Download or read book Network Coding for Network Tomography written by Pegah Sattari and published by . This book was released on 2012 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network tomography aims at inferring internal network characteristics, such as topology and/or link-level characteristics, such as loss rate or delay, based on measurements at the edge of the network. There is a significant body of work on this problem using multicast and/or unicast end-to-end probes. Independently, recent advances in network coding have shown that there are several advantages from allowing intermediate nodes to process and combine, in addition to just forward, incoming packets. In this dissertation, we revisit the problem of network tomography with network coding. We show that network coding offers several benefits in terms of complexity, accuracy, and bandwidth savings. Our key intuition is that network coding at intermediate nodes introduces topology-dependent correlation in the content of coded packets, which can then be exploited for inferring the coding points. This thesis makes three contributions. First, we revisit multiple-source loss tomography in tree topologies with multicast and network coding capabilities, and we provide, for the first time, a low-complexity Maximum Likelihood Estimator (MLE) for the link loss rates. In addition to the MLE, we also apply and evaluate message-passing algorithms for link loss estimation, both in trees and in general topologies. Second, we study the topology inference problem in multiple-source multiple-receiver (M-by-N) networks. We build on prior work, which infers a general M-by-N topology by first inferring several 2-by-2 subnetwork components, and then merging them to obtain the M-by-N topology. We show that, with simple network coding operations at intermediate nodes, it is possible to perfectly identify every 2-by-2 component, which was not possible previously using only multicast or unicast probes. Furthermore, we propose a new algorithm for merging all 2-by-2 components to obtain the M-by-N topology. We cast the problem as multiple hypotheses testing (in particular, generalized binary search), and we design a greedy algorithm that adaptively selects which 2-by-2 components to measure so as to minimize the number of measurements needed to infer the M-by-N topology, and we analyze its performance. In the last part of the thesis, we revisit the traceback problem, which arises in the context of denial-of-service attacks, where multiple attack sources flood a victim destination by sending a large number of packets. The goal of traceback is to identify the paths traversed by these malicious packets all the way back to the attack sources, by allowing intermediate nodes to mark a dedicated field on headers of packets passing through them with the node ID. We incorporate, for the first time, network coding in two different types of traceback schemes: probabilistic packet marking schemes and algebraic traceback. In probabilistic packet marking, routers probabilistically mark packets with a function of their router ID. We demonstrate the benefit of network coding, by essentially reducing the traceback problem to a coupon collector's problem. In contrast, algebraic traceback encodes the IDs of routers on a single path as coefficients in a polynomial of a single variable. We extend that idea to encode multiple paths into a multivariate polynomial and we establish a one-to-one mapping between multi-path algebraic traceback and a particular network coding problem.
Download or read book Network Tomography written by Ting He and published by Cambridge University Press. This book was released on 2021-05-27 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous yet accessible treatment of the fundamental theory and algorithms of network tomography.
Download or read book Accurate and Efficient Network Monitoring on Mesh Topologies Via Network Coding written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurate and efficient measurement of network-internal characteristics is critical for management and maintenance of large-scale networks. In this thesis, we propose a linear algebraic network tomography (LANT) framework for active inference of link loss rates on mesh topologies via network coding. Probe packets are transmitted from the sources to the destinations along a set of paths. Intermediate nodes linearly combine the received probes and transmit the coded probes using pre-determined coding coefficients. Although a smaller probe size can reduce the bandwidth usage of the network, the inference framework is not valid if the probe size falls below a certain threshold. To this end, we establish a tight lower bound on probe size which is necessary for establishing the mappings between the contents of the received probes and the losses on the different sets of paths. Then, we develop algorithms to find the coding coefficients such that the lower bound on probe size is achieved. Furthermore, we propose a linear algebraic approach to developing consistent estimators of link loss rates, which converge to the actual loss rates as the number of probes increases. We show that using the LANT framework, the identifiability of a link, which only depends on the network topology, is a necessary and sufficient condition for the consistent estimation of its loss rate. Simulation results show that the LANT framework achieves better estimation accuracy than the belief propagation (BP) algorithm for large number of probe packets.
Download or read book Network Coding written by Muriel Medard and published by Academic Press. This book was released on 2012 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Network coding Fundamentals -- Harnessing Network Coding in Wireless Systems -- Network Coding for Content Distribution and Multimedia Streaming in Peer-to-Peer Networks -- Network Coding in the Real World -- Network Coding and User Cooperation for Streaming and Download Services in LTE Networks -- CONCERTO: Experiences with a Real-World MANET System Based on Network Coding -- Secure Network Coding: Bounds and Algorithms for Secret and Reliable Communications -- Network Coding and Data Compression -- Scaling Laws with Network Coding -- Network Coding in Disruption Tolerant Networks.
Download or read book Application of Network Coding and Compressed Sensing in Networking written by Mohammad Hamed Firooz and published by . This book was released on 2013 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing adoption of data communication has resulted in dramatically higher capacity and performance. Communications engineers have historically optimized Physical (Phy)/Medium Access Control (MAC) layers to increase aggregate network throughput. However, in recent years, researchers have increasingly focused on understanding the other layers in networks, to improve their efficiency. The main objective of this work is to explore applications of recently developed ideas in coding and data acquisition for networking. Network coding has received considerable attention in recent years for its potential for achieving the theoretical upper bound (max-flow min-cut) of network resource utilization via the introduction of coding concepts at the network (IP) layer. Instead of just receiving a packet and forwarding it to the next suitable hop, intermediate nodes perform a linear operation upon receiving packets and broadcast the result to all of their neighbors. In this work, we exploit network coding for various applications in wired and wireless networks. First, we use NC to locate congested links inside a wired network. Then, we investigate the application of network coding in wireless relay networks and wireless broadcasting. Finally, we explore employing network coding for data sharing in wireless ad hoc networks. The idea of compressed sensing is based on the fact that, with some minimal prior knowledge about the data vector of a signal, it is possible to reconstruct that signal (efficiently)) from a very limited number of measurements (samples). Interest in the use of compressed sensing in many applications has grown quickly. In this work, we explore the application of CS in network monitoring and tomography. We will show that most networks routing matrices can be used as measurement matrices in compressed sampling. We provide an upper bound for delay recovery when compressed sensing is used to recover link delays inside networks. Finally, we provide an algorithm for designing a network routing matrix such that network monitoring (or tomography) puts a minimum burden on the network.
Download or read book Network Coding Applications written by Christina Fragouli and published by Now Publishers Inc. This book was released on 2008-01-08 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network Coding Applications looks at how ideas from network coding can have an impact on a number of new applications. It explains what network coding is, explores what its benefits are, and how much it costs to design and operate networks implementing network coding
Download or read book Network Coding written by Mohammad Matin and published by BoD – Books on Demand. This book was released on 2018-08-22 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network coding is an elegant and novel technique that allows nodes in the network to perform coding operations at the packet level. In particular, network coding represents a powerful approach to protect data from losses due to link disconnections and can also exploit the combination of multiple links to deliver data to users with the possibility of recoding at intermediate nodes. This phenomenon will reduce information congestion at some nodes or links, which will improve the network information flow such as to increase network throughput and robustness. This book is intended to provide the current R
Download or read book Network Coding Theory written by Raymond W. Yeung and published by Now Publishers Inc. This book was released on 2006 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a tutorial on the basics of network coding theory. Divided into two parts, this book presents a unified framework for understanding the basic notions and fundamental results in network coding. It is aimed at students, researchers and practitioners working in networking research.
Download or read book Security in Network Coding written by Peng Zhang and published by Springer. This book was released on 2016-05-26 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a series of security and privacy issues in network coding, and introduces three concrete mechanisms to address them. These mechanisms leverage traditional cryptographic primitives and anonymous protocols, and are redesigned to fit into the new framework of network coding. These three mechanisms are MacSig, a new message authentication method for network-coded systems; P-Coding, a new encryption scheme to secure network-coding-based transmissions; and ANOC, a new anonymous routing protocol that seamlessly integrates anonymous routing with network coding. Along with these three mechanisms, the authors provide a review of network coding's benefits, applications, and security problems. Also included is a detailed overview of security issues in the field, with an explanation of how the security issues differ from those in traditional settings. While network coding can help improve network performance, the adoption of network coding can be greatly limited unless security and privacy threats are addressed. Designed for researchers and professionals, Security in Network Coding explores major challenges in network coding and offers practical solutions. Advanced-level students studying networking or system security will also find the content valuable.
Download or read book Network Coding and Subspace Designs written by Marcus Greferath and published by Springer. This book was released on 2018-01-29 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by experts from universities and major research laboratories, addresses the hot topic of network coding, a powerful scheme for information transmission in networks that yields near-optimal throughput. It introduces readers to this striking new approach to network coding, in which the network is not simply viewed as a mechanism for delivering packets, but rather an algebraic structure named the subspace, which these packets span. This leads to a new kind of coding theory, employing what are called subspace codes. The book presents selected, highly relevant advanced research output on: Subspace Codes and Rank Metric Codes; Finite Geometries and Subspace Designs; Application of Network Coding; Codes for Distributed Storage Systems. The outcomes reflect research conducted within the framework of the European COST Action IC1104: Random Network Coding and Designs over GF(q). Taken together, they offer communications engineers, R&D engineers, researchers and graduate students in Mathematics, Computer Science, and Electrical Engineering a comprehensive reference guide to the construction of optimal network codes, as well as efficient encoding and decoding schemes for a given network code.
Download or read book Channel Estimation for Physical Layer Network Coding Systems written by Feifei Gao and published by Springer. This book was released on 2014-10-15 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief presents channel estimation strategies for the physical later network coding (PLNC) systems. Along with a review of PLNC architectures, this brief examines new challenges brought by the special structure of bi-directional two-hop transmissions that are different from the traditional point-to-point systems and unidirectional relay systems. The authors discuss the channel estimation strategies over typical fading scenarios, including frequency flat fading, frequency selective fading and time selective fading, as well as future research directions. Chapters explore the performance of the channel estimation strategy and optimal structure of training sequences for each scenario. Besides the analysis of channel estimation strategies, the book also points out the necessity of revisiting other signal processing issues for the PLNC system. Channel Estimation of Physical Layer Network Coding Systems is a valuable resource for researchers and professionals working in wireless communications and networks. Advanced-level students studying computer science and electrical engineering will also find the content helpful.
Download or read book Linear Network Error Correction Coding written by Xuan Guang and published by Springer Science & Business Media. This book was released on 2014-03-21 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are two main approaches in the theory of network error correction coding. In this SpringerBrief, the authors summarize some of the most important contributions following the classic approach, which represents messages by sequences similar to algebraic coding, and also briefly discuss the main results following the other approach, that uses the theory of rank metric codes for network error correction of representing messages by subspaces. This book starts by establishing the basic linear network error correction (LNEC) model and then characterizes two equivalent descriptions. Distances and weights are defined in order to characterize the discrepancy of these two vectors and to measure the seriousness of errors. Similar to classical error-correcting codes, the authors also apply the minimum distance decoding principle to LNEC codes at each sink node, but use distinct distances. For this decoding principle, it is shown that the minimum distance of a LNEC code at each sink node can fully characterize its error-detecting, error-correcting and erasure-error-correcting capabilities with respect to the sink node. In addition, some important and useful coding bounds in classical coding theory are generalized to linear network error correction coding, including the Hamming bound, the Gilbert-Varshamov bound and the Singleton bound. Several constructive algorithms of LNEC codes are presented, particularly for LNEC MDS codes, along with an analysis of their performance. Random linear network error correction coding is feasible for noncoherent networks with errors. Its performance is investigated by estimating upper bounds on some failure probabilities by analyzing the information transmission and error correction. Finally, the basic theory of subspace codes is introduced including the encoding and decoding principle as well as the channel model, the bounds on subspace codes, code construction and decoding algorithms.
Download or read book Network Coding written by Mohammad A. Matin and published by . This book was released on 2018 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network coding is an elegant and novel technique that allows nodes in the network to perform coding operations at the packet level. In particular, network coding represents a powerful approach to protect data from losses due to link disconnections and can also exploit the combination of multiple links to deliver data to users with the possibility of recoding at intermediate nodes. This phenomenon will reduce information congestion at some nodes or links, which will improve the network information flow such as to increase network throughput and robustness. This book is intended to provide the current R&D trends in coding, detection, and signal processing applied to communications in wireless and wired networks.
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 2008-08-28 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 Network Coding and Subspace Designs written by Marcus Greferath and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by experts from universities and major research laboratories, addresses the hot topic of network coding, a powerful scheme for information transmission in networks that yields near-optimal throughput. It introduces readers to this striking new approach to network coding, in which the network is not simply viewed as a mechanism for delivering packets, but rather an algebraic structure named the subspace, which these packets span. This leads to a new kind of coding theory, employing what are called subspace codes. The book presents selected, highly relevant advanced research output on: Subspace Codes and Rank Metric Codes; Finite Geometries and Subspace Designs; Application of Network Coding; Codes for Distributed Storage Systems. The outcomes reflect research conducted within the framework of the European COST Action IC1104: Random Network Coding and Designs over GF(q). Taken together, they offer communications engineers, R & D engineers, researchers and graduate students in Mathematics, Computer Science, and Electrical Engineering a comprehensive reference guide to the construction of optimal network codes, as well as efficient encoding and decoding schemes for a given network code.
Download or read book Artificial Intelligence in China written by Qilian Liang and published by Springer Nature. This book was released on 2021-02-08 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together papers presented at The 2nd International Conference on Artificial Intelligence in China (ChinaAI) 2020, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in artificial intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD and DOE).
Download or read book Secure Network Coding Dependency of Efficiency on Network Topology written by Stefan Pfennig and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
