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.
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 […]
CNS Core: Small: Building Resilience into Blockchains
Blockchains and cryptocurrencies have emerged as disruptive technologies with profound financial and societal impact. This state of affairs makes it imperative to gain better understanding of the dynamics and resilience of the underlying peer-to-peer networks on which blockchains operate. To this end, this project researches novel measurement methodologies, statistical modeling, and design approaches for distributed […]
Collaborative Research: CNS: Medium: Scalable Learning from Distributed Data for Wireless Network Management
The transition to 5G is expected to witness not only an emergence of new applications such as mobile augmented and virtual reality, but also opens up the attack surface to both known, and previously unknown threats. Thus, wireless networks of the future will need better control and management at different temporal and traffic aggregation granularities […]
Collaborative Research: SWIFT: Facilitating Spectrum Access by Noise Guessing
Wireless technologies play an essential role in enabling growth and prosperity in societies by supporting business, government, science and education, defense, and health sectors. The boom of connected Internet of Things (IoT) nodes and 5G wireless communications will lead to a many-fold increase in wireless data traffic. This data storm and connectivity-in-everything model will result […]
Understanding Social Dynamics Through Coevolving Latent Space Networks With Attractors
This research project will develop a general class of coevolving network models. In social systems, interactions frequently influence individual behavior and beliefs which can, in turn, impact interactions. Specific variants of this type of coevolutionary phenomenon include opinion dynamics, voter behavior, observational learning, herding or flocking, and polarization. Network-based models are natural for representing such […]
Creating Safe, Energy-Efficient Buildings in a Post-Covid World
Smart building technology has been a growing trend in the commercial real estate sector to help building owners and other stakeholders automate processes, reduce costs, boost energy efficiency, and improve the comfort of tenants. In a post-covid world, its adoption is expected to increase as safety amenities top the list of concerns of tenants planning […]