Traffic Measurement for Big Network Data
Traffic Measurement for Big Network Data

Author: Shigang Chen

Publisher: Springer

Published: 2016-11-01

Total Pages: 109

ISBN-13: 3319473409

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This book presents several compact and fast methods for online traffic measurement of big network data. It describes challenges of online traffic measurement, discusses the state of the field, and provides an overview of the potential solutions to major problems. The authors introduce the problem of per-flow size measurement for big network data and present a fast and scalable counter architecture, called Counter Tree, which leverages a two-dimensional counter sharing scheme to achieve far better memory efficiency and significantly extend estimation range. Unlike traditional approaches to cardinality estimation problems that allocate a separated data structure (called estimator) for each flow, this book takes a different design path by viewing all the flows together as a whole: each flow is allocated with a virtual estimator, and these virtual estimators share a common memory space. A framework of virtual estimators is designed to apply the idea of sharing to an array of cardinality estimation solutions, achieving far better memory efficiency than the best existing work. To conclude, the authors discuss persistent spread estimation in high-speed networks. They offer a compact data structure called multi-virtual bitmap, which can estimate the cardinality of the intersection of an arbitrary number of sets. Using multi-virtual bitmaps, an implementation that can deliver high estimation accuracy under a very tight memory space is presented. The results of these experiments will surprise both professionals in the field and advanced-level students interested in the topic. By providing both an overview and the results of specific experiments, this book is useful for those new to online traffic measurement and experts on the topic.

The Internet Under Crisis Conditions
The Internet Under Crisis Conditions

Author: National Research Council

Publisher: National Academies Press

Published: 2003-01-31

Total Pages: 94

ISBN-13: 0309168775

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This report presents findings of a workshop featuring representatives of Internet Service Providers and others with access to data and insights about how the Internet performed on and immediately after the September 11 attacks. People who design and operate networks were asked to share data and their own preliminary analyses among participants in a closed workshop. They and networking researchers evaluated these inputs to synthesize lessons learned and derive suggestions for improvements in technology, procedures, and, as appropriate, policy.

Big Data Analytics in Cybersecurity
Big Data Analytics in Cybersecurity

Author: Onur Savas

Publisher: CRC Press

Published: 2017-09-18

Total Pages: 336

ISBN-13: 1498772161

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Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.

Big Data and Knowledge Sharing in Virtual Organizations
Big Data and Knowledge Sharing in Virtual Organizations

Author: Gyamfi, Albert

Publisher: IGI Global

Published: 2019-01-25

Total Pages: 336

ISBN-13: 1522575200

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Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.

Highlighting the Importance of Big Data Management and Analysis for Various Applications
Highlighting the Importance of Big Data Management and Analysis for Various Applications

Author: Mohammad Moshirpour

Publisher: Springer

Published: 2017-08-22

Total Pages: 168

ISBN-13: 3319602551

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This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field.

Computer Networks, Big Data and IoT
Computer Networks, Big Data and IoT

Author: A.Pasumpon Pandian

Publisher: Springer Nature

Published: 2021-06-21

Total Pages: 980

ISBN-13: 9811609659

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This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.

LATIN 2004: Theoretical Informatics
LATIN 2004: Theoretical Informatics

Author: Martin Farach-Colton

Publisher: Springer Science & Business Media

Published: 2004-03-19

Total Pages: 642

ISBN-13: 3540212582

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This volume contains the proceedings of the Latin American Theoretical Inf- matics (LATIN) conference that was held in Buenos Aires, Argentina, April 5–8, 2004. The LATIN series of symposia was launched in 1992 to foster interactions between the Latin American community and computer scientists around the world. This was the sixth event in the series, following S ̃ ao Paulo, Brazil (1992), Valparaiso, Chile (1995), Campinas, Brazil (1998), Punta del Este, Uruguay (2000), and Cancun, Mexico (2002). The proceedings of these conferences were also published by Springer-Verlag in the Lecture Notes in Computer Science series: Volumes 583, 911, 1380, 1776, and 2286, respectively. Also, as before, we published a selection of the papers in a special issue of a prestigious journal. We received 178 submissions. Each paper was assigned to four program c- mittee members, and 59 papers were selected. This was 80% more than the previous record for the number of submissions. We feel lucky to have been able to build on the solid foundation provided by the increasingly successful previous LATINs. And we are very grateful for the tireless work of Pablo Mart ́ ?nez L ́ opez, the Local Arrangements Chair. Finally, we thank Springer-Verlag for publishing these proceedings in its LNCS series.

Passive and Active Network Measurement
Passive and Active Network Measurement

Author: Constantinos Dovrolis

Publisher: Springer

Published: 2005-03-31

Total Pages: 385

ISBN-13: 3540319662

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Welcometothe6thInternationalWorkshoponPassiveandActiveMeasurement, held in Boston, Massuchusetts. PAM 2005 was organized by Boston University, with ?nancial support from Endace Measurement Systems and Intel. PAM continues to grow and mature as a venue for research in all aspects of Internet measurement. This trend is being driven by increasing interest and activity in the ?eld of Internet measurement. To accommodate the increasing interest in PAM, this year the workshop added a Steering Committee, whose members will rotate, to provide continuity and oversight of the PAM workshop series. PAMplaysaspecialroleinthemeasurementcommunity. Itemphasizespr- matic, relevant research in the area of network and Internet measurement. Its focus re?ects the increasing understanding that measurement is critical to e?- tive engineering of the Internet’s components. This is clearly a valuable role, as evidenced by the yearly increases in the number of submissions, interest in, and attendance at PAM. PAM received 84 submissions this year. Each paper was reviewed by three or four Program Committee (PC) members during the ?rst round. Papers that received con?icting scores were further reviewed by additional PC members or external reviewers (typically two). After all reviews were received, each paper with con?icting scores was discussed extensively by its reviewers, until a c- sensus was reached. The PC placed particular emphasis on selecting papers that were fresh and exciting research contributions. Also, strong preference was given to papers that included validation results based on real measurements.

Networking
Networking

Author: Jeffrey S. Beasley

Publisher: Pearson Education

Published: 2008-09-03

Total Pages: 1029

ISBN-13: 0131363433

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Networking Second Edition Jeffrey S. Beasley This text provides a comprehensive look at computer networking from the point of view of the network administrator. It guides readers from an entry-level knowledge in computer networks to advanced concepts in Ethernet networks; router configuration; TCP/IP networks; local-, campus-, and wide-area network configuration; network security; optical networks; voice over IP; and industrial networks. Extensive examples on the Windows Server 2003/2008 configuration and system configuration for the Linux operating system are also included. A complete chapter is devoted to protecting and securing a network from potential network attacks. Topics include denial of service attacks, firewalls, intrusion detection, password cracking, packet sniffing, and analyzing unsecured data packets. Other key network security issues, such as configuring router access lists, configuring a virtual private network (VPN) connection, and securing wireless networks, are also covered. Router configuration is examined, ranging from an introduction to router configuration to configuring multiple routing protocols for intranet and Internet data traffic. Routing protocols key to basic network operations are examined, including static, RIP, IGRP, OSPF, EIGRP, and BGP. The discussions on routing protocols are accompanied with in-depth steps for configuring the router to run the protocol, verify operation, and troubleshoot the router. Key Pedagogical Features PROTOCOL ANALYZER SOFTWARE included with the text uses the Finisar Surveyor Demo. Examples of using the software to analyze data traffic are included throughout the text. CONFIGURING, ANALYZING, or TROUBLESHOOTING sections are included with each chapter to guide the reader through advanced techniques in networking. OBJECTIVES and INTRODUCTION at the beginning of each chapter clearly outline specific goals for the reader. EXTENSIVE PROBLEM SETS, SUMMARIES, and QUESTIONS AND PROBLEMS (including Critical Thinking questions) are found at the end of each chapter. KEY TERMS and their definitions are highlighted in the margins to foster inquisitiveness and ensure retention.