First round of Secure and Private IoT Initiative funded projects announced

Daniel Tkacik

Apr 29, 2019

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)
Open laptop with computer chip on top of it

Source: Carnegie Mellon University's College of Engineering

Lightweight Quantized Deep Neural Networks for IoT Devices

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

 

Research Theme 2: Accountability

Internet of Things Compliance Gaps Under New California Laws

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

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

Do-It-Yourself-Locally: An IoT Architecture for Localized Data Control for Privacy and Security