Retour sur la visite de Dr. John Jeffery Prevost : Première mobilité entrante financée par l’ICO

22 Jan 2024

Pendant la semaine du 9 au 13 octobre 2023, l’ICO a eu le plaisir d’accueillir le Dr. John Jeffery Prevost, Prof. à l’Université de Texas – San Antonio (États-Unis), qui a préparé un séminaire ouvert à tous intitulé “Securing Manufacturing Systems”, présenté au LIRMM (Montpellier) et à l’UT3 (Toulouse), dans le cadre de sa visite scientifique en Occitanie.

Ce fut l’occasion également de lui présenter des travaux des chercheurs occitans connexes aux siens afin d’enrichir les échanges et d’explorer des pistes de collaboration à l’avenir.

Ci-dessous un résumé de son exposé et sa biographie.

Abstract of the Seminar

As the executive director for the Open Cloud Institute (OCI), and the vice-president for secure cloud architecture for the Cyber Manufacturing Innovation Institute (CyManII), my research focuses on challenges related to cloudand edge computing and the Internet of Things. A recent thrust is in how to leverage advanced analytics to assistmanufacturers without creating new attack vectors which could be exploited by bad actors. Often, the platforms used in manufacturing were created before security became a motivating force. These systems provide manypathways for an adversary to perform an exploit, resulting in manufacturing downtime or theft of intellectualproperty. The Cloud Lab for Engineering Application Research (CLEAR), a part of the OCI, performs research to assist CyManII in understanding fundamental properties of cloud and edge computing that lead to implementations that can be tested in facilities such as Oak Ridge National Lab’s Manufacturing Demonstration Facility. The goal is to provide a commercial pathway to move the research out of the lab and into themanufacturing plant as quickly as possible. We will be presenting two research activities in this area. The first is the evolution of an acoustic analysis framework that can ‘listen’ to the manufacturing activity for anomalous activity (eg. Denial of service, GCode replacement and direct register over right attack). We will then turn our attention to device level attacks on FPGA boards. FPGA’s are commonly used in manufacturing to provide for real-time control of the manufacturing process and are often unsecured. We will show our research in how we are using a side-channel attack pattern to determine cryptographic keys in an isolated block of the FPGA. This has applications to services such as cloud-hosted FPGAs being currently offered by companies such as Intel.

Bio

Dr. John Jeffery Prevost attended Texas A&M University and received an undergraduate degree. At the Universityof Texas at San Antonio he completed his masters and Ph.D. He began his career in the tech industry, workingfor 15 years before pursuing an academic career. During his industry career, he worked in many differentpositions, serving in roles such as a chief consultant, Director of Information Systems, Director of ProductDevelopment, and Chief Technical Officer. He began his professional academic journey in 2013 as a professor ofresearch. In 2015, he co-founded and became the Chief Research Officer and Assistant Director of the OpenCloud Institute, where he currently serves as its Executive Director. In 2016, after serving as a professor ofresearch, he received his appointment as an Assistant Professor. He currently serves as the Cloud TechnologyEndowed Associate Professor in the Electrical and Computer Engineering Department at UTSA. He currently alsoserves as the VP for Secure Cloud Architecture for the Cyber Manufacturing Innovation Institute (CyManII). AtCyManII, he is co-lead for the Shared Research and Development Infrastructure foundational team. Working withon behalf of the needs of his industry connections, he established the Graduate Certificate in Cloud Computing,which officially began in 2017. Again, working with local tech leaders he created the Catalyst Lab, an internshipprogram for Graduate Students at UTSA. He remains an active consultant in areas of complex systems and cloudcomputing and continues to maintain strong ties with industry leaders. He is a member of Tau Beta Pi, Phi KappaPhi and Eta Kappa Nu Honor Societies, and is a Senior Member of IEEE. His current research interests includesecure and scalable real-time IoT, applied machine learning and applications of quantum algorithms.