Staff profile

Igor Kotsiuba is Assistant Professor in Finance (Financial Technology and Security) at  Durham University Business School, focused on Security of Financial Services and Technology, including participation in EU Horizon Research and Innovation and UK Cybersecurity Clusters, collaboration with Fintech industry and delivering Executive Education modules on Cybersecurity of Financial Critical Infrastructure and Cyber Risk dimension. Since his PhD in IT, Dr Kotsiuba worked for over decade in industry and Academia and founded a a digital forensics lab in Ukraine. Elected in 2018 as Head of the Cybersecurity Work Group of the American Chamber of Commerce and Honorary Chairman of Cybersecurity Cluster, acting as an Of Counsel for government and industry managed more than 10 transnational cybersecurity R&I projects on National Critical Infrastructure, Dynamic Risk Assessment.

• Fintech and Security
• Cybersecurity Risk Management
• Digital Forensic Readiness of Critical Infrastructure
• Cybersecurity of Energy Systems and Infrastructure
• Cybersecurity for financial firms and emerging technologies

• 2022: Observer in Civil Security Cluster 3 Committee European Commission :
• 2021: Top 21 Influencer in Cybersecurity to follow :
• 2020: Presidential award for young scientists:

Chapter in book

• Achieving Security and Privacy in NG-IoT Using Blockchain Techniques
  
  Kelli, V., Triantafyllou, A., Radoglou-Grammatikis, P., Lagkas, T., Vitsas, V., Fouliras, P., Kotsiuba, I., & Sarigiannidis, P. (2024). Achieving Security and Privacy in NG-IoT Using Blockchain Techniques. In R. C. Sofia & J. Soldatos (Eds.), Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications (pp. 251-265). River Publishers. https://doi.org/10.1201/9781032632407-15
• Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone
  
  Biloborodova, T., Skarga-Bandurova, I., Kotsiuba, I., & Skarha-Bandurov, I. (2021). Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone. IOS Press. https://doi.org/10.3233/shti210297
• Cyber Security and Resilience of Smart Grid Infrastructure in the Arctic
  
  Skarga-Bandurova, I., & Kotsiuba, I. (2020). Cyber Security and Resilience of Smart Grid Infrastructure in the Arctic. In B. D. Trump, K. Hossain, & I. Linkov (Eds.), Volume 58: Cybersecurity and Resilience in the Arctic (pp. 245-264). https://doi.org/10.3233/NICSP200051
• Database Incident Response and Forensic Preparation Through the Performance Features
  
  Nesterov, M., Kotsiuba, I., Skarga-Bandurova, I., & Biloborodova, T. (n.d.). Database Incident Response and Forensic Preparation Through the Performance Features. In Computational Intelligence and Mathematics for Tackling Complex Problems 3 [Contracted by publisher].

Conference Paper

• Explainable AI-based Intrusion Detection in the Internet of Things
  
  Siganos, M., Radoglou-Grammatikis, P., Kotsiuba, I., Markakis, E., Moscholios, I., Goudos, S., & Sarigiannidis, P. (2023). Explainable AI-based Intrusion Detection in the Internet of Things. In ARES ’23: Proceedings of the 18th International Conference on Availability, Reliability and Security. ACM. https://doi.org/10.1145/3600160.3605162
• Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations
  
  Skarga-Bandurova, I., Kotsiuba, I., & Biloborodova, T. (2022, December 17 – 2022, December 20). Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations [Conference paper]. Presented at 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan. IEEE.
• Basic Forensic Procedures for Cyber Crime Investigation in Smart Grid Networks
  
  Kotsiuba, I., Skarga-Bandurova, I., Giannakoulias, A., & Bulda, O. (2019, December 9 – 2019, December 12). Basic Forensic Procedures for Cyber Crime Investigation in Smart Grid Networks [Conference paper]. Presented at 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA. IEEE.
• Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure
  
  Kotsiuba, I., Skarga-Bandurova, I., Giannakoulias, A., Chaikin, M., & Jevremovic, A. (2019, December 9 – 2019, December 12). Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure [Conference paper]. Presented at 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA. IEEE.
• Performance Evaluation of Real-Time System for Vision-Based Navigation of Small Autonomous Mobile Robots
  
  Boltov, Y., Skarga-Bandurova, I., Kotsiuba, I., Hrushka, M., Krivoulya, G., & Siriak, R. (2019, June 5 – 2019, June 7). Performance Evaluation of Real-Time System for Vision-Based Navigation of Small Autonomous Mobile Robots [Conference paper]. Presented at 2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT), Leeds, United Kingdom. IEEE.
• Data Fusion Technique to Predicting Database Performance Issues
  
  Skarga-Bandurova, I., Nesterov, M., Biloborodova, T., Krivoulya, G., Kotsiuba, I., & Biloborodov, O. (2019, June 5 – 2019, June 7). Data Fusion Technique to Predicting Database Performance Issues [Conference paper]. Presented at 2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT), Leeds, United Kingdom. IEEE.
• Multi-Database Monitoring Tool for the E-Health Services
  
  Kotsiuba, I., Nesterov, M., Yanovich, Y., Skarga-Bandurova, I., Biloborodova, T., & Zhygulin, V. (2018, December 10 – 2018, December 13). Multi-Database Monitoring Tool for the E-Health Services [Conference paper]. Presented at 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA. IEEE.
• Blockchain Evolution: from Bitcoin to Forensic in Smart Grids
  
  Kotsiuba, I., Velykzhanin, A., Biloborodov, O., Skarga-Bandurova, I., Biloborodova, T., Yanovich, Y., & Zhygulin, V. (2018, December 10 – 2018, December 13). Blockchain Evolution: from Bitcoin to Forensic in Smart Grids [Conference paper]. Presented at 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA. IEEE.
• Decentralized e-Health Architecture for Boosting Healthcare Analytics
  
  Kotsiuba, I., Velvkzhanin, A., Yanovich, Y., Bandurova, I. S., Dyachenko, Y., & Zhygulin, V. (2018, October 30 – 2018, October 31). Decentralized e-Health Architecture for Boosting Healthcare Analytics [Conference paper]. Presented at 2018 Second World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), London. IEEE.
• The Information Service for Delivering Arrival Public Transport Prediction
  
  Skarga-Bandurova, I., Derkach, M., & Kotsiuba, I. (2018, September 20 – 2018, September 21). The Information Service for Delivering Arrival Public Transport Prediction [Conference paper]. Presented at 2018 IEEE 4th International Symposium on Wireless Systems within the International Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), Lviv. IEEE.

Journal Article

• A dataset to train intrusion detection systems based on machine learning models for electrical substations.
  
  Gutiérrez Mlot, E. D., Saldana, J., Rodríguez, R. J., Kotsiuba, I., & Gañán, C. (2024). A dataset to train intrusion detection systems based on machine learning models for electrical substations. Data in Brief, 57, Article 111153. https://doi.org/10.1016/j.dib.2024.111153
• Cyber Hygiene Maturity Assessment Framework for Smart Grid Scenarios
  
  Skarga-Bandurova, I., Kotsiuba, I., & Velasco, E. R. (2021). Cyber Hygiene Maturity Assessment Framework for Smart Grid Scenarios. Frontiers in Computer Science, 3. https://doi.org/10.3389/fcomp.2021.614337

Presentation

• Empirical study of new metrics for the internet route hijack risk assessment
  
  Kotsiuba, I. (2023, December 10). Empirical study of new metrics for the internet route hijack risk assessment. Presented at CEUR Workshop Proceedings.
• Cybercrime Investigations in the Era of Smart Applications: Way Forward Through Big Data
  
  Shalaginov, A., Kotsiuba, I., & Iqbal, A. (2019, December 9 – 2019, December 12). Cybercrime Investigations in the Era of Smart Applications: Way Forward Through Big Data [Conference paper]. Presented at 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA. IEEE.
• Parking Guide Service for Large Urban Areas
  
  Derkach, M., Lysak, V., Skarga-Bandurova, I., & Kotsiuba, I. (2019, September 18 – 2019, September 21). Parking Guide Service for Large Urban Areas [Conference paper]. Presented at 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Metz, France. IEEE.
• Assessment of insider attack with learning statistics methods
  
  Kotsiuba, I. (2016, February 19 – 2016, February 21). Assessment of insider attack with learning statistics methods. Presented at ICISSP 2016 - 2nd International Conference on Information Systems Security and Privacy, Doctoral Consortium.