Dr Ioannis Agrafiotis is an Officer in Capacity Building at the European Union Agency for Cybersecurity (ENISA) working in the area of securing AI and responsible for organising Capture-the-Flag challenges. Ioannis has an affiliation with the University of Oxford, where he acts as a Senior Researcher in cybersecurity with the Department of Computer Science and as a James Martin Fellow at the Global Cyber Security Capacity Centre. In his academic role, he has participated in various projects conducting research in capacity building, risk analysis and resilience in the cyber domain, cyber insurance, and anomaly detection for internal and external threats. Ioannis completed his doctoral studies in Engineering at the University of Warwick (2012, EPSRC-funded). He also holds an MSc in Analysis, Design and Management of Information Systems from the London School of Economics and Political Science (2008) and a BSc in Applied Informatics from the University of Macedonia in Greece (2006).
Machine learning in cybersecurity: Challenges and lessons learnt from research
The accelerated pace with which companies, governments and institutions digitalise parts of their functionality is creating opportunities for economic prosperity but at the same time increases the threat landscape. Cyberattacks are ever-increasing, with unintended consequences for the society. The rapid developments in the field of artificial intelligence, and machine learning in particular, may offer solutions in detecting, deterring and mitigating cyber threats. This talk will focus on two cases where machine learning can be applied, namely insider threat detection and spreading rumours on social media. It will cover challenges, lessons learnt from research projects and opportunities for further research.