Cryptography in Constant Parallel Time

The author is a postdoctoral fellow at the Weizmann Institute of Science; his related thesis was honorably mentioned (runner-up) for the ACM Dissertation Award in 2007.

• Introduction.- Preliminaries and Definitions.- Randomized Encoding of Functions.- Cryptography in NC0.- Computationally Private Randomizing Polynomials and Their Applications.- On Pseudorandom Generators with Linear Stretch in NC0.- Cryptography with Constant Input Locality.- One-Way Functions with Optimal Output Locality.- App. A, On Collections of Cryptographic Primitives.

From the book reviews: "The book explores the minimal computational complexity of these cryptographic primitives necessary to keep them secure. ... This is an important book with groundbreaking results that will continue to influence research in this area for years to come. ... The ideal audience for this book comprises advanced graduate students or other researchers in the same field." (Burkhard Englert, Computing Reviews, August, 2014)