Dipo Dunsin

Dipo Dunsin is associate lecturer in Cyber Security and Digital Forensics in the School of Computing and Digital Media.

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Dipo Dunsin is a dedicated professional with a profound passion for technology and innovation, dedicating considerable time outside of his professional commitments to research and authoring articles on the latest trends in cybersecurity. His involvement extends to application and web development, with a particular focus on exploring the integration of artificial intelligence (AI) and machine learning (ML) within cybersecurity frameworks.

Dipo academic achievements include graduating with distinction from the MSc Computer Networking and Cybersecurity programme at London Metropolitan University. Dipo is also recognised as an Associate Fellow (AFHEA) and Fellow (FHEA), credentials that underscore his expertise and commitment to teaching and learning support in higher education. He is continuing his academic career by pursuing a Ph.D. in Artificial Intelligence-Based Digital Forensics Framework at the London Metropolitan University Cyber Security Research Laboratory under the direction of renowned professors Karim Ouazzane, Vassil Vassilev, and Mohamed Ghanem.

With over a decade of experience collaborating with FTSE 100 companies and public sector organisations, Dipo has established himself as a respected figure in the field of applied AI and ML in the context of cybersecurity. Currently, he serves as an Associate Lecturer at the School of Computing, where he leads technical workshops for undergraduate and postgraduate students across a diverse range of subjects, including Computer and Mobile Forensics, Computing and the Internet of Things, and Ethical Hacking. In addition, Dipo plays a crucial role in mentoring and overseeing final year projects for students pursuing MSc degrees in Data Analytics and MSc Artificial Intelligence, further contributing to the advancement of knowledge and skills in these critical areas.

Dipo is a distinguished educator specialising in technical workshops focusing on Computer and Mobile Forensics, catering to the increasing demands from law enforcement, security agencies, and commercial entities for proficient forensic computing experts. His methodology emphasises hands-on training, enabling participants to gain a comprehensive understanding of the Internet of Things (IoT) and Cloud Computing, including their foundational concepts, ecosystems, infrastructure, and applications, facilitated through diverse programming languages.

As the lead instructor for Network Forensics and Incident Response workshops, Dipo addresses the escalating challenges in network forensics and real-time incident management. He equips students with advanced technical capabilities to analyse network traffic using statistical methodologies and to employ Artificial Intelligence algorithms in detecting signs of malicious activities. Furthermore, Dipo imparts expertise in Digital Investigation and E-Discovery, aiming to prepare students and professionals to identify and mitigate digital crimes and cyber incidents across law enforcement and both the public and private sectors. His ethical hacking seminars for final-year students aim to enhance their comprehension and skills in identifying and defending against malicious cyber threats.

Dipo's academic interests encompass a broad spectrum of cybersecurity domains, including but not limited to Digital Forensics, Incident Response, Security Auditing, and Ethical Hacking. His research delves into the application of Artificial Intelligence (AI) and Machine Learning (ML) in cybersecurity, focusing on defensive, deterrent, and offensive strategies. His work also explores Supervised, Unsupervised, and Semi-Supervised Learning, alongside Reinforcement Learning and Autonomous Decision Processing within the context of cybersecurity and Cyberwarfare. Dipo's pioneering research extends to Digital Forensics and Incident Response, Drone Forensics, Cyber Warfare, and the utilisation of AI and ML in automating cybersecurity practices and malware analysis, highlighting his dedication to addressing contemporary challenges in the cybersecurity landscape.

  • Dunsin, D., Ghanem, M. C., Ouazzane, K., & Vassilev, V. (2024). A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response. Forensic Science International: Digital Investigation, 48, 301675. https://doi.org/10.1016/j.fsidi.2023.301675
  • Ghanem, M. C., Uribarri, M. D., Djemai, R., Dunsin, D., & Araujo, I. I. (2023). A Novel Hybrid Method for Effective Identification and Extraction of Digital Evidence Masked by Steganographic Techniques in WAV and MP3 Files. Journal of Information Security and Cybercrimes Research, 6(2), 89–104. https://doi.org/10.26735/izbk9372
  • Ghanem, M. C., Mulvihill, P., Ouazzane, K., Djemai, R., & Dunsin, D. (2023). D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities. Journal of Cybersecurity and Privacy, 3(4), 808–829. https://doi.org/10.3390/jcp3040036
  • Dunsin, D., Ghanem, M. C., & Ouazzane, K. (2022). The use of artificial intelligence in digital forensics and incident response (DFIR) in a constrained environment. World Academy of Science, Engineering and Technology. https://publications.waset.org/10012612/the-use-of-artificial-intelligence-in-digital-forensics-and-incident-response-in-a-constrained-environment

Dipo Dunsin (he/him)

School of Computing and Digital Media

Associate Lecturer in Cyber Security and Digital Forensics