18-739C: Special Topics in Security: AI/ML and Cybersecurity: Challenges, Opportunities, and Applications
The world is reaching a critical point in the growth of the Internet of Things or IoT. Cars, planes, satellites, thermostats, and refrigerators all now have computers connected together on the global Internet. While IoT has huge potential for societal impact, it comes with a number of key security concerns. Since IoT devices will typically be embedded deep inside networks, they are attractive attack targets and may become the “weakest link” for breaking into critical infrastructures, or for leaking sensitive information about users and their behaviors. These can entail significant negative consequences and costs. As these devices sense and actuate the physical environment, they also raise new risks of cyber-physical threats in contrast to traditional cybersecurity concerns. These are not merely hypothetical concerns and several actual attacks have already been reported.
In this special topics course, we will study the state-of-art in IoT security by surveying cutting edge research papers from the systems and security communities in various topics including: (1) Vulnerabilities in IoT systems; (2) Privacy and policy issues as they arise in IoT systems; (3) IoT security issues in specific market verticals such as grid, automotive, manufacturing, and healthcare; (4) Applications of AI/ML to secure IoT; and (5) Secure architectures for future IoT infrastructures
We will also do a hands-on research project in the space of IoT security to gain a more in-depth understanding of the problems in this space.
The class is open to graduate students (and undergrads who have taken 18-330) with a strong background in networking, security, and systems. Students are expected to have the following
Last Modified: 2023-09-22 4:44PM
- Fall 2022
- Fall 2021
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- Spring 2011
- Spring 2009