This 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.
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