Carnegie Mellon CyLab’s Secure and Private IoT Initiative (IoT@CyLab)'s 2020 round of funding supported ten IoT-related projects for one year. While all Internet of Things security and privacy topics were within scope, IoT@CyLab especially targeted the practical systems solutions for security of industrial control systems and Industrial IoT.
Funding for these projects was made possible by sponsorships from Amazon Web Services, AT&T Business, Infineon Technologies, and Nokia Bell Labs. These sponsors actively worked with IoT@CyLab co-directors Anthony Rowe and Vyas Sekar on the request for proposals and proposal review.
The projects are grouped into three broad research themes:
Funding for these projects was made possible by sponsorships from Amazon Web Services, AT&T Mobility, Cisco, Infineon Technologies, and Nokia Bell Labs. These sponsors were active in working with IoT@CyLab co-directors Anthony Rowe and Vyas Sekar on the request for proposals and proposal review.
Not all IoT-related projects at CMU are funded under this initiative. Explore other IoT projects at CMU.
Trustworthy platforms
Hardware redaction via designer-directed fine-grained eFPGA insertion
- PI: Ken Mai, Principal Systems Scientist, Electrical and Computer Engineering (ECE)
Lightweight security architectures for IoT fog networks
- Co-PI: Osman Yagan, Associate Research Professor, ECE
- Co-PI: Swarun Kumar, Assistant Professor, ECE
Quantized deep neural networks for fingerprint recognition
- PI: Shawn Blanton, Trustee Professor, ECE
Accountability
Third-party network traffic attribution for IoT, TV, web, and mobile
- PI: Tim Libert, Special Faculty Instructor, ISR
IoTSniffer: Detecting unauthorized traffic in industrial IoT
- PI: Swarun Kumar, Assistant Professor, ECE
Privacy tradeoffs in distributed learning
- PI: Carlee Joe-Wong, Assistant Professor, ECE
Autonomous healing networks
Systematic attack generation for industrial control systems
- PI: Eunsuk Kang, Assistant Professor, Institute for Software Research (ISR)
Robust machine learning-based anomaly detection for industrial IoT
- PI: Lujo Bauer, Professor, ECE and ISR
Zero-Knowledge network security analysis using generative adversarial networks
- PI: Giulia Fanti, Assistant Professor, ECE
Education
Expanding picoCTF into industrial IoT
- Co-PI: Hanan Hibshi, Research and Teaching Scientist, Information Networking Institute (INI)
- Co-PI: Maverick Woo, Systems Scientist, CyLab
For information on how your company can get involved in IoT@CyLab or other security and privacy research at CMU, contact a member of the CyLab partnerships team.