The Internet of Things(IoT) technology offers enormous potentials thanks to its widespread adoption by many industries, individuals, and governments, leading to explosive growth and remarkable breakthroughs. However, its characteristic heterogeneity and ubiquity come with a considerable price for more security vulnerabilities, making deployed IoT systems increasingly susceptible to and prime targets of many physical and cyber-attacks, including insider attacks. In this talk I will discuss different types of IoT security challenges and attacks and explore how Blockchain technologies could provide potential solution to some of these challenges.
Dr Dhaval Thakker is an Associate Professor of Explainable AI, and IoT at the University of Bradford. He leads the Internet of Things (IoT) Innovation Lab. Dhaval has over seventeen years of working experience in the European Union(EU) and industrial projects researching and delivering innovative solutions. He is also part of the University’s Research Practice Innovation Group led by the Pro-Vice-Chancellor (Research and Knowledge Transfer) to help shape the university’s research and innovation (R&I) strategy. His broad area of research interest and expertise is interdisciplinary focusing on the use of Artificial Intelligence (AI), and the Internet of Things(IoT) technologies for the betterment of society. His current and evolving research interests include exploring the role of AI and IoT technologies in the context of Smart Cities, Digital Health, and the Circular Economy. To date, he has been successful as Principal and Co-investigator in over £4 million worth of R&I projects funded by national, international funding bodies and commercial organisations. Some of the notable funders have been the European Commission, Innovate UK, HFCE, and GCRF focusing on projects addressing societal challenges surrounding themes such as Smart Cities, Air Quality Monitoring, Flood Monitoring, Children’s Health, Industry 4.0(Smart Factories), and Archaeological & Drone-based surveys in Worn-torn areas.