Research Laboratory of Cybersecurity and Artificial Intelligence

Laboratory Head: Professor Uskenbaeva R.K.

1. Laboratory objective

To develop scientific research and innovative solutions in the fields of cybersecurity and artificial intelligence, aimed at protecting information systems and digital infrastructure, identifying and preventing cyber threats, addressing current scientific and practical challenges, and training highly qualified specialists.

2. Laboratory tasks

• to conduct scientific research in the fields of cybersecurity and artificial intelligence;
• to develop and adapt machine learning algorithms for the detection, analysis, and prevention of cyber threats;
• to collect, process, and analyse data in the field of information security, including network traffic, event logs, and cyber incident data;
• to create and develop specialised datasets for training and testing cybersecurity models;
• to develop software solutions and intelligent systems for the protection of information systems and digital infrastructure;
• to publish research results in peer-reviewed scientific journals and to participate in scientific conferences;
• to prepare and implement educational and methodological materials in the educational process;
• to support and supervise the scientific activities of students, master's students, and PhD doctoral students;
• to implement developed technologies in government and private organisations, including critical infrastructure facilities;
• to develop cooperation with national and international scientific and educational centres and industrial partners.

3. Main areas of activity

3.1. Cryptographic solutions and trusted infrastructure

Development and implementation of modern cryptographic methods and data protection mechanisms; design of secure device architectures and trusted execution environments; creation and analysis of software mechanisms for ensuring information security.

3.2. Vulnerability analysis and technical security expertise

Assessment of the resilience of hardware and software components to standard and targeted attack scenarios; verification of the correctness of cryptographic protocol and protection mechanism implementations; auditing of software code, network configurations, and information systems; preparation of recommendations and technical conclusions on the remediation of identified vulnerabilities and risks.

3.3. Secure electronics and circuit engineering solutions

Design of secure electronic devices and hardware modules; research into methods for increasing resistance to physical impacts and hardware attacks; development and evaluation of the effectiveness of circuit engineering and hardware protection measures.

3.4. Secure software and control algorithms for embedded systems and robotics

Development of secure software for embedded and cyber-physical systems; creation of control algorithms taking into account information security requirements; ensuring the stable and secure operation of devices under real-world operating conditions.

3.5. Application of artificial intelligence and machine learning methods in information security

Development and application of artificial intelligence and machine learning methods for the analysis of network traffic, telemetry, and behavioural data; detection of cyber threats and anomalies; automation of incident processing and decision support; and improving the efficiency of information security management based on data analysis.

4. Alignment with the UN Sustainable Development Goals (SDGs):

SDG 4 — development of educational and research approaches in the fields of cybersecurity and artificial intelligence; training of highly qualified specialists and support for young researchers in information security.

SDG 8 — contributing to sustainable economic growth through the development and implementation of innovative solutions in cybersecurity and artificial intelligence, and through the development of digital competencies and professional skills.

SDG 9 — development and implementation of modern cybersecurity, cryptographic protection, and intelligent data analysis technologies to ensure the resilience of digital infrastructure, promote an innovative environment, and enhance technological independence.

SDG 11 — ensuring the security of smart city digital infrastructure, including the protection of information, transport, energy, and communication systems, and enhancing the resilience of the urban environment to cyber threats.

SDG 16 — development and application of cybersecurity technologies for the protection of state, public, and corporate information systems, increasing the resilience of digital services, and strengthening trust in the digital environment.

SDG 17 — development of national and international scientific cooperation in cybersecurity and artificial intelligence; strengthening partnership ties with scientific and educational organisations, industrial partners, and research centres.