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008			230126s2022 si | s |||| 0|eng d
020			_a9789811683251
024	7		_a10.1007/978-981-16-8325-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.875.I57 _b2022 EB
100	1		_aXu, Kuai _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686267
245	1	0	_aNetwork Behavior Analysis : _bMeasurement, Models, and Applications _cby Kuai Xu
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 163 páginas) _b66 ilustraciones, 59 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aChapter 1: Introduction -- Chapter 2: Background of Network Behavior Modeling and Analysis -- Chapter 3: Behavior Modeling of Network Traffic -- Chapter 4: Structural Modeling of Network Traffic -- Chapter 5: Graphic Modeling of Network Traffic -- Chapter 6: Real-Time Network Behavior Analysis -- Chapter 7: Applications -- Chapter 8: Research Frontiers of Network Behavior Analysis.
520			_aThis book provides a comprehensive overview of network behavior analysis that mines Internet traffic data in order to extract, model, and make sense of behavioral patterns in Internet "objects" such as end hosts, smartphones, Internet of things, and applications. The objective of this book is to fill the book publication gap in network behavior analysis, which has recently become an increasingly important component of comprehensive network security solutions for data center networks, backbone networks, enterprise networks, and edge networks. The book presents fundamental principles and best practices for measuring, extracting, modeling and analyzing network behavior for end hosts and applications on the basis of Internet traffic data. In addition, it explains the concept and key elements (e.g., what, who, where, when, and why) of communication patterns and network behavior of end hosts and network applications, drawing on data mining, machine learning, information theory, probabilistic graphical and structural modeling to do so. The book also discusses the benefits of network behavior analysis for applications in cybersecurity monitoring, Internet traffic profiling, anomaly traffic detection, and emerging application detections. The book will be of particular interest to researchers and practitioners in the fields of Internet measurement, traffic analysis, and cybersecurity, since it provides a spectrum of innovative techniques for summarizing behavior models, structural models, and graphic models of Internet traffic, and explains how to leverage the results for a broad range of real-world applications in network management, security operations, and cyber-intelligent analysis. After finishing this book, readers will 1) have learned the principles and practices of measuring, modeling, and analyzing network behavior on the basis of massive Internet traffic data; 2) be able to make sense of network behavior for a spectrum of applications ranging from cybersecurity and network monitoring to emerging application detection; and 3) understand how to explore network behavior analysis to complement traditional perimeter-based firewall and intrusion detection systems in order to detect unusual traffic patterns or zero-day security threats using data mining and machine learning techniques. To ideally benefit from this book, readers should have a basic grasp of TCP/IP protocols, data packets, network flows, and Internet applications.
988			_aSpringer_Computer_2022
650		7	_2embne _9147882 _aInternet
650		7	_2embne _9141354 _aRedes informáticas
776	0	8	_iPrinted edition: _z9789811683244
776	0	8	_iPrinted edition: _z9789811683268
776	0	8	_iPrinted edition: _z9789811683275
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-981-16-8325-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI