The paper, “Preventing Outages under Coordinated Cyber-Physical Attack with Secured PMUs,” tackles a highly sophisticated and dangerous type of cyber-physical attack on the power transmission system by judiciously placing secured PMUs to limit the feasible space of attack vectors. Compared to existing approaches that use full-fledged PMU placement to achieve full observability and completely prevent […]
Demo on Collaborative LEGO Design accepted to INFOCOM’22
The demo, titled “A Scalable Mixed Reality Platform for Remote Collaborative LEGO Design”, demonstrates a platform based on mobile edge computing to support MR-based remote collaboration using the concrete example application of collaborative LEGO design (i.e., multiple remote collaborators jointly build the same LEGO set!). It was a preliminary work to bring our expertise on […]
Paper on “Communication-efficient kMeans” accepted to TPDS
The paper, Communication-efficient k-Means for Edge-based Machine Learning, is the journal version of our ICDCS’20 paper with the same title, and marks the conclusion of Hanlin’s publications during his PhD study. The work was funded by the DAIS-ITA program that just ended in September 2021. What a great way to start a new chapter and […]
Paper on “misreporting attacks in SDN” accepted to MONET’21
The paper, “Misreporting Attacks against Load Balancers in Software-Defined Networking,” which was just accepted for publication in Mobile Networks and Applications, is the journal version of our previous paper in SecureComm’20 that quantified for the first time the strategy and impact of a compromised/malicious switch intentionally misreporting loads to a load balancing application on the […]
Coreset work receives DAIS Awards
Our work on coreset, particularly “robust coreset construction”, was recognized at the close-out of DAIS-ITA through two awards in the categories of “Military Impact” and “Commercial Prosperity”. See DAIS Awards.
Paper on “Flow Table Security” accepted to TON
The paper, “Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks“, talks about how a host-based adversary can use the difference in packet delays to infer flow table state and policy, and then use the inferred information to design efficient DoS attacks. Its conference version was presented at INFOCOM’20.
Our proposal on “Inference and Control in Overlay Networks” got funded by NSF
The proposal, “Collaborative Research: CNS Core: Medium: Inference and Control in Overlay Networks”, proposes a joint project with Prof. Eytan Modiano at MIT to study the fundamental challenges and algorithms for observing and controlling a non-cooperative underlay network from the perspective of an overlay system. The Penn State team will lead the inference effort using […]
Hanlin passed his defense
Hanlin Lu worked primarily on data reduction techniques for reducing communication cost in distributed machine learning, with focus on coreset. Congratulations, Dr. Lu!
Paper on “adaptive FL” wins the 2021 IEEE Communications Society Leonard G. Abraham Prize
The paper, “Adaptive Federated Learning in Resource Constrained Edge Computing Systems,” published in IEEE Journal on Selected Areas in Communications, vol. 37, no. 6, pp. 1205-1221, Jun. 2019, is one of the first papers to rigorously study the optimization of federated learning tasks in the wireless edge network environment. Congrats to the whole team!
Paper on a better cascading failure model (CAMPR project) accepted to TPWRS
The paper, “Inclusion of Pre-Existing Undervoltage Load Shedding Schemes in AC-QSS Cascading Failure Models“, talks about improving the accuracy of AC-QSS based models of cascading failures in power grid by incorporating the effects of a built-in protection scheme (undervoltage load shedding) that will be activated in a distributed and autonomous manner during cascading. Congrats to […]