(DOWNLOAD) "Hiding Data - Selected Topics" by Alexander Ahlswede, Rudolf Ahlswede, Ingo Althöfer, Christian Deppe & Ulrich Tamm * Book PDF Kindle ePub Free
eBook details
- Title: Hiding Data - Selected Topics
- Author : Alexander Ahlswede, Rudolf Ahlswede, Ingo Althöfer, Christian Deppe & Ulrich Tamm
- Release Date : January 18, 2016
- Genre: Mathematics,Books,Science & Nature,
- Pages : * pages
- Size : 9234 KB
Description
Devoted to information security, this volume begins with a short course on cryptography, mainly based
on lectures given by Rudolf Ahlswede at the University of Bielefeld in the mid
1990s. It was the second of his cycle of lectures on information theory which
opened with an introductory course on basic coding theorems, as covered in
Volume 1 of this series. In this third volume, Shannon’s historical work on
secrecy systems is detailed, followed by an introduction to an
information-theoretic model of wiretap channels, and such important concepts as
homophonic coding and authentication. Once the theoretical arguments have been
presented, comprehensive technical details of AES are given. Furthermore, a
short introduction to the history of public-key cryptology, RSA and El Gamal
cryptosystems is provided, followed by a look at the basic theory of elliptic
curves, and algorithms for efficient addition in elliptic curves. Lastly, the
important topic of “oblivious transfer” is discussed, which is strongly
connected to the privacy problem in communication. Today, the importance of
this problem is rapidly increasing, and further research and practical realizations
are greatly anticipated.
This is the third of several volumes serving as the
collected documentation of Rudolf Ahlswede’s lectures on information theory.
Each volume includes comments from an invited well-known expert. In the
supplement to the present volume, Rüdiger Reischuk contributes his insights.
Classical information processing concerns the main tasks of gaining knowledge and the storage, transmission and hiding of data. The first task is the prime goal of Statistics. For transmission and hiding data, Shannon developed an impressive mathematical theory called Information Theory, which he based on probabilistic models. The theory largely involves the concept of codes with small error probabilities in spite of noise in the transmission, which is modeled by channels. The lectures presented in this work are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. The lectures can be used as the basis for courses or to supplement courses in many ways. Ph.D. students will also find research problems, often with conjectures, that offer potential subjects for a thesis. More advanced researchers may find questions which form the basis of entire research programs.