Projects

DSTN > Projects > CyberScada

Project investigators

  • ACE OOAK-Park, Nigeria
    • Professor Aderounmu G. A., Obafemi Awolowo University, Ile-Ife, Nigeria
    • Dr. Olajubu E. A., Obafemi Awolowo University, Ile-Ife, Nigeria
    • Dr. Akinyemi B.O., Obafemi Awolowo University, Ile-Ife, Nigeria
    • Dr. Sanni M. L., Obafemi Awolowo University, Ile-Ife, Nigeria
  • ACE SMIA, Benin
    • Dr. Jules Dégila, University of Abomey-Calavi, Benin
    • Dr. Arnaud Ahouandjinou, University of Abomey-Calavi, Benin
    • Dr. Pélagie Hounguè, University of Abomey-Calavi, Benin
    • Dr. Ratheil HOUNDJI, University of Abomey-Calavi, Benin
DSTN > Projects > CyberScada

Title: Development of an adaptive bio-optimisation based intrusion detection model for Supervisory Control and Data Acquisition (SCADA) Systems

Project type: Research Project (4 years)

Abstract :
In the advent of Technology, Critical Infrastructures (CI) are mostly managed by control systems; typically, the Supervisory Control and Data Acquisition (SCADA) systems. The considerations on monitoring and controlling these facilities are receiving increased research attention as the CIs migrate to cyberspace, especially in the current digital transformation of power, transportation, telecommunication, chemical plants, oil, and gas. A cyber-attack against the SCADA system may have devastating consequences on public safety, health, and the economy of individuals, corporations, and government. There is an estimate of 56% reported security breach in the later part of 2018 through mid-year in 2019 (Paganini, 2020). Therefore attacks on SCADA systems in cyberspace are evolving as its security threats and vulnerabilities change dimension.
Thus, the Intrusion problem is inevitable including the vulnerabilities of SCADA’s protocols. The existing SCADA intrusion detection systems (IDS) were developed using conventional or bio- inspired solutions. Bio-inspired solutions are innovations inspired by nature, with speed, adaptation, and scalability advantages. SCADA network’s Modbus has a weak security mechanism while Distributed Network Protocol (DPN3) has none. Hence, this study addresses the security monitoring of the threats. Furthermore, vulnerabilities of SCADA networks are addressed with a view to developing an enhanced architecture for the communication functions.
The project seeks to select and collect a dataset in a named domain of the SCADA system, design its conceptual framework, while an optimised mathematical model will be formulated and validated. The SCADA-specific performance metrics will be used to evaluate the model in a MATLAB environment using detection latency and accuracy; sensitivity and specificity.
An adaptive, bio-optimised IDS prototype will be developed and security monitoring architectural support over SCADA networks will be provided. This study will contribute to bio-inspiration models by providing a model with parameters that can be modelled in real-life transmission of computing signals including an enhanced architecture based on security-aware protocols.
Any CI attacks constitute a veritable threat to national safety and security. The outcome of this study will alleviate socio-economic problems towards sustainable economic growth and development in view of the current digital transformation while supporting the health and safety of the citizenry.

Keywords:

  • Research themes in digital science: Cybersecurity. SCADA, Intrusion, Detection, bio-optimisation, Critical Infrastructures
  • Other research themes and application areas: Industry automation, Cyberspace, Cyber-attacks, Control Systems
By continuing your navigation on this site, you accept the use of cookies to allow us to offer you the best service.