Professors Salim El Rouayheb and Yingying Chen have won a new NSF award for the project titled "Secure Distributed Coded Computations for IoT : An Information Theoretic and Network Approach." This is a three year $1.2M collaborative effort led by Rutgers University (Salim El Rouayheb, PI and Yingying Chen, Co-PI) with University of Illinois at Chicago. Rutgers' share of this award is $800,000.
The Internet of Things (IoT) is emerging as a new Internet paradigm connecting an exponentially increasing number of smart IoT devices and sensors. IoT applications include smart cities, transportation systems, mobile healthcare and smart grid, to name a few. Unlocking the full power of IoT requires analyzing and processing large amounts of data collected by the IoT devices through computationally intensive algorithms that are typically run in the cloud. This leaves the IoT network, and the applications it is supporting, at the complete mercy of an adversary (enemy nations, hackers, etc.), or a natural disaster (hurricane, earthquake, etc.), that can jeopardize the IoT, or completely disconnect it from its "brain" (the cloud), with potentially catastrophic consequences. As part of this project Salim and Yingying and their teams will explore secure coded computations aimed at addressing the security challenges of IoT dependence on the cloud for computations by allowing data to be processed locally by IoT-devices that collaborate together to compute. The project will also validate the feasibility of the proposed secure codes and algorithms by building a mobile healthcare monitoring framework using IoT devices.
You can find more details on the project at the NSF page here.
Congratulations Salim and Yingying on this exciting collaborative effort!
Narayan Mandayam has been selected for the 2018 Distinguished Alumnus Award at IIT (Indian Institute of Technology) Kharagpur. This is a prestigious and increasingly competitive award with recent winners including Google’s CEO Sundar Pichai. The award will be given out at the annual convocation in July.
Assistant Professor Mehdi Javanmard has won a new DARPA award for the project titled "Closing the Feedback Loop for Neural Stimulation-Based Therapeutics: Continuous Monitoring of Inflammatory Processes."
This is a 18 month $642,000 collaborative effort with UPenn led by Rutgers University. As part of this project, Mehdi and his team will fabricate in-vitro and quasi in-vivo wireless probes for continuously monitoring inflammatory processes in subjects undergoing stimulation of the peripheral nervous system for treating rheumatoid arthritis.
Professor Emina Soljanin participated in an American Masters podcast hosted by PBS celebrating the life of Hedy Lamar, along with Academy-Award-winning actor Susan Sarandon and filmmaker Alexandra Dean. Please find the podcast here where Emina discusses similarities of her NSF project to Hedy Lamar's work.
The Rutgers University Board of Governors has approved the promotion of Peter Meer to Distinguished Professor.
Congratulations to Peter on this well deserved recognition!
Professor Yingying Chen has received a new Army Research Office (ARO) award for the project titled "Enhanced Learning of Sensor Fusion for Human Authentication" This is a three year $351,162 project in collaboration with Robert Wood Johnson Medical School ($100,000).
In this project, Yingying and her team proposes a learning-based user authentication framework leveraging multi-modal user verification grounded on human’s physical traits extracted from existing mobile devices without requiring specialized hardware or verification infrastructure. They plan to develop sensor-fusion based machine learning techniques, which seek to add two important security aspects in user authentication: continuous user verification exploiting unique gait patterns and online signature verification via touch-screen sensing. The research goal is to exploit ensemble learning of information from multiple classifiers on single sensor data to combat the inherent problems coming from a single biometric indicator and further use confidence distribution combining to aggregate decisions from multiple sensors to produce more powerful and robust matching results to achieve enhanced user authentication.
Congratulations to Professor Emina Soljanin on her new NSF award for the project titled "Covert/Secret and Efficient Message Transfer in (Mobile) Multi-Agent Environments." This is a three year $500,000 collaborative effort led by Rutgers University (Emina Soljanin, PI) with NJIT. Rutgers' share of this award is $250,000.
As part of this project, Emina and her team will explore secret and efficient (preferably covert) communications by harnessing the resources brought in by smart everyday devices in emerging Internet of Things (IoT) environments. The research plan is organized in two central thrusts: The first thrust investigates a novel covert, secure and efficient communication scheme between mobile nodes, which has the main feature that any data transfer is only performed over short distances, thus reducing exposure to adversarial actions as well as energy and bandwidth requirements. The second thrust builds on the first one and devises secure coding schemes for the case where an eavesdropper discovers that messages are being exchanged and/or gets in possession of some helping IoT devices.
You can find more details on the project at the NSF page here. Professor Soljanin also participated in an American Masters podcast hosted by PBS celebrating the life of Hedy Lamar, along with Academy-Award-winning actor Susan Sarandon and filmmaker Alexandra Dean. Please find the podcast here where Emina discusses similarities of her NSF project to Hedy Lamar's work.
This is really cool stuff! Congratulations Emina!