Networks
Networks make the whole greater than the sum of its parts. Social networks, computer networks, and transportation networks are all examples of networks that are deeply enmeshed into our lives. CISE investigates fundamental research questions in networks, such as network formation and evolution, and interaction between network agents (which may be selfish or malicious). The questions are addressed through advances in the fields of optimization, control, distributed algorithms, and game theory. The theoretical methods are complemented by experimental work, which include testing of IoT and 5G network systems, deployment of networks of autonomous agents (e.g., robots, drones, and connected vehicles), design of neural networks for deep learning, federation of cloud computing systems, and data-driven methods to detect and thwart malicious behavior on the Internet.
CAREER: Algorithms and Fundamental Limitations for Sparse Control
The proposal is to study the design of feedback control strategies which stabilize and steer systems by affecting them in only a few variables. The motivation comes from applications which are either large-scale or geographically distributed and therefore cannot be feasibly affected in many places. A primary motivating application is the control of metabolic chemical […]
Collaborative Research: IMR: MM-1C: Methods for Active Measurement of the Domain Name System
This project will investigate techniques for measuring the contents of the Domain Name System (DNS) toward the goal of producing a comprehensive census of all record types. The project will focus on developing methods for generating domain names that will be used in queries of the global DNS. Strategies for name generation that will be […]
Collaborative Research: NeTS: Medium: Large Scale Analysis of Configurations and Management Practices in the Domain Name System
This project will build a broad and fundamental body of knowledge on the characteristics of configurations and management practices used in the operation of the Internet?s Domain Name System (DNS). Large public datasets will be used to analyze and statistically model the DNS contents. Graph-based analysis will be used to characterize and quantify activities performed […]
Collaborative Research: CNS Core: Small: A New Architecture for Petabyte-scale File Transfer Evaluated in FABRIC
File transfer is a fundamental operation of the Internet. Important scientific instruments, such as the James Webb Space Telescope and the Large Hadron Collider, generate massive files daily. As files increase in size, it is more likely errors are introduced during their transfer, such as the ones not caught by the checksum process. Reliability is […]
Collaborative Research: CPS: Medium: An Online Learning Framework for Socially Emerging Mixed Mobility
Emerging mobility systems, e.g., connected and automated vehicles and shared mobility, provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better decisions for improving safety and transportation efficiency. However, different levels of vehicle automation in the transportation network can significantly alter transportation efficiency metrics (travel times, energy, environmental […]
Mark Crovella: Mapping the Internet in a New Age of Privacy
You can’t see it, but when you enter something in the search bar, there is a whole network of connections that happens. We typically don’t think about the internet having a map, but CISE faculty affiliate Mark Crovella, a founding member and faculty of Computing & Data Sciences, likened his work to figuring out what […]
Faster, Greener, Cheaper, More Secure: Yazicigil’s GRAND Project Pushes Forward with New Funding
CISE Faculty Affiliate Professor Rabia Yazicigil (ECE) and her MIT collaborators are on a roll. The multi-institutional team behind the GRAND universal decoder algorithm and its first realization in hardware have been awarded $5M in funding by the Defense Advanced Research Program Agency (DARPA) to continue developing revolutionary improvements to wireless communications. Alongside co-PIs Professor […]
Arslan Riaz awarded COMSNETS 2022 Best Research Demo Award
Arslan Riaz, PhD candidate (ECE), won the “Best Research Demo” award at the 14th International Conference on COMmunication Systems & NETworkS (COMSNETS 2022) January 3-8, 2022. Riaz demonstrated the first fully-integrated universal Maximum Likelihood Decoder in 40 nm CMOS using the Guessing Random Additive Noise Decoding (GRAND) algorithm. This novel technology provides a universal system for […]
Collaborative Research: SaTC: CORE: Medium: ONSET: Optics-enabled Network Defenses for Extreme Terabit DDoS Attacks
Distributed Denial of Service (DDoS) attacks continue to present a clear and imminent danger to critical network infrastructures. DDoS attacks have increased in sophistication with advanced strategies to continuously adapt (e.g., changing threat postures dynamically) and induce collateral damage (i.e., higher latency and loss for legitimate traffic). Furthermore, advanced attacks may also employ reconnaissance (e.g., […]
Collaborative Research: CNS Core: Medium: FROOT: Future-Proof, Trustworthy Telemetry on Heterogeneous Networks
With the growth of the Internet and its importance in supporting the US economy, business, health, education and other services, it is critical to ensure both high performance and high availability of the networks underlying it. Increasingly, such networks include a heterogeneous set of network switches and other devices which must be monitored and controlled […]