Download or read book Random Linear Network Coding with Added Prefix Bits written by Joshua Taylor Mickey and published by . This book was released on 2017 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Network Coding for Multihop Wireless Networks written by Misfa Susanto and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book On the Application of Random Linear Network Coding for Network Security and Diagnosis written by Elias Kehdi and published by . This book was released on 2009 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent studies show that network coding improves multicast session throughput. In this thesis, we demonstrate how random linear network coding can be incorporated to provide security and network diagnosis for peer-to-peer systems. First, we seek to design a security scheme for network coding architectures which are highly susceptible to jamming attacks. We evaluate Null Keys, a novel and computationally efficient security algorithm, by studying its application in real-world topologies. Null Keys is a cooperative security based on the subspace properties of network coding. We then present a new trace collection protocol that allows operators to diagnose peer-to-peer networks. Existing solutions are not scalable and fail to collect measurements from departed peers. We use progressive random linear network coding to disseminate the traces in the network, from which the server pulls data in a delayed fashion. We leverage the power of progressive encoding to increase block diversity and tolerate block losses.

Download or read book Compromising Random Linear Network Coding as a Cipher written by Sravya Bethu and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its potential improvement on network throughput, network coding has attracted considerable research interests. Random Linear Network Coding (RLNC), as a branch of research on network coding, is proposed as a cipher to protect the confidentiality of packets possibly on the future Internet due to its features such as packet mixing in a decentralized approach. In this paper, we propose attacks to compromise RLNC as a cipher for confidentiality protection. The attacks are based on the blind source separation (BSS) technique, a statistical signal processing technique designed to recover original signals based on mixtures of original signals. We also design the scaling step to filter out artifacts generated by BSS algorithms and the cross-checking steps to increase confidence on packets recovered by the proposed attacks. Our extensive experiments on packets collected from the Internet and a campus network show that the attacks can successfully recover about 1% of original packets.

Download or read book Advanced Error Control Scheme for Noncoherent Random Linear Network Coding written by Hongmei Xie and published by . This book was released on 2015 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random linear network coding (RLNC) has shown advantages in improved throughput, robustness, and reduced delay over traditional routing in a communication network. However, the underlying finite field has to be large enough for RLNC to work effectively, leading to high computational complexity. This dissertation proposes efficient decoding algorithms for RLNC with and without error control schemes, as well as new error control code constructions for a particular realization of RLNC, the coding for distributed storage systems (DSSs).

Download or read book Adaptive Random Linear Network Coding with Controlled Forwarding for Wireless Broadcast written by Kashif Mahmood and published by . This book was released on 2010 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Information Theory and Network Coding written by Raymond W. Yeung and published by Springer Science & Business Media. This book was released on 2008-09-10 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy. The last few years have witnessed the rapid development of network coding into a research ?eld of its own in information science. With its root in infor- tion theory, network coding has not only brought about a paradigm shift in network communications at large, but also had signi?cant in?uence on such speci?c research ?elds as coding theory, networking, switching, wireless c- munications,distributeddatastorage,cryptography,andoptimizationtheory. While new applications of network coding keep emerging, the fundamental - sults that lay the foundation of the subject are more or less mature. One of the main goals of this book therefore is to present these results in a unifying and coherent manner. While the previous book focused only on information theory for discrete random variables, the current book contains two new chapters on information theory for continuous random variables, namely the chapter on di?erential entropy and the chapter on continuous-valued channels. With these topics included, the book becomes more comprehensive and is more suitable to be used as a textbook for a course in an electrical engineering department.

Download or read book Algebraic Codes for Random Linear Network Coding written by Maximilien Gadouleau and published by ProQuest. This book was released on 2009 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 2 investigates the properties of rank metric codes through a geometric approach. We study the fundamental problems of sphere packing and sphere covering in the rank metric, and our results provide guidelines on the design of rank metric codes.

Download or read book Characterisation and Performance Analysis of Random Linear Network Coding for Reliable and Secure Communication written by Amjad Saeed Khan and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simplified Random Network Codes for Multicast Networks written by Anna H. Lee and published by . This book was released on 2005 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network coding is a method of data transmission across a network which involves coding at intermediate nodes. Network coding is particularly attractive for multicast. Building on the work done on random linear network codes, we develop a constrained, simplified code construction suitable for multicast in wireless networks. We analyze bounds on sufficient code size and code success probability via an algebraic framework for network coding. We also present simulation results that compare generalized random network codes with our code construction. Issues unique to the simplified code are explored and a relaxation of the code to improve code performance is discussed.

Download or read book Performance of Random Network Coding for Data Dissemination written by Clifford Choute and published by . This book was released on 2005 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network coding is an alternative to traditional store-and-forward routing and is known to be necessary to achieve network capacity. It has also been shown randomized network coding is robust, and far outperforms store-and-forward for multicast. While much focus has been on the data rates achievable with coding, we focus on the time needed to broadcast a finite amount of data throughout networks using distributed randomized linear coding. We consider networks with increasingly complex graphs. We use analysis of the dissemination time using coding in the line network to discuss the performance of coding in networks with more complex topologies, such as the Manhattan grid network.

Download or read book Making Coding Practical written by Hassan Shojania and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental insight of use of coding in computer networks is that information to be transmitted from the source in a session can be inferred, or decoded, by the intended receivers, and does not have to be transmitted verbatim. Several coding techniques have gained popularity over the recent years. Among them is random network coding with random linear codes, in which a node in a network topology transmits a linear combination of incoming, or source, packets to its outgoing links. Theoretically, the high computational complexity of random linear codes (RLC) is well known, and is used to motivate the application of more efficient codes, such as the traditional Reed-Solomon (RS) codes and, more recently, fountain codes (LT codes). Factors like computational complexity, network overhead, and deployment flexibility can make one coding schemes more attractive for one application than the others. While there is no one-fit-all coding solution, random linear coding is very flexible, well known to be able to achieve optimal flow rates in multicast sessions, and universally adopted in all proposed protocols using network coding. However, its practicality has been questioned, due to its high computational complexity. Unfortunately, to date, there has been no commercial real-world system reported in the literature that take advantage of the power of network coding. This research represents the first attempt towards a high-performance design and implementation of network coding. The objective of this work is to explore the computational limits of network coding in off-the-shelf modern processors, and to provide a solid reference implementation to facilitate commercial deployment of network coding. We promote the development of new coding-based systems and protocols through a comprehensive toolkit with coding implementations that are not just reference implementations. Instead, they have attained high-performance and flexibility to find widespread adoption. The final work, packaged as a toolkit code-named Tenor, includes high-performance implementations of a number of coding techniques: random linear network coding (RLC), fountain codes (LT codes), and Reed-Solomon (RS) codes in CPUs (single and multi core(s) for both Intel x86 and IBM POWER families), GPUs (single and multiple), and mobile/embedded devices based on ARMv6 and ARMv7 cores. Tenor is cross-platform with support on Linux, Windows, Mac OS X, and iPhone OS, and supports both 32-bit and 64-bit platforms. The toolkit includes some 23K lines of C++ code. In order to validate the effectiveness of the Tenor toolkit, we build coding-based on-demand media streaming systems with GPU-based servers, thousands of clients emulated on a cluster of computers, and a small number of actual iPhone devices. To facilitate deployment of such large experiments, we develop Blizzard, a high-performance framework, with the main goals of: 1) emulating hundreds of client/peer applications on each physical node; 2) facilitating scalable servers that can efficiently communicate with thousands of clients. Our experiences offer an illustration of Tenor components in action, and their benefits in rapid system development. With Tenor, it is trivial to switch from one coding technique to another, scale up to thousands of clients, and deliver actual video to be played back even on mobile devices.

Download or read book Networking and Computation written by Thomas G. Robertazzi and published by Springer Nature. This book was released on 2020-03-17 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This useful volume adopts a balanced approach between technology and mathematical modeling in computer networks, covering such topics as switching elements and fabrics, Ethernet, and ALOHA design. The discussion includes a variety of queueing models, routing, protocol verification and error codes and divisible load theory, a new modeling technique with applications to grids and parallel and distributed processing. Examples at the end of each chapter provide ample material for practice. This book can serve as an text for an undergraduate or graduate course on computer networks or performance evaluation in electrical and computer engineering or computer science.

Download or read book IEEE ACM Transactions on Networking written by and published by . This book was released on 2009 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Information Theory and Coding by Example written by Mark Kelbert and published by Cambridge University Press. This book was released on 2013-09-12 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable teaching aid. Provides relevant background material, many examples and clear solutions to problems taken from real exam papers.

Download or read book Data Communication and Network Systems written by Prof. Krishan Kumar Raman & Prof. Jai Parkash and published by K.K. Publications. This book was released on 2021-09-10 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Communication and Network Systems This book is an attempt to explain the basic fundamentals of Data Communications and Networks systems. A revolution in wireless and mobile communications began in the first decade of the 20th century with pioneering developments in wireless radio communications by Nikola Tesla and Guglielmo Marconi in Physics in 1909 for his efforts. It includes new standards, new levels, new sets of protocols and various data communication facilities in the field of communication and computer field the book a readable and students friendly format which is according to the requirement of students, teachers and professionals in the field of the research area, underpinning up-to-date advanced topic in education.

Download or read book Information Theory Inference and Learning Algorithms written by David J. C. MacKay and published by Cambridge University Press. This book was released on 2003-09-25 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.