CyLab’s Secure and Private IoT Initiative (IoT@CyLab) has broken ground as the first round of funded proposals have been announced. Twelve selected projects will be funded for one year, and results will be presented at the IoT@CyLab annual summit next year.
All projects fall under one of the three IoT@CyLab main research themes: trust, accountability, and autonomous healing.
Funding for these projects was made possible by sponsorships from Amazon Web Services, AT&T Mobility, 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.
During the execution of these projects, faculty will collaborate with IoT@CyLab’s sponsors towards the mission of creating the knowledge and capabilities to build secure and privacy-respecting IoT systems.
Listed below are the funded projects with each project’s principal investigator(s) (PI) under each of the Initiative’s three main research themes.
Research theme 1: Trust
Securing embedded software
- PI: David Brumley, Professor of Electrical and Computer Engineering (ECE)
Toward a smarthome IoT infrastructure free of privacy leaks and software vulnerabilities
- Co-PI: Lujo Bauer, Associate Professor (ECE, Institute for Software Research (ISR)); Director of the Cyber Autonomy Research Center
- Co-PI: Limin Jia, Associate Research Professor (ECE)
Lightweight quantized deep neural networks for IoT devices
- Co-PI: Shawn Blanton, Trustee Professor (ECE)
- Co-PI: Diana Marculescu, David Edward Schramm Professor (ECE)
IoT device privacy and security nutrition labels
- Co-PI: Lorrie Cranor, Director of CyLab; Professor in the Institute for Software Research (ISR) and Engineering and Public Policy (EPP)
- Co-PI: Yuvraj Agarwal, Assistant Professor (ISR)
Wireless physical layer security
- PI: Swarun Kumar, Assistant Professor (ECE)
Research theme 2: Accountability
Internet of Things compliance gaps under new California laws
- PI: Aleecia M. McDonald, Assistant Professor of the Practice (INI)
Third-Party network traffic attribution and cross-device user tracking for IoT and web
- PI: Timothy Libert, special faculty in the School of Computer Science (SCS)
Privacy-preserving inference and decision-making with IoT data
- Co-PI: Gauri Joshi, Assistant Professor (ECE)
- Co-PI: Osman Yagan, Associate Research Professor (ECE)
Privacy preserving data analytics using secure multi-party computation
- PI: Vipul Goyal, Associate Professor in the Computer Science Department (CSD)
Research theme 3: Autonomous healing
Flipping the cloud: Managing and protecting IoT interactions among mutually distrusting stakeholders at the network edge
- PI: Patrick Tague, Associate Director, Information Networking Institute (INI); Associate Research Professor (ECE, INI)
IoTHub for managing and securing devices in the Home
- PI: Jason Hong, Professor (HCII)
Do-It-Yourself-Locally: An IoT architecture for localized data control for privacy and security
- PI: Yuvraj Agarwal, Assistant Professor (ISR)