IoT improve the quality of life and the efficiency of urban infrastructure. However, this creates new challenges: cyberattacks, disruptions to critical systems, and data leaks. These challenges require the development of modern solutions to protect infrastructure in real time.

Expected results

• Modern solutions for distributed IDPS and SOC interaction for IoT systems will be investigated.
• Mechanisms for distributed IDPS and SOC interaction for IoT systems will be developed.
• A flexible IDPS will be created for monitoring and protecting peripheral IoT devices.
• An analysis of the compatibility and scalability of the proposed solutions for smart cities will be conducted.
• Automated response scenarios (SOAR) will be developed and tested.
• Data protection methods will be implemented and regulatory compliance will be ensured.

Planned publications

• At least 2 (two) articles and/or reviews in peer-reviewed scientific journals indexed in Science Citation Index Expanded and included in the 1st (first) and (or) 2 (second) quartile by impact factor in the Web of Science database and (or) having a CiteScore percentile in the Scopus database of at least 65 (sixty-five)
• At least 2 (two) articles or reviews in a peer-reviewed foreign or domestic publication recommended by CQASHE.

Research team