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Traffic Anomaly Detection

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Traffic Anomaly Detection

Traffic Anomaly Detection Book
Author : Antonio Cuadra-Sánchez,Javier Aracil
Publisher : Elsevier
Release : 2015-10-31
ISBN : 0081008074
Language : En, Es, Fr & De

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Book Description :

This book presents an overview of traffic anomaly detection analysis, allowing you to monitor security aspects of multimedia services. The author's approach is based on the analysis of time aggregation adjacent periods of the traffic. As traffic varies throughout the day, it is essential to consider the concrete traffic period in which the anomaly occurs. This book presents the algorithms proposed specifically for this analysis and an empirical comparative analysis of those methods and settle a new information theory based technique, named "typical day analysis". A new information-theory based technique for traffic anomaly detection (typical day analysis) Introductory chapters to anomaly detection methods including control charts, tests of goodness-of-fit Mutual Information Contains comparative analysis of traffic anomaly detection methods

Network Traffic Anomaly Detection and Prevention

Network Traffic Anomaly Detection and Prevention Book
Author : Monowar H. Bhuyan,Dhruba K. Bhattacharyya,Jugal K. Kalita
Publisher : Springer
Release : 2017-09-03
ISBN : 3319651889
Language : En, Es, Fr & De

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Book Description :

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.

Network Traffic Anomaly Detection and Evaluation

Network Traffic Anomaly Detection and Evaluation Book
Author : Daniela Brauckhoff
Publisher : Unknown
Release : 2010
ISBN : 9783832289775
Language : En, Es, Fr & De

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Book Description :

Download Network Traffic Anomaly Detection and Evaluation book written by Daniela Brauckhoff, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Automatic Network Traffic Anomaly Detection and Analysis Using Supervised Machine Learning Techniques

Automatic Network Traffic Anomaly Detection and Analysis Using Supervised Machine Learning Techniques Book
Author : Astha Syal
Publisher : Unknown
Release : 2019
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Today, internet has become an important tool for the entire public. It is the source of information, education, entertainment, and convenience. To maintain the efficiency and performance of the large computer networks supporting the internet, it is important to monitor and analyze the overall network traffic. During evening hours, when most people access internet at the same time for social media browsing, accessing their data or watching Netflix, with the increase in utilization, the network traffic can become congested and therefore the speed decreases. This research aims to identify network variables that cause these disturbances, thus impacting the overall speed of the network and leading it to a state of "congestive collapse". Machine learning models can be built using data passively collected in the network's logs and can be used in real-time to predict the traffic in the next time frame so network administrators could tune the network variables that are causing these disturbances. The models proposed here are able to quickly detect large intervals of low performing network transfers, which requires attention from network engineers.

Network Classification for Traffic Management

Network Classification for Traffic Management Book
Author : Zahir Tari,Adil Fahad,Xun Yi,Abdulmohsen Almalawi
Publisher : Computing and Networks
Release : 2020-03-23
ISBN : 1785619217
Language : En, Es, Fr & De

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Book Description :

This authored book investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks.

Data Traffic Monitoring and Analysis

Data Traffic Monitoring and Analysis Book
Author : Ernst Biersack,Christian Callegari,Maja Matijasevic
Publisher : Springer
Release : 2013-03-02
ISBN : 3642367844
Language : En, Es, Fr & De

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Book Description :

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.

Network Anomaly Detection

Network Anomaly Detection Book
Author : Dhruba Kumar Bhattacharyya,Jugal Kumar Kalita
Publisher : CRC Press
Release : 2013-06-18
ISBN : 146658209X
Language : En, Es, Fr & De

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Book Description :

With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavior. Finding these anomalies has extensive applications in areas such as cyber security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning Perspective presents machine learning techniques in depth to help you more effectively detect and counter network intrusion. In this book, you’ll learn about: Network anomalies and vulnerabilities at various layers The pros and cons of various machine learning techniques and algorithms A taxonomy of attacks based on their characteristics and behavior Feature selection algorithms How to assess the accuracy, performance, completeness, timeliness, stability, interoperability, reliability, and other dynamic aspects of a network anomaly detection system Practical tools for launching attacks, capturing packet or flow traffic, extracting features, detecting attacks, and evaluating detection performance Important unresolved issues and research challenges that need to be overcome to provide better protection for networks Examining numerous attacks in detail, the authors look at the tools that intruders use and show how to use this knowledge to protect networks. The book also provides material for hands-on development, so that you can code on a testbed to implement detection methods toward the development of your own intrusion detection system. It offers a thorough introduction to the state of the art in network anomaly detection using machine learning approaches and systems.

Information Technology and Intelligent Transportation Systems

Information Technology and Intelligent Transportation Systems Book
Author : L.C. Jain,X. Zhao,V.E. Balas
Publisher : IOS Press
Release : 2020-03-18
ISBN : 1643680617
Language : En, Es, Fr & De

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Book Description :

Intelligent transport systems, from basic management systems to more application-oriented systems, vary in the technologies they apply. Information technologies, including wireless communication, are important in intelligent transportation systems, as are computational technologies: floating car data/floating cellular data, sensing technologies, and video vehicle detection. Theoretical and application technologies, such as emergency vehicle notification systems, automatic road enforcement and collision avoidance systems, as well as some cooperative systems are also used in intelligent transportation systems. This book presents papers selected from the 128 submissions in the field of information technology and intelligent transportation systems received from 5 countries. In December 2019 Chang’an University organized a round-table meeting to discuss and score the technical merits of each selected paper, of which 23 are included in this book. Providing a current overview of the subject, the book will be of interest to all those working in the field of intelligent transportation systems and traffic management.

Mobility Based Anomaly Detection

Mobility Based Anomaly Detection Book
Author : Yanan Xin
Publisher : Unknown
Release : 2020
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Mobility data are proliferating at an unprecedented rate due to the ubiquitous GPS sensing and tracking. The increased availability of mobility data gives rise to numerous applications ranging from urban traffic monitoring to participatory environmental sensing. Detecting anomalies observed in mobility data (specified here as mobility-based anomaly detection) has attracted significant attention from researchers and practitioners in various fields due to its significant real-world impact. For example, traffic anomalies are used for traffic accident monitoring, and anomalies in environmental mobile sensing data are used to signal potential natural hazards. Despite a large number of studies available on mobility-based anomaly detection, many of the studies are conducted in distinctly different fields and have not been examined under a unified framework. This dissertation provides a systematic investigation of mobility-based anomaly detection to fill this knowledge gap. I propose a taxonomy of mobility-based anomaly detection to organize the existing relevant studies into three categories based on the source and target attributes of mobility data used in the anomaly detection process: (1) utilizing mobility attributes as both source and target in anomaly detection (mobility to mobility anomaly detection), (2) utilizing mobility attributes as the source and non-mobility attributes as the target (mobility to non-mobility anomaly detection), and (3) utilizing non-mobility attributes as the source and mobility attributes as the target (non-mobility to mobility anomaly detection). Following the taxonomy, three individual studies are presented, with each providing an example for one of the three categories. The first study (an example of mobility to mobility anomaly detection) identifies anomalous patterns of shared dockless e-scooters using an unsupervised deep learning approach. The second study (an example of mobility to non-mobility anomaly detection) detects anomalies in crowdsourced radiation measurements. The third study (an example of non-mobility to mobility anomaly detection) models the atypical event travel patterns of football fans using geolocated tweets. The three studies develop new methods in addressing the challenges of mobility-based anomaly detection and provide insights into the specific application domain. The dissertation provides one of the first systematic efforts to address mobility-based anomaly detection generally and highlights challenges and opportunities for future research.

Practical Machine Learning A New Look at Anomaly Detection

Practical Machine Learning  A New Look at Anomaly Detection Book
Author : Ted Dunning,Ellen Friedman
Publisher : "O'Reilly Media, Inc."
Release : 2014-07-21
ISBN : 1491914181
Language : En, Es, Fr & De

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Book Description :

Finding Data Anomalies You Didn't Know to Look For Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what “suspects” you’re looking for. This O’Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work. From banking security to natural sciences, medicine, and marketing, anomaly detection has many useful applications in this age of big data. And the search for anomalies will intensify once the Internet of Things spawns even more new types of data. The concepts described in this report will help you tackle anomaly detection in your own project. Use probabilistic models to predict what’s normal and contrast that to what you observe Set an adaptive threshold to determine which data falls outside of the normal range, using the t-digest algorithm Establish normal fluctuations in complex systems and signals (such as an EKG) with a more adaptive probablistic model Use historical data to discover anomalies in sporadic event streams, such as web traffic Learn how to use deviations in expected behavior to trigger fraud alerts

Statistical Topics Relating to Computer Network Anomaly Detection

Statistical Topics Relating to Computer Network Anomaly Detection Book
Author : Qi Ding
Publisher : Unknown
Release : 2012
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Abstract: This dissertation makes fundamental contributions to statistical methods relating to the detection of anomalies in the context of computer network traffic monitoring. In particular, it contributes basic statistical tools for socially-based network anomaly characterization and detection, it extends a popular detection methodology to high-dimensional contexts, and it demonstrates that standard flow sampling can interact with inherent network topology in ways unexpected. In the first contribution of my research, I define anomalous intrusion in terms of locations in social space, rather than in physical space. I develop statistical detectors based on simple graph-based summaries of the network, with a focus on detecting anti-social behaviors. This research suggests that certain values of local graphical measurements, like clustering coefficients and betweenness centrality, are associated with the malicious antisocial behaviors in the types of network representations of IP flow measurements used in this work. This motivates me to propose a simple, efficient and robust anomaly detection technique. I evaluate this methodology on different network representations and using different social summaries. In the second contribution of my research, I extend the use of the PCA subspace method to high-dimensional spaces. Specifically, I show that, under appropriate conditions, with high probability the magnitude of the residuals of a standard PCA subspace analysis of randomly projected data behaves comparably to that of the residuals of a similar PCA analysis of the original data. My results indicate the feasibility of applying subspace-based anomaly detection algorithms to Gaussian random projection data. This concept is illustrated in the context of computer network traffic anomaly detection for the purpose of detecting volume anomalies. The impact of sampling on so-called Peer-to-Peer (P2P) network analysis is the focus of the third contribution of my research. In this research I use a combination of probability calculations and simulation techniques to characterize the extent to which standard packet sampling in the Internet can adversely affect the topology of stylized versions of Bittorrent download networks reconstructed from measurements of network Rows. The results indicate that a certain stratification observed in these networks impacts the reconstructed topology in ways decidedly different from typical networks which have no stratification.

Provisioning Recovery and In Operation Planning in Elastic Optical Networks

Provisioning  Recovery  and In Operation Planning in Elastic Optical Networks Book
Author : Luis Velasco,Marc Ruiz
Publisher : John Wiley & Sons
Release : 2017-10-09
ISBN : 1119338565
Language : En, Es, Fr & De

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Book Description :

Motivation -- Background -- The routing and spectrum allocation problem -- Architectures for provisioning and in-operation planning -- Dynamic provisioning of P2P demands -- Transfer-based datacenter interconnection -- Provisioning multicast and anycast demands -- Spectrum defragmentation -- Restoration in the optical layer -- After failure repair optimization -- Virtual network topology design and reconfiguration -- Recovery in multilayer networks -- High capacity optical networks based on space division multiplexing -- Dynamic connectivity services in support of future mobile networks -- Towards cognitive in-operation planning

Proceedings

Proceedings Book
Author : Anonim
Publisher : Unknown
Release : 2003
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Proceedings book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Security and Privacy in Communication Networks

Security and Privacy in Communication Networks Book
Author : Bhavani Thuraisingham,XiaoFeng Wang,Vinod Yegneswaran
Publisher : Springer
Release : 2016-01-23
ISBN : 3319288652
Language : En, Es, Fr & De

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Book Description :

This volume constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Security and Privacy in Communication Networks, SecureComm 2015, held in Dallas, TX, USA, in October 2015. The 29 regular and 10 poster papers presented were carefully reviewed and selected from 107 submissions. It also presents 9 papers accepted of the workshop on Applications and Techniques in Cyber Security, ATCS 2015. The papers are grouped in the following topics: mobile, system, and software security; cloud security; privacy and side channels; Web and network security; crypto, protocol, and model.

Sampling Network Traffic for Anomaly Detection

Sampling Network Traffic for Anomaly Detection Book
Author : Jianning Mai
Publisher : Unknown
Release : 2008
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Sampling Network Traffic for Anomaly Detection book written by Jianning Mai, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Self defending Networks

Self defending Networks Book
Author : Duane De Capite
Publisher : Cisco Systems
Release : 2007
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Protect your network with self-regulating network security solutions that combat both internal and external threats. Provides an overview of the security components used to design proactive network security Helps network security professionals understand what the latest tools and techniques can do and how they interact Presents detailed information on how to use integrated management to increase security Includes a design guide with step-by-step implementation instructions Self-Defending Networks: The Next Generation of Network Security helps networking professionals understand how to deploy an end-to-end, integrated network security solution. It presents a clear view of the various components that can be used throughout the network to not only monitor traffic but to allow the network itself to become more proactive in preventing and mitigating network attacks. This security primer provides unique insight into the entire range of Cisco security solutions, showing what each element is capable of doing and how all of the pieces work together to form an end-to-end Self-Defending Network. While other books tend to focus on individual security components, providing in-depth configuration guidelines for various devices and technologies, Self-Defending Networks instead presents a high-level overview of the entire range of technologies and techniques that comprise the latest thinking in proactive network security defenses. This book arms network security professionals with the latest information on the comprehensive suite of Cisco security tools and techniques. Network Admission Control, Network Infection Containment, Dynamic Attack Mitigation, DDoS Mitigation, Host Intrusion Prevention, and Integrated Security Management are all covered, providing the most complete overview of various security systems. It focuses on leveraging integrated management, rather than including a device-by-device manual to implement self-defending networks.

The IEEE International Conference on Fuzzy Systems Proceedings

The     IEEE International Conference on Fuzzy Systems Proceedings Book
Author : Anonim
Publisher : Unknown
Release : 1998
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download The IEEE International Conference on Fuzzy Systems Proceedings book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Proceedings of the ACM SIGCOMM Internet Measurement Conference

Proceedings of the     ACM SIGCOMM Internet Measurement Conference Book
Author : Anonim
Publisher : Unknown
Release : 2006
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Proceedings of the ACM SIGCOMM Internet Measurement Conference book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Network Intrusion Alert

Network Intrusion Alert Book
Author : Ankit Fadia,Manu Zacharia
Publisher : Cengage Learning Ptr
Release : 2007
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

How safe is your network? Intrusion Alert: an Ethical Hacking Guide to Intrusion Detection provides an in-depth look at the intrusion detection systems that are currently available to help protect your networks from cyber criminals. The book begins by explaining various security concepts and the basics of security attacks, and then goes on to provide an introduction intrusion detection systems (IDS), how these systems work, and principles of IDS and the IDS architecture. The second section of the book deals with the installation and configuration of various IDS tools including tcpdump, ISA Server 2004 and Snort. Readers learn to implement these products, understand essential administration and maintenance tasks, and fine tune and use the data they provide appropriately.

23rd DASC

23rd DASC Book
Author : Anonim
Publisher : Unknown
Release : 2004
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download 23rd DASC book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.