PPT-Secure Autonomous CPS Through Verifiable Information Flow Control

Author : mitsue-stanley | Published Date : 2018-11-10

Jed Liu Joe CorbettDavies Andrew Ferraiuolo Alexander Ivanov Mulong Luo G Edward Suh Andrew C Myers Mark Campbell 4 th ACM Workshop on CyberPhysical Systems Security

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Secure Autonomous CPS Through Verifiable Information Flow Control: Transcript

Jed Liu Joe CorbettDavies Andrew Ferraiuolo Alexander Ivanov Mulong Luo G Edward Suh Andrew C Myers Mark Campbell 4 th ACM Workshop on CyberPhysical Systems Security and Privacy. Paata. J. Kervalishvili. 2. nd. SENS-ERA Workshop on “Advanced Sensor Systems and Networks” . TEI Piraeus, Athens, Greece December 6, 2012. These works are performed in close cooperation . with US colleagues lead by Prof. Alex Wiglinsky . Chris Schwarz. National Advanced Driving Simulator. Acknowledgements. Mid-America Transportation Center. 1 year project to survey literature and report on state of the art in autonomous vehicles. Co-PI: Prof. . Flow Control determines how a network resources, such as . channel bandwidth . , . buffer capacity . and . control state . are allocated to packet traversing the network .. One can view flow control : . adaptive. . anti-slug. control system for production maximization. Vinicius de Oliveira. Johannes Jäschke. Sigurd Skogestad. Department of Chemical Engineering, . NTNU, Trondheim, Norway. Two-phase pipe flow. A. utonomous . S. urface Vehicles (ASV). Co-Leaders: Forrest Walen, Justyn . Sterritt. Team Members: Andrea . Dargie. , Paul Willis, Phil . Goff, Lucas Davies, Ben Novak . Advisor: Dr. May-Win . Thein. Towards Practical Verifiable Graph Processing. Yupeng. Zhang, . Charalampos. . Papamanthou. and . Jonathan . Katz. University of . Maryland. Agenda. Background of verifiable computation and motivation. Stanley . Bak. University of Illinois at Urbana-Champaign. (Some slides from Joel . Van Der . Woude. ). Problem . Cyber-physical systems are vulnerable to cyber attack.. Attacks on critical infrastructure bring physical consequences.. adaptive. . anti-slug. control system for production maximization. Vinicius de Oliveira. Johannes Jäschke. Sigurd Skogestad. Department of Chemical Engineering, . NTNU, Trondheim, Norway. Two-phase pipe flow. for Cloud and . IoT. -Cloud. Jean Bacon. Computer Laboratory. University of Cambridge. jean.bacon@cl.cam.ac.uk. www.cl.cam.ac.uk/~jmb25. . 1. Projects. CloudSafetyNet. (EPSRC), . with Imperial College, . Yupeng. Zhang. , Daniel . Genkin. , Jonathan Katz, . Dimitrios. Papadopoulos and . Charalampos. . Papamanthou. . Cloud Computing. Individuals . Companies. Universities. Security Issue: Integrity. Technical College System of Georgia. Office of Adult Education. FY2013. O.C.G.A. § 50-36-1. Agencies of the State providing or administering a public benefit (adult education) must require every applicant . Technical College System of Georgia. Office of Adult Education. FY2014. O.C.G.A. § 50-36-1. State agencies providing a public benefit must require applicants ages 18 and over to:. Provide one secure and verifiable document. Biologically Inspired Turn Control for Autonomous Mobile Robots Xavier Perez-Sala, Cecilio Angulo, Sergio Escalera Motivation Motivation Path planning Robot navigation Path execution Autonomy and roboticsTechnical aspects of human controlGeneva August2019CONTENTSEXECUTIVE SUMMARY21INTRODUCTION32AUTONOMY IN WEAPON SYSTEMS521Characteristics522Trends in existing weapons523Possible fu

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