Data Traffic Monitoring And Analysis

Author: Ernst Biersack
Editor: Springer
ISBN: 3642367844
File Size: 34,24 MB
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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 Monitoring And Analysis

Author: Jordi Domingo-Pascual
Editor: Springer
ISBN: 3642203051
File Size: 68,90 MB
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This book constitutes the proceedings of the Third International Workshop on Traffic Monitoring and Analysis, TMA 2011, held in Vienna, Austria, on April 27, 2011 - co-located with EW 2011, the 17th European Wireless Conference. The workshop is an initiative from the COST Action IC0703 "Data Traffic Monitoring and Analysis: Theory, Techniques, Tools and Applications for the Future Networks". The 10 revised full papers and 6 poster papers presented together with 4 short papers were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on traffic analysis, applications and privacy, traffic classification, and a poster session.

Traffic Monitoring And Analysis

Author: Antonio Pescapè
Editor: Springer
ISBN: 3642285341
File Size: 70,40 MB
Format: PDF
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This book constitutes the proceedings of the 4th International Workshop on Traffic Monitoring and Analysis, TMA 2012, held in Vienna, Austria, in March 2012. The thoroughly refereed 10 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 31 submissions. The contributions are organized in topical sections on traffic analysis and characterization: new results and improved measurement techniques; measurement for QoS, security and service level agreements; and tools for network measurement and experimentation.

Traffic Monitoring And Analysis

Author: Fabio Ricciato
Editor: Springer
ISBN: 3642123651
File Size: 71,84 MB
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The Second International Workshop on Traffic Monitoring and Analysis (TMA 2010) was an initiative of the COST Action IC0703 "Data Traffic Monitoring and Analysis: Theory, Techniques, Tools and Applications for the Future Networks" (http:// www.tma-portal.eu/cost-tma-action). The COST program is an intergovernmental framework for European cooperation in science and technology, promoting the coordination of nationally funded research on a European level. Each COST Action aims at reducing the fragmentation in - search and opening the European research area to cooperation worldwide. Traffic monitoring and analysis (TMA) is nowadays an important research topic within the field of computer networks. It involves many research groups worldwide that are collectively advancing our understanding of the Internet. The importance of TMA research is motivated by the fact that modern packet n- works are highly complex and ever-evolving objects. Understanding, developing and managing such environments is difficult and expensive in practice. Traffic monitoring is a key methodology for understanding telecommunication technology and improving its operation, and the recent advances in this field suggest that evolved TMA-based techniques can play a key role in the operation of real networks.

Network Monitoring And Analysis

Author: Ed Wilson
Editor: Prentice Hall
ISBN:
File Size: 68,88 MB
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More than a million people visit Vancouver Island by air and sea each year, three quarters of them from outside Canada. Besides detailed coverage of Victoria, Eric Lucas gives wide-ranging context to the island’s culture, cuisine, and arts. There’s also a wealth of practical information to help you plan your stay in this land of natural wonders.

Traffic Monitoring And Analysis

Author: Maria Papadopouli
Editor: Springer
ISBN: 3642016456
File Size: 38,35 MB
Format: PDF
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The First International Workshop on Traffic Monitoring and Analysis (TMA 2009) was an initiative from the COST Action IC0703 "Data Traffic Monitoring and Analysis: Theory, Techniques, Tools and Applications for the Future Networks" (www.cost-tma.eu). The COST program is an intergovernmental framework for European Cooperation in Science and Technology, allowing the coordination of nationally funded research on a European level. Each COST Action contributes to reducing the fragmentation in research and opening the European Research Area to cooperation worldwide. Traffic monitoring and analysis (TMA) is now an important research topic within the field of networking. It involves many research groups worldwide that are coll- tively advancing our understanding of the Internet. The importance of TMA research is motivated by the fact that modern packet n- works are highly complex and ever-evolving objects. Understanding, developing and managing such environments is difficult and expensive in practice. Traffic monitoring is a key methodology for understanding telecommunication technology and improving its operation, and the recent advances in this field suggest that evolved TMA-based techniques can play a key role in the operation of real networks. Moreover, TMA offers a basis for prevention and response in network security, as typically the det- tion of attacks and intrusions requires the analysis of detailed traffic records. On the more theoretical side, TMA is an attractive research topic for many reasons.

Traffic Monitoring And Analysis

Author: Fabio Ricciato
Editor:
ISBN: 9783642123665
File Size: 12,24 MB
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Traffic Monitoring And Analysis

Author: Maria Papadopouli
Editor: Springer Science & Business Media
ISBN: 3642016448
File Size: 38,89 MB
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This book constitutes the proceedings of the First International Workshop on Traffic Monitoring and Analysis, TMA 2008, held in Aachen, Germany, on May 11, 2008 in conjunction with the IFIP Networking 2008 conference. The workshop is an initiative from the COST Action IC0703 "Data Traffic Monitoring and Analysis: Theory, Techniques, Tools and Applications for the Future Networks". The 15 papers contained in this volume were carefully reviewed and selected from 34 submissions. They encompass research areas related to traffic analysis and classification, measurements, topology, discovery, detection of specific applications and events, packet inspection, and traffic inference. The papers are organized in topical sections on QoS measurement, rupture detection, traffic classification, as well as traffic analysis and topology measurements.

Traffic Monitoring And Analysis

Author: Moritz Steiner
Editor: Springer
ISBN: 3319171720
File Size: 28,34 MB
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This book constitutes the refereed proceedings of the 7th International Workshop on Traffic Monitoring and Analysis, TMA 2015, held in Barcelona, Spain, in April 2015. The 16 full papers presented in this volume were carefully reviewed and selected from 54 submissions. The contributions are organized in topical sections on measurement tools and methods; mobile and wireless; Web; security; and new protocols.

Traffic Monitoring And Analysis

Author: Jordi Domingo-Pascual
Editor: Springer Science & Business Media
ISBN: 3642203043
File Size: 14,18 MB
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This book constitutes the proceedings of the Third International Workshop on Traffic Monitoring and Analysis, TMA 2011, held in Vienna, Austria, on April 27, 2011 - co-located with EW 2011, the 17th European Wireless Conference. The workshop is an initiative from the COST Action IC0703 "Data Traffic Monitoring and Analysis: Theory, Techniques, Tools and Applications for the Future Networks". The 10 revised full papers and 6 poster papers presented together with 4 short papers were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on traffic analysis, applications and privacy, traffic classification, and a poster session.

Traffic Monitoring And Analysis

Author: Alberto Dainotti
Editor: Springer
ISBN: 3642549993
File Size: 32,11 MB
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This book constitutes the proceedings of the 6th International Workshop on Traffic Monitoring and Analysis, TMA 2014, held in London, UK, in April 2014. The thoroughly refereed 11 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The contributions are organized in topical sections on tools and lessons learned from passive measurement, performance at the edge and Web, content and inter domain.

Wavelet Transform For Educational Network Data Traffic Analysis

Author: Shwan Dyllon
Editor:
ISBN:
File Size: 51,73 MB
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Network monitoring and analysis are very important, in order to understand the performance of the networks, the reliability of the networks, the security of the networks, and to identify potential problems. In this chapter, we present our latest work on university network data traffic analysis by using continuous wavelet transform (CWT). With CWT, you can analyse the data and show how the frequency content of the data changes over time. This time dependent frequency varying information, which is lacking in other techniques, such FFT, is very useful for network traffic analysis. A twelve month's network traffic data, include World Wide Web (WWW) data and Email data were presented in 3D format, by using wavelet transform, we can visualise the hourly, daily, weekly and monthly activities. We will first present the theoretical background, then show the experimental results.

Traffic Monitoring Guide

Author:
Editor:
ISBN:
File Size: 17,21 MB
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Automated Traffic Monitoring Station Data Collection Archival And Analysis

Author: Peng Wu
Editor:
ISBN:
File Size: 70,14 MB
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Network Traffic Anomaly Detection And Prevention

Author: Monowar H. Bhuyan
Editor: Springer
ISBN: 3319651889
File Size: 44,63 MB
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This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of the fundamental theoretical concepts to in-depth analysis of systems and methods. Readers will benefit from invaluable practical guidance on how to design an intrusion detection technique and incorporate it into a system, as well as on how to analyze and correlate alerts without prior information. Topics and features: introduces the essentials of traffic management in high speed networks, detailing types of anomalies, network vulnerabilities, and a taxonomy of network attacks; describes a systematic approach to generating large network intrusion datasets, and reviews existing synthetic, benchmark, and real-life datasets; provides a detailed study of network anomaly detection techniques and systems under six different categories: statistical, classification, knowledge-base, cluster and outlier detection, soft computing, and combination learners; examines alert management and anomaly prevention techniques, including alert preprocessing, alert correlation, and alert post-processing; presents a hands-on approach to developing network traffic monitoring and analysis tools, together with a survey of existing tools; discusses various evaluation criteria and metrics, covering issues of accuracy, performance, completeness, timeliness, reliability, and quality; reviews open issues and challenges in network traffic anomaly detection and prevention. This informative work is ideal for graduate and advanced undergraduate students interested in network security and privacy, intrusion detection systems, and data mining in security. Researchers and practitioners specializing in network security will also find the book to be a useful reference.

Highway Traffic Monitoring And Data Quality

Author: Michael Dalgleish
Editor: Artech House Publishers
ISBN: 9781580537155
File Size: 22,97 MB
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"The first-of-its-kind book presents state-of-the-art traffic monitoring and analysis methods, helping professionals make the most of their data collection and assessment efforts. This unique resource offers a hands-on understanding of the latest sensors, processors, and communication links for everything from vehicle counts to urban congestion measurement. Moreover, practitioners learn statistical techniques for quantifying data accuracy and reducing uncertainly in both current system state assessments and future system slate forecasts."--BOOK JACKET.

Traffic Mining Applied To Police Activities

Author: Fabio Leuzzi
Editor: Springer
ISBN: 3319756087
File Size: 42,38 MB
Format: PDF
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This book presents high-quality original contributions on the development of automatic traffic analysis systems that are able to not only anticipate traffic scenarios, but also understand the behavior of road users (vehicles, bikes, trucks, etc.) in order to provide better traffic management, prevent accidents and, potentially, identify criminal behaviors. Topics also include traffic surveillance and vehicle accident analysis using formal concept analysis, convolutional and recurrent neural networks, unsupervised learning and process mining. The content is based on papers presented at the 1st Italian Conference for the Traffic Police (TRAP), which was held in Rome in October 2017. This conference represents a targeted response to the challenges facing the police in connection with managing massive traffic data, finding patterns from historical datasets, and analyzing complex traffic phenomena in order to anticipate potential criminal behaviors. The book will appeal to researchers, practitioners and decision makers interested in traffic monitoring and analysis, traffic modeling and simulation, mobility and social data mining, as well as members of the police.

Network Security Through Data Analysis

Author: Michael Collins
Editor: "O'Reilly Media, Inc."
ISBN: 149196281X
File Size: 51,71 MB
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Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to harden and defend the systems within it. In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics. You’ll learn how to: Use sensors to collect network, service, host, and active domain data Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect Detect unusual phenomena through exploratory data analysis (EDA), using visualization and mathematical techniques Analyze text data, traffic behavior, and communications mistakes Identify significant structures in your network with graph analysis Examine insider threat data and acquire threat intelligence Map your network and identify significant hosts within it Work with operations to develop defenses and analysis techniques