PPT-The “Taint” Leakage Model
Author : tawny-fly | Published Date : 2017-06-19
Ron Rivest Crypto in the Clouds Workshop MIT Rump Session Talk August 4 2008 Taint Common term in software security Any external input is tainted A computation
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The “Taint” Leakage Model: Transcript
Ron Rivest Crypto in the Clouds Workshop MIT Rump Session Talk August 4 2008 Taint Common term in software security Any external input is tainted A computation with a tainted input produces . Identity-Based Encryption Resilient to Continual Auxiliary Leakage. Siu. Ming . Yiu. Ye Zhang. Sherman Chow . See you at the next conference!. Hope you like . our slides. Hello everybody!. Outline. Problem Statement. Severaldifferentproposedmodelsofleakagehaveemerged, withanemphasisoncapturinglargegeneralclassesof leakage.Inthiswork,wewillfocusonthe continual-leakage model ,whichcameasanextensionoftheearlier bound . 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. Joël. Alwen, . Yevgeniy. . Dodis. , . Moni. . Naor. ,. Gil . Segev. , . Shabsi. . Walfish. , . Daniel . Wichs. . Earlier Today: . Yevgeniy. covered . ID schemes, Signatures, Interactive Encryption/Authentication/AKA. in the . B. ounded-. R. etrieval . M. odel. Joël. Alwen, . Yevgeniy. . Dodis. , . Moni. . Naor. , Gil . Segev. , . Shabsi. . Walfish. , Daniel . Wichs. . Speaker: Daniel . Wichs. . 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. Yinzhi Cao. Reference: . http. ://www.cs.tau.ac.il/~. omertrip/pldi09/TAJ.ppt. www.cs.cmu.edu/~. soonhok/talks/20110301.pdf. 2. Motivating Example. *. * Inspired by . Refl1. in. SecuriBench Micro. Taint Flow #1. Ron Rivest. Crypto in the Clouds Workshop, MIT Rump Session Talk. August 4, 2008. Taint . Common term in software security. Any external input is . tainted. . . A computation with a . tainted. input produces . Suman Jana. Dynamic Taint Analysis. Track information flow through a program at runtime. Identify sources of taint – . “. TaintSeed. ”. What are you tracking?. Untrusted input. Sensitive data. Taint Policy – . Yinzhi Cao. Reference: . http. ://www.cs.tau.ac.il/~. omertrip/pldi09/TAJ.ppt. www.cs.cmu.edu/~. soonhok/talks/20110301.pdf. 2. Motivating Example. *. * Inspired by . Refl1. in. SecuriBench Micro. Taint Flow #1. Ron Rivest. Crypto in the Clouds Workshop, MIT Rump Session Talk. August 4, . 2009. Taint . Common term in software security. Any external input is . tainted. . . A computation with a . tainted. input produces . Dynamic Taint Analysis. Track information flow through a program at runtime. Identify sources of taint – . “. TaintSeed. ”. What are you tracking?. Untrusted input. Sensitive data. Taint Policy – . A critical aspect of air pollution exposure assessments is estimation of the air exchange rate (AER) for various buildings where people spend their time. important determinant for entry removal of ind Matteo Patelmo, Pietro . Micciche’. - STMicroelectronics. Christopher . Gotwalt. - JMP. Agenda. 1. Introduction to STMicroelectronics . 2. Problem Description. 3. Traditional Method. 4. FDE Method.
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