Error Correcting Coding and Security for Data Networks: Analysis of the Superchannel Concept / Edition 1

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Overview

In this new approach, the authors consider the data network as a channel (in the sense of information theory) with several layers. The suggested "global" approach to coding in a network is consequently connected with other network procedures, such as protocols, and this determines complexity and originality of the problems of coding within the network. The authors distinguish different coding processes at 3 network layers (data link layer, transport layer and presentation layer) and investigate the impact of coding from one layer to another. Thus the problem of reconciliation of coding of different network layers arises and the authors suggest enlightening solutions to this problem.

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Editorial Reviews

From the Publisher
"…a comprehensive view of error coding theory and explores its use and implementation at all network layers…" (Computing Reviews.com, February 1, 2006)
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Product Details

  • ISBN-13: 9780470867549
  • Publisher: Wiley
  • Publication date: 3/25/2005
  • Edition number: 1
  • Pages: 288
  • Product dimensions: 6.83 (w) x 10.04 (h) x 0.84 (d)

Table of Contents

Preface.

1 Problems Facing Error Control Coding in DataNetworks.

1.1 International Recommendations on Using Error Control Codingat Different Network Layers.

1.2 Classification of Problems on Coding in Networks.

2 Block Codes.

2.1 Main Definitions.

2.2 Algebraic Structures.

2.3 Linear Block Codes.

2.4 Cyclic Codes.

2.5 Bounds on Minimum Distance.

3 General Methods of Decoding of Linear Codes.

3.1 Minimum Distance Decoding.

3.2 Information Set Decoding.

3.3 A Supercode Decoding Algorithm.

3.4 The Complexity of Decoding in the Channel with IndependentErrors.

4 Codes with Algebraic Decoding.

4.1 Hamming Codes.

4.2 Reed-Solomon Codes.

4.3 BCH Codes.

4.4 Decoding of BCH Codes.

4.5 The Sudan Algorithm and its Extensions.

5 Decoding of LDPC Codes.

5.1 Low-Density Parity-Check Codes.

5.2 LDPC Constructions.

5.3 Estimating the Minimum Distance of EG-LDPC Codes.

5.4 Burst-Error-Correcting LDPC Codes.

5.5 Decoding Schemes of LDPC Codes.

5.6 Simulation Results in AWGN.

Appendix 5.A Euclidean Geometries.

6 Convolutional Codes and Turbo-Codes.

6.1 Convolutional Codes Representation and Encoding.

6.2 Viterbi Decoding Algorithm.

6.3 List Decoding.

6.4 Sequential Decoding.

6.5 Parallel-Concatenated Convolutional Codes and Soft InputSoft Output Decoding.

6.6 SISO Decoding Algorithms.

7 Coding of Messages at the Transport Layer of the DataNetwork.

7.1 Decreasing the Message Delay with the help of TransportCoding.

7.2 Transmission of Message during Limited Time.

7.3 Transmission of Priority Messages without using PriorityPackets .

7.4 Estimation of the Effectiveness of Transport Coding for theNonexponential Model of Packet Delay.

8 Providing Security of Data in a Network with the Help ofCoding Methods.

8.1 Public-Key Cryptography.

8.2 Codebased Cryptosystems: McEliece and Niederreiter.

8.3 Cryptosystems Based on Full Decoding.

8.4 Further Development of Codebased Cryptosystems.

8.5 Codebased Cryptosystems and RSA: Comparison andPerspectives.

8.6 Codebased Signature.

9 Reconciliation of Coding at Different Layers of aNetwork.

9.1 Transport Coding in a Network with Unreliable Channels.

9.2 Reconciliation of Channel and Transport Coding.

9.3 Use of Tornado Codes for Reconciliation of Channel andTransport Coding.

9.4 Development of Coding Methods at the Presentation Layer.

9.5 Reconciliation of Coding at Neighbour Layers of aNetwork.

Index.

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