Chibuzo Ukegbu

Assistant Professor Milwaukee School of Engineering

  • Milwaukee WI

Chibuzo Ukegbu's research focuses on formal verification and analysis of industrial control systems software.

Contact

Milwaukee School of Engineering

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Education, Licensure and Certification

Ph.D.

Computing

Boise State University

2024

M.S.

Information Technology

National Open University of Nigeria

2016

Postgraduate Diploma

Computer Science

Nnamdi Azikiwe University

2014

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Biography

Chibuzo Ukegbu's research focuses on formal verification and analysis of industrial control systems software. Analysis and assessment of the strengths of various formal verification tools; and currently, Chibuzo is working on merging ontology, descriptive logic, temporal logic and operational semantics to achieve an intelligent and efficient formal verification framework for safety-critical ICS.

Areas of Expertise

Software Engineering
Cloud Security
Computing
Cloud Infrastructure Deployment
Automation and Configuration Management
Cybersecurity
Software Security

Affiliations

  • ACM
  • IEEE : Graduate Member
  • ISC2

Social

Media Appearances

Students in Action: Chibuzo Ukegbu, Computing PhD Cybersecurity emphasis

Boise State University  online

2024-02-02

Join us in celebrating Chibuzo Ukegbu, Computing PhD student in the Cybersecurity emphasis. After Chibuzo’s paper, Cooperative verification of PLC programs using CoVeriTeam, was published at the 2023 ACM/IEEE Conference on Internet of Things Design and Implementation in San Antonio, TX, we asked him to share more about his research focus, motivation and academic successes.

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Event and Speaking Appearances

Benchmarks for the Verification of Safety and Security Prop- erties of PLC Programs in Cooperative Verification Environments

8th International Conference on Information Systems Engineering  Bangkok, Thailand

Research Interests

Children Cybersecurity Awareness and Education

: My new area of research centers on investigating high schoolers' cybersecurity awareness (cybersecurity education)—how they can be cyber-aware in the face of the latest AI-driven attacks—and teaching them about the vulnerability of the devices they use.

Selected Publications

Cooperative Verification of PLC Programs Using CoVeriTeam: Towards a reliable and secure Industrial Control Systems

CPS-IoT Week '23: Proceedings of Cyber-Physical Systems and Internet of Things Week 2023

2023

It is important that the programmed logic controller(PLC), the heart of industrial control systems (ICS), is formally verified to ensure that its safety and security requirements are met. However, the combination of the strengths of two or more verification tools to verify tasks has yet to be fully explored, especially in verification of safety-critical programs such as PLC programs. In this paper, we apply cooperative verification techniques by building a verifier validator (using Symbiotic as a verifier and the CPA checker as a validator).

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Ontology-based Framework for Boundary Verification of Safety and Security Properties in Industrial Control Systems

EICC '23: Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference

2023

As part of Industrial Control Systems (ICS), the control logic controls the physical processes of critical infrastructures such as power plants and water and gas distribution. The Programmable Logic Controller (PLC) commonly manages these processes through actuators based on information received from sensor readings. Therefore, boundary checking is essential in ICS because sensor readings and actuator values must be within the safe range to ensure safe and secure ICS operation.

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Design of a flood magnitude prediction model using algorithmic and mathematical approaches

International Journal of Information Technology

2021

Flood is the most common type of natural disaster in sub-Saharan Africa, and causes tremendous damage to life, economy and agriculture. Effective and accurate means of predicting flood and its magnitude are still lacking to a large extent. This study is aimed at designing a concise and efficient model that can determine or predict flood and its magnitude using available data from areas prone to flood events.

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