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The aim of cryptography is to design primitives and protocols that withstand adversarial behavior. Information theoretic cryptography, how-so-ever desirable, is extremely restrictive and most non-trivial cryptographic tasks are known to be information theoretically impossible. In order to realize sophisticated cryptographic primitives, we forgo information theoretic security and assume limitations on what can be efficiently computed. In other words we attempt to build secure systems conditioned on some computational intractability assumption such as factoring, discrete log, decisional Diffie-Hellman, learning with errors, and many more. In this work, based on the 2013 ACM Doctoral Dissertation Award-winning thesis, we put forth new plausible lattice-based constructions with properties that approximate the sought after multilinear maps. The multilinear analog of the decision Diffie-Hellman problem appears to be hard in our construction, and this allows for their use in cryptography. These constructions open doors to providing solutions to a number of important open problems.
This book explains the development of cryptographic obfuscation, providing insight into the most important ideas and techniques. It will be a useful reference for researchers in cryptography and theoretical computer science.
Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi
The Newberg Report pulls back the curtain on The Texas Rangers baseball team by taking a look at everything from what the organization does to the intuitive emphasis on the ¿how¿ and the ¿why.¿ The book, now in its 10th edition, encourages casual fans to get more involved while providing hardcore fans with a forum to discuss their beloved team. It¿s written by ¿baseball guru¿ Jamey Newberg.
This comprehensive guide to modern data encryption makes cryptography accessible to information security professionals of all skill levels—with no math expertise required Cryptography underpins today’s cyber-security; however, few information security professionals have a solid understanding of these encryption methods due to their complex mathematical makeup. Modern Cryptography: Applied Mathematics for Encryption and Information Security leads readers through all aspects of the field, providing a comprehensive overview of cryptography and practical instruction on the latest encryption methods. The book begins with an overview of the evolution of cryptography and moves on to modern prot...
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