Present Research Projects
WiFiUS – Secure Inference in the Internet of Things
Goals of the Project:
- To understand how much information can be transferred in secret for the resource constrained, short packet, low latency, inference applications most relevant to IoT.
- Develop approaches that approach the theoretical rates.
- Understand the fundamental limits on one’s ability to compress data in IoT environments while still maintaining secrecy, along with compression and reconstruction algorithms to approach these bounds.
- Understand the possible attacks on IoT inference systems, their impact and how to protect against them.
- Understanding the limits of secrecy, privacy, and security for IoT inference applications employing statistical inference and machine learning in distributed settings. How does distributed processing impact inference, security, secrecy, and authentication?
Full details of the project available here.
Cybersecuring the smart grid
Prof. Blum (center) at a meeting regarding the project.
Researchers in Lehigh’s Integrated Networks for Electricity research cluster are part of a new center that aims to develop new technologies to protect the nation’s power grid from cyber attacks.
Full story here: Cybersecuring the Smart Grid.
Attacks on Sensor Networks
Check out: J. Zhang and Rick S. Blum, “Distributed Estimation in the Presence of Attacks for Large Scale Sensor Networks“, Conference on Information Sciences and Systems in March 2014.
Sensor Networking for Wave Energy
Full details here: Wave Energy at Lehigh University.
Past Research Projects
Iterative Multiuser Detection for Turbo-coded CDMA
Adaptive Receiver for Impulsive Noise
Space-time Adaptive Processing
MIMO and Space-Time Coding
Image Fusion: Non-Visual Sensors