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Hiding Data - Selected Topics - Rudolf Ahlswede's Lectures on Information Theory 3 (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R3,155
Discovery Miles 31 550
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Hiding Data - Selected Topics - Rudolf Ahlswede's Lectures on Information Theory 3 (Paperback, Softcover reprint of the original 1st ed. 2016)
Series: Foundations in Signal Processing, Communications and Networking, 12
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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, Rudiger 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.
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