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Thomas Kopylov
Thomas Kopylov

Explore the Fascinating World of Information Theory, Coding and Cryptography with Ranjan Bose


Ranjan Bose, Information Theory, Coding and Cryptography




Information theory, coding and cryptography are three interrelated fields that deal with the efficient and secure transmission of data over noisy and unreliable channels. These fields have applications in various domains such as communication, data compression, encryption, error correction, digital watermarking, steganography, biometrics, quantum computing and more. In this article, we will introduce you to Ranjan Bose, a renowned expert and author in these fields, and his contributions to the education and research of information theory, coding and cryptography.




ranjan bose, information theory, coding and cryptography


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Introduction




Before we dive into the details of Ranjan Bose's book and course on information theory, coding and cryptography, let us first briefly explain what these terms mean and why they are important.


Who is Ranjan Bose?




Ranjan Bose is a professor of electrical engineering at the Indian Institute of Technology (IIT) Delhi. He received his B.Tech degree from IIT Kharagpur in 1989, his M.S. degree from Virginia Tech in 1991, and his Ph.D. degree from University of Pennsylvania in 1996. He has been a faculty member at IIT Delhi since 1997. He is also the director of the Institute for Infocomm Research (I2R) at IIT Delhi.


Ranjan Bose is a leading researcher and educator in the fields of information theory, coding and cryptography. He has published over 200 papers in reputed journals and conferences, and has authored two books: Information Theory, Coding and Cryptography (2008) and Modern Problems in Classical Electrodynamics (2009). He has also received several awards and honors for his academic excellence and contributions to the society, such as the Shanti Swarup Bhatnagar Prize (2010), the NASI-Reliance Industries Platinum Jubilee Award (2015), the IEEE Region 10 Outstanding Volunteer Award (2016), and the IIT Delhi Distinguished Alumni Award (2017).


What is Information Theory?




Information theory is a branch of mathematics that studies the quantification, storage, transmission and processing of information. It was founded by Claude Shannon in his landmark paper "A Mathematical Theory of Communication" (1948), where he introduced the concepts of entropy, mutual information, channel capacity, source coding theorem, noisy channel coding theorem and more. Information theory provides the fundamental limits and principles for data compression, data transmission, data encryption, data analysis and data inference.


What is Coding?




Coding is a process of transforming data from one form to another according to some rules or algorithms. There are two main types of coding: source coding and channel coding. Source coding aims to reduce the redundancy or irrelevance of data by compressing it into a smaller representation without losing much information. Examples of source coding techniques are Huffman coding, arithmetic coding, Lempel-Ziv coding, run-length encoding etc. Channel coding aims to protect data from errors or noise by adding some redundancy or structure to it that can be used for detection or correction. Examples of channel coding techniques are Hamming codes, cyclic codes, BCH codes, Reed-Solomon codes, convolutional codes, turbo codes etc.


What is Cryptography?




Cryptography is a science of securing data by using mathematical techniques and algorithms. It involves two main aspects: encryption and decryption. Encryption is a process of converting data from a readable form (plaintext) to an unreadable form (ciphertext) by using a secret key. Decryption is a process of converting data from an unreadable form (ciphertext) to a readable form (plaintext) by using the same or a different secret key. Cryptography ensures the confidentiality, integrity, authenticity and non-repudiation of data. Examples of cryptography algorithms are DES, IDEA, PGP, RSA, DH protocol etc.


Information Theory, Coding and Cryptography by Ranjan Bose




One of the most popular and comprehensive books on information theory, coding and cryptography is written by Ranjan Bose. The book was first published in 2008 by Tata McGraw-Hill and has been widely used as a textbook for undergraduate and graduate courses in engineering and computer science. The book covers both the theoretical and practical aspects of these fields and provides numerous examples, problems and exercises for the readers.


Overview of the book




The book consists of 12 chapters and 326 pages. The chapters are organized as follows:



  • Chapter 1: Introduction to Information Theory



  • Chapter 2: Information Measures



  • Chapter 3: Source Coding



  • Chapter 4: Channel Models and Channel Capacity



  • Chapter 5: Channel Coding



  • Chapter 6: Linear Block Codes



  • Chapter 7: Cyclic Codes



  • Chapter 8: BCH Codes



  • Chapter 9: Convolutional Codes



  • Chapter 10: Turbo Codes



  • Chapter 11: Cryptography



  • Chapter 12: Physical Layer Security



Main topics covered in the book




Source coding and compression




The book introduces the basic concepts of information theory such as entropy, mutual information, conditional entropy, joint entropy, relative entropy etc. It also explains the source coding theorem that states the minimum number of bits required to represent a source without losing any information. It then describes various source coding techniques such as variable length codes, prefix codes, Huffman coding, arithmetic coding, Lempel-Ziv coding, run-length encoding etc. It also gives an example of practical application of source coding in JPEG compression.


Channel coding and error control




The book introduces the basic concepts of channel models such as binary symmetric channel, binary erasure channel, Gaussian channel etc. It also explains the channel capacity theorem that states the maximum rate at which information can be reliably transmitted over a noisy channel. It then describes various channel coding techniques such as linear block codes, cyclic codes, BCH codes, Reed-Solomon codes, convolutional codes, turbo codes etc. It also gives examples of practical applications of channel coding in CDMA, GSM, Wi-Fi etc.


Cryptography and security




The book introduces the basic concepts of cryptography such as symmetric key cryptography, asymmetric key cryptography, public key cryptography etc. It also explains some well-known cryptography algorithms such as DES, IDEA, PGP, RSA, DH protocol etc. It also gives examples of practical applications of cryptography in e-commerce, e-mail, digital signature etc. It then introduces the concept of physical layer security that deals with the secrecy capacity and secrecy outage probability of wireless channels. It also describes some techniques for enhancing physical layer security such as cooperative jamming.


Benefits of reading the book




The book is beneficial for anyone who wants to learn about information theory, coding and cryptography in a systematic and rigorous way. The book provides:



  • A clear and concise explanation of the fundamental concepts and principles.



  • A balanced coverage of both the theory and practice of these fields.



  • A large number of examples, problems and exercises to enhance the understanding and application of these fields.



  • A comprehensive reference for further study and research in these fields.



MOOCs course on Introduction to Information Theory, Coding and Cryptography by Ranjan Bose




In addition to his book, Ranjan Bose has also developed a MOOCs course on Introduction to Information Theory, Coding and Cryptography that is available online for free. The course is based on his book and covers the same topics in a more interactive and engaging way. The course consists of 39 lectures that are already recorded and available on ETSC's internal website.


Overview of the course




The course is a 13-week online course that consists of 39 lectures. The lectures are already recorded and available on ETSC's internal website. The course is based on Ranjan Bose's book and covers the same topics in a more interactive and engaging way. The course is suitable for anyone who wants to learn about information theory, coding and cryptography in a systematic and rigorous way. The course also provides assignments and quizzes to test the understanding and application of these fields.


Main topics covered in the course




Information measures and source coding




The course introduces the basic concepts of information theory such as entropy, mutual information, conditional entropy, joint entropy, relative entropy etc. It also explains the source coding theorem that states the minimum number of bits required to represent a source without losing any information. It then describes various source coding techniques such as variable length codes, prefix codes, Huffman coding, arithmetic coding, Lempel-Ziv coding, run-length encoding etc. It also gives an example of practical application of source coding in JPEG compression.


Channel models and channel capacity




The course introduces the basic concepts of channel models such as binary symmetric channel, binary erasure channel, Gaussian channel etc. It also explains the channel capacity theorem that states the maximum rate at which information can be reliably transmitted over a noisy channel. It then describes various channel models and their capacities such as discrete memoryless channels, Gaussian channels, MIMO channels etc.


Error control coding techniques




The course introduces the basic concepts of error control coding such as linear block codes, cyclic codes, BCH codes, Reed-Solomon codes, convolutional codes, turbo codes etc. It also explains how to encode and decode these codes using various methods such as generator matrix, parity check matrix, syndrome decoding, Viterbi decoding etc. It also gives examples of practical applications of error control coding in CDMA, GSM, Wi-Fi etc.


Cryptography algorithms and physical layer security




The course introduces the basic concepts of cryptography such as symmetric key cryptography, asymmetric key cryptography, public key cryptography etc. It also explains some well-known cryptography algorithms such as DES, IDEA, PGP, RSA, DH protocol etc. It also gives examples of practical applications of cryptography in e-commerce, e-mail, digital signature etc. It then introduces the concept of physical layer security that deals with the secrecy capacity and secrecy outage probability of wireless channels. It also describes some techniques for enhancing physical layer security such as cooperative jamming.


Benefits of taking the course




The course is beneficial for anyone who wants to learn about information theory, coding and cryptography in a systematic and rigorous way. The course provides:



  • A clear and concise explanation of the fundamental concepts and principles.



  • A balanced coverage of both the theory and practice of these fields.



  • A large number of examples, problems and exercises to enhance the understanding and application of these fields.



  • A comprehensive reference for further study and research in these fields.



  • A flexible and convenient way of learning at your own pace and place.



Conclusion




In this article, we have introduced you to Ranjan Bose, a renowned expert and author in the fields of information theory, coding and cryptography. We have also given you an overview of his book and his course on these topics. We hope that this article has aroused your curiosity and interest in these fields and motivated you to read his book or take his course. Information theory, coding and cryptography are fascinating and important fields that have applications in various domains such as communication, data compression, encryption, error correction, digital watermarking, steganography, biometrics, quantum computing and more. By learning these fields from Ranjan Bose's book or course, you will gain a solid foundation and a competitive edge in these fields.


FAQs




Here are some frequently asked questions about Ranjan Bose's book and course on information theory, coding and cryptography:



  • Q: Where can I buy Ranjan Bose's book?



  • A: You can buy Ranjan Bose's book from Amazon or Flipkart or any other online or offline bookstore.



  • Q: Where can I access Ranjan Bose's course?



  • A: You can access Ranjan Bose's course from ETSC's internal website or from NPTEL's website.



  • Q: How much does Ranjan Bose's course cost?



  • A: Ranjan Bose's course is free of cost. You can enroll and learn from it without paying any fee.



  • Q: How can I get a certificate for Ranjan Bose's course?



  • A: You can get a certificate for Ranjan Bose's course by registering for the proctored exam and paying a nominal fee. The exam will be conducted online and you will need to score at least 40% to pass the exam and get the certificate.



  • Q: What are the prerequisites for Ranjan Bose's course?



  • A: The prerequisites for Ranjan Bose's course are basic exposure to linear algebra and probability theory, as well as, a course in digital communications.



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