PPT-A Logic of Secure Systems with Tunable Adversary Models

Author : faustina-dinatale | Published Date : 2018-11-22

Jason Franklin With Anupam Datta Deepak Garg Dilsun Kaynar CyLab Carnegie Mellon University Motivation Secure Access to Financial Data 2 Network Goal An

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A Logic of Secure Systems with Tunable Adversary Models: Transcript

Jason Franklin With Anupam Datta Deepak Garg Dilsun Kaynar CyLab Carnegie Mellon University Motivation Secure Access to Financial Data 2 Network Goal An endtoend trusted path in presence of local and network adversaries. . Cryptography. Stefan. . Dziembowski. University. . of. . Rome. La Sapienza. Krzysztof. . Pietrzak. CWI Amsterdam. Plan. Motivation and introduction. Our model. Our construction. these slides are available at. Models, Adversaries, Reductions. Cryptography / Cryptology. “from. . Greek. . κρυ. πτός. . kryptós. , "hidden, secret"; and . γράφειν. . graphein. , "writing", or . -λογία. Stream ciphers are semantically secure. Online Cryptography Course Dan Boneh. Goal: secure PRG ⇒ semantically secure stream cipher. Stream ciphers are semantically secure. Shyamnath. . Gollakota. Nabeel. Ahmed. Nickolai. . Zeldovich. Dina . Katabi. . Secure Wireless Pairing is Important. Traditional solutions require user to enter or validate passwords. Entering or Validating Passwords is Difficult. Stephanie Lampron, . NDTAC. Agenda. Provide an . o. verview of the logic model . f. ramework for this conference. Discuss the different purposes of logic . m. odels. Demonstrate the sections of a logic model. . Cryptography. Stefan. . Dziembowski. University. . of. . Rome. La Sapienza. Krzysztof. . Pietrzak. CWI Amsterdam. Plan. Motivation and introduction. Our model. Our construction. these slides are available at. Anupam Datta, Jason Franklin, . Deepak . Garg. , and Dilsun Kaynar. Carnegie Mellon University. May 19, 2009. Secure System Designs. Security Property. System maintains integrity of OS and web server code.. Introduction. Jan . 8, 2013. IS 2620. James Joshi, . Associate Professor. Contact. James Joshi. 706A, IS Building. Phone: 412-624-9982 . E-mail: . jjoshi@mail.sis.pitt.edu. Web: . http://www.sis.pitt.edu/~jjoshi/courses/IS2620/Spring13/. Paul Cuff. Electrical Engineering. Princeton University. Overview. Application. A framework for secrecy of distributed systems. Theoretical result. Information theory in a competitive context (zero-sum game). Stephanie Lampron, . NDTAC. Agenda. Provide an . o. verview of the logic model . f. ramework for this conference. Discuss the different purposes of logic . m. odels. Demonstrate the sections of a logic model. Paul Cuff. Electrical Engineering. Princeton University. Secrecy. Source. Channel. Information Theory. Secrecy. Source Coding. Channel Coding. Main Idea. Secrecy for signals in distributed systems. Want low distortion for the receiver and high distortion for the eavesdropper.. Optional Session. LONG-TERM. INPUTS. ACTIVITIES. OUTPUTS. . SHORT-TERM. . MEDIUM-TERM. OUTCOMES. The Cancer Prevention and Control Research Network is supported by Cooperative Agreement Number 3 U48 DP005017-01S8 from the Centers for Disease Control and Prevention’s Prevention Research Centers Program and the National Cancer Institute. The content of this curriculum is based upon findings and experiences of workgroup members and does not necessarily represent the official position of the funders. Introduction to Provable Security Models, Adversaries, Reductions Cryptography / Cryptology “from Greek κρυ πτός kryptós , "hidden, secret"; and γράφειν graphein , "writing", or Anke. . Rohwer. , Andrew Booth, . Lisa Pfadenhauer, . Louise Brereton, . Ansgar. . Gerhardus. , Kati . Mozygemba. , . Wija. . Oortwijn. , Marcia . Tummers. , . Gert. Jan van der Wilt, Eva . Rehfuess.

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