Results 251 to 260 of about 1,148,752 (292)
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On coding for secure computing
2015 IEEE International Symposium on Information Theory (ISIT), 2015In information theoretically secure multiparty computation, several mutually distrusting users want to jointly compute a function of their private data such that users do not learn any additional information about other users' data other than what they can infer from their own data and the function value they compute.
Deepesh Data, Vinod M. Prabhakaran
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IEEE Security & Privacy, 2017
The Zipr tool reverse-engineers binary code and applies specific and generic code transformations, with the goal of securing binary code.
William Hawkins 0001 +4 more
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The Zipr tool reverse-engineers binary code and applies specific and generic code transformations, with the goal of securing binary code.
William Hawkins 0001 +4 more
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On the Capacity Region for Secure Index Coding
, 2018 We study the index coding problem in the presence of an eavesdropper, where the aim is to communicate without allowing the eavesdropper to learn any single message aside from the messages it may already know as side information.
Young-Han Kim +2 more
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Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia, 2010
This paper examines QR Codes and how they can be used to attack both human interaction and automated systems. As the encoded information is intended to be machine readable only, a human cannot distinguish between a valid and a maliciously manipulated QR code.
Peter Kieseberg +6 more
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This paper examines QR Codes and how they can be used to attack both human interaction and automated systems. As the encoded information is intended to be machine readable only, a human cannot distinguish between a valid and a maliciously manipulated QR code.
Peter Kieseberg +6 more
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Secure Determinant Codes: Type-II Security
2020 IEEE International Symposium on Information Theory (ISIT), 2020The secure exact-repair regenerating codes are studied, for distributed storage systems with parameters (n,k = d,d,l). The secrecy constraint guarantees that the message remains secure against an eavesdropper who can observe the incoming repair data from all possible nodes to a fixed but unknown subset of (up to) l compromised nodes (type II secrecy).
Michelle Kleckler, Soheil Mohajer
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Is Secure Coding Education in the Industry Needed? An Investigation Through a Large Scale Survey [PDF]
, 2021 The Department of Homeland Security in the United States estimates that 90% of software vulnerabilities can be traced back to defects in design and software coding. The financial impact of these vulnerabilities has been shown to exceed 380 million USD in
Maria Pinto-Albuquerque +2 more
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Theory of Secure Network Coding
Proceedings of the IEEE, 2011In this tutorial paper, we focus on the basic theory of linear secure network coding. Our goal is to present fundamental results and provide preliminary knowledge for anyone interested in the area. We first present a model for secure network coding and then a necessary and sufficient condition for a linear network code to be secure.
Terence Chan, Ning Cai
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2008
Bugs in programs implementing security features can be catastrophic: for example they may be exploited by malign users to gain access to sensitive data. These exploits break the confidentiality of information. All security analyses assume that softwares implementing security features correctly implement the security policy, i.e.are security bug-free ...
Benjamin Monate, Julien Signoles
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Bugs in programs implementing security features can be catastrophic: for example they may be exploited by malign users to gain access to sensitive data. These exploits break the confidentiality of information. All security analyses assume that softwares implementing security features correctly implement the security policy, i.e.are security bug-free ...
Benjamin Monate, Julien Signoles
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Computer, 1997
The Java Virtual Machine does not offer a way for code obtained from trusted sources to be granted extra rights. The article describes two approaches to authentification for code distribution: one extends the JVM to include a digital signature in applets; the other uses MIME encapsulation to take advantage of available security infrastructures.
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The Java Virtual Machine does not offer a way for code obtained from trusted sources to be granted extra rights. The article describes two approaches to authentification for code distribution: one extends the JVM to include a digital signature in applets; the other uses MIME encapsulation to take advantage of available security infrastructures.
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Secure Determinant Codes: A Class of Secure Exact-Repair Regenerating Codes
2019 IEEE International Symposium on Information Theory (ISIT), 20191 We present a construction for exact-repair regenerating codes with an information-theoretic secrecy guarantee against an eavesdropper with access to the content of (up to) l nodes. The proposed construction works for the entire range of per-node storage and repair bandwidth for any distributed storage system with parameters (n, k = d, d, l), aiming ...
Michelle Kleckler, Soheil Mohajer
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