Error Correcting Coding And Security For Data Networks

Error correcting coding is often analyzed in terms of its application to the separate levels within the data network in isolation from each other.  In this fresh approach, the authors consider the data network as a superchannel (a multi-layered entity) which allows error correcting coding to be evaluated as it is applied to a number of  network layers as a whole.  By exposing the problems of applying error correcting coding in data networks, and by discussing coding theory and its applications, this original technique shows how to correct errors in the network through joint coding at different network layers

By progressing from theory through to practical problem solving, this resource contains invaluable advice for researchers, postgraduate students, engineers and computer scientists interested in data communications and applications of coding theory.

The problem of error control coding in data networks is very wide and not yet fully defined today so the authors do not claim to provide a full solution of the problem but are hoping that this book can become a fist step to further research in the fild.

TABLE OF CONTENT:
Chapter 1 - Problems Facing Error Control Coding in Data Networks
Chapter 2 - Block Codes
Chapter 3 - General Methods of Decoding of Linear Codes
Chapter 4 - Codes with Algebraic Decoding
Chapter 5 - Decoding of LDPC Codes
Chapter 6 - Convolutional Codes and Turbo-Codes
Chapter 7 - Coding of Messages at the Transport Layer of the Data Network
Chapter 8 - Providing Security of Data in a Network with the Help of Coding Methods
Chapter 9 - Reconciliation of Coding at Different Layers of a Network

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