Traffic Measurement For Big Network Data
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Traffic Measurement For Big Network Data
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Author : Shigang Chen
language : en
Publisher: Springer
Release Date : 2016-11-01
Traffic Measurement For Big Network Data written by Shigang Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-01 with Technology & Engineering categories.
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.
Data Traffic Monitoring And Analysis
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Author : Ernst Biersack
language : en
Publisher: Springer
Release Date : 2013-03-02
Data Traffic Monitoring And Analysis written by Ernst Biersack and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-02 with Computers categories.
This book was prepared as the Final Publication of COST Action IC0703 "Data Traffic Monitoring and Analysis: theory, techniques, tools and applications for the future networks". It contains 14 chapters which demonstrate the results, quality,and the impact of European research in the field of TMA in line with the scientific objective of the Action. The book is structured into three parts: network and topology measurement and modelling, traffic classification and anomaly detection, quality of experience.
Traffic Measurement On The Internet
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Author : Tao Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-08-30
Traffic Measurement On The Internet written by Tao Li and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-30 with Computers categories.
Traffic Measurement on the Internet presents several novel online measurement methods that are compact and fast. Traffic measurement provides critical real-world data for service providers and network administrations to perform capacity planning, accounting and billing, anomaly detection, and service provision. Statistical methods play important roles in many measurement functions including: system designing, model building, formula deriving, and error analyzing. One of the greatest challenges in designing an online measurement function is to minimize the per-packet processing time in order to keep up with the line speed of the modern routers. This book also introduces a challenging problem – the measurement of per-flow information in high-speed networks, as well as, the solution. The last chapter discusses origin-destination flow measurement.
Proceedings Of The 4th International Conference On Big Data Analytics For Cyber Physical System In Smart City Volume 1
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Author : Mohammed Atiquzzaman
language : en
Publisher: Springer Nature
Release Date : 2023-07-04
Proceedings Of The 4th International Conference On Big Data Analytics For Cyber Physical System In Smart City Volume 1 written by Mohammed Atiquzzaman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-04 with Technology & Engineering categories.
This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
Networking For Big Data
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Author : Shui Yu
language : en
Publisher: CRC Press
Release Date : 2015-07-28
Networking For Big Data written by Shui Yu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-28 with Computers categories.
Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data,
Eccws 2018 17th European Conference On Cyber Warfare And Security V2
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Author : Audun Jøsang
language : en
Publisher: Academic Conferences and publishing limited
Release Date : 2018-06-21
Eccws 2018 17th European Conference On Cyber Warfare And Security V2 written by Audun Jøsang and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-21 with Computers categories.
Big Data And Knowledge Sharing In Virtual Organizations
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Author : Gyamfi, Albert
language : en
Publisher: IGI Global
Release Date : 2019-01-25
Big Data And Knowledge Sharing In Virtual Organizations written by Gyamfi, Albert and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-25 with Computers categories.
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.
Big Data Analytics In Cybersecurity
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Author : Onur Savas
language : en
Publisher: CRC Press
Release Date : 2017-09-18
Big Data Analytics In Cybersecurity written by Onur Savas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-18 with Business & Economics categories.
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.
Scalable Network Monitoring In High Speed Networks
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Author : Baek-Young Choi
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-14
Scalable Network Monitoring In High Speed Networks written by Baek-Young Choi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-14 with Computers categories.
Network monitoring serves as the basis for a wide scope of network, engineering and management operations. Precise network monitoring involves inspecting every packet traversing in a network. However, this is not feasible with future high-speed networks, due to significant overheads of processing, storing, and transferring measured data. Network Monitoring in High Speed Networks presents accurate measurement schemes from both traffic and performance perspectives, and introduces adaptive sampling techniques for various granularities of traffic measurement. The techniques allow monitoring systems to control the accuracy of estimations, and adapt sampling probability dynamically according to traffic conditions. The issues surrounding network delays for practical performance monitoring are discussed in the second part of this book. Case studies based on real operational network traces are provided throughout this book. Network Monitoring in High Speed Networks is designed as a secondary text or reference book for advanced-level students and researchers concentrating on computer science and electrical engineering. Professionals working within the networking industry will also find this book useful.
Machine Learning For Cyber Security
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Author : Yuan Xu
language : en
Publisher: Springer Nature
Release Date : 2023-01-12
Machine Learning For Cyber Security written by Yuan Xu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-12 with Computers categories.
The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.