The 'Judicious' Use of AI and MLOxford Professor Offers IoT Risk Management Lessons
Artificial intelligence and machine learning must be judiciously used, such as when monitoring internet of things devices, says David De Roure, professor of e-research at the University of Oxford, who offers insights on IoT risk management.
"We can use AI and ML to improve the resilience of our systems and improve the responsiveness to the changing circumstances," De Roure says in an interview with Information Security Media Group at the recent IoT India Congress in Bengaluru. "But every time we add anything to these already complex systems [for IoT devices], we are introducing new complexity, new vulnerabilities, new opportunities both for failure and for susceptibility to attack."
In this interview (see audio link below photo), De Roure also discusses:
- Why it's important to look at the big picture when considering IoT security;
- How security practitioners can assess IoT risks;
- Measures that can be taken to mitigate these risks.
De Roure is a professor of e-research at the University of Oxford. From 2009 to 2013 he held the post of national strategic director for e-social science and was subsequently a strategic adviser to the UK Economic and Social Research Council.