Toccoa: Cloud-Scale Packet-Level Network Analytics in Software
Published in In Submission, 2020
Publications
Towards the Evaluation of NIDSs in Adversarial Settings
Published in Big-DAMA 2019: ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks, 2019
Recommended citation: M. Hashemi, G. Cusack, E. Keller. " Towards Evaluation of NIDSs in Adversarial Setting" ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks (Big-DAMA), 2019 https://gregcusack.github.io/files/Hashemi-Cusack-Keller-Towards-the-Evaluation-of-NIDSs-in-Adversarial-Setting.pdf
Efficient Microservices with Elastic Containers (Poster)
Published in CoNEXT ’19 Companion, 2019
Recommended citation: G. Cusack, M. Nazari, S. Goodarzy, P. Oberai, E. Rozner, E. Keller, R. Han."Efficient Microservices with Elastic Containers" CoNEXT ’19 Companion https://gregcusack.github.io/files/Elastic-Containers-Poster
Breaking The Trust Dependence on Third Party Processes For Reconfigurable Secure Hardware
Published in 27th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019
Recommended citation: M. Coughlin, G. Cusack, J. Wampler, E. Keller, E. Wustrow. "Breaking The Trust Dependence on Third Party Processes For Reconfigurable Secure Hardware" International Symposium on Field-Programmable Gate Arrays, 2019 https://gregcusack.github.io/files/Coughlin-Cusack-Wampler-Keller-Wustrow-Reconfigurable-Secure-Hardware.pdf
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses
Published in ACM Workshop on Artificial Intelligence and Security (AISec) with the 25th ACM Conference on Computer and Communications Security (CCS), 2018
Recommended citation: M. Hashemi, G. Cusack, E. Keller. "Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses" ACM Workshop on Artificial Intelligence and Security (AISec), 2018 https://gregcusack.github.io/files/Stochastic-Subsitute-Training-AISec18.pdf
Machine Learning-Based Detection of Ransomware Using SDN
Published in 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization (SDN-NFV Sec'18), 2018
Recommended citation: G. Cusack, O. Michel, E. Keller. "Machine Learning-Based Detection of Ransomware Using SDN." Workshop on SDN-NFV Security, 2018 https://gregcusack.github.io/files/Cusack-Michel-Keller-SDN-NFV-Workshop-2018.pdf
Machine Learning-Based Fingerprinting of Network Traffic Using Programmable Forwarding Engines (Poster)
Published in 2018 Network and Distributed System Security Symposium (NDSS), 2018
Recommended citation: G. Cusack, O. Michel, E. Keller. "Machine Learning-Based Fingerprinting of Network Traffic Using Programmable Forwarding Engines" Network and Distributed Systems Symposium, 2018 (Poster) https://gregcusack.github.io/files/Fingerprinting-network-traffic-NDSS-Poster-2018.pdf
Time Analysis of the Feasibility of Vehicular Blocktrees (Poster)
Published in SMARTOBJECTS’17, 2017
Recommended citation: J. Joy, G. Cusack, G. Gerla. " Poster: Time Analysis of the Feasibility of Vehicular Blocktrees" SMARTOBJECTS, 2017 https://gregcusack.github.io/files/Joy-Cusack-Gerla-vehicular-blockchains