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Network Anomaly Detection

, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or;

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Anomaly Detection System for Network Traffic using Data Mining

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Recent Advances in Intrusion Detection

, anomaly- and specification-based detection, and network intrusion detection. ;

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Spatio Temporal Anomaly Detector

Network anomalies occur in all sorts of networks, And as internet is growing more and more the intrusion detection mechanism are becoming;

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Beginning Anomaly Detection Using Python-Based Deep Learning

Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics of time series-based;

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Traffic Anomaly Detection

Traffic Anomaly Detection presents an overview of traffic anomaly detection analysis,allowing youto monitor security aspects;

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Anomaly Detection as a Service

detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also;

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Anomaly Detection as a Service

detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also;

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Intrusion Detection with Artificial Neural Networks

of this book is to design, implement and evaluate an anomaly based network intrusion detection system. The System learns about the normal users;

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Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The;

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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

constrained sensor networks; a number of algorithms on multi-aspect anomaly detection in sensor networks; several algorithms on mobile agent;

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today's;

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Anomaly-Detection and Health-Analysis Techniques for Core Router Systems

This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today's;

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Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming;

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Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming;

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Practical Machine Learning - A New Look at Anomaly Detection

Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large;

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Beginning Anomaly Detection Using Python-Based Deep Learning

Beg-Int user level;...

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Applied Cloud Deep Semantic Recognition

This book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim;

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Data Traffic Monitoring and Analysis

modelling, traffic classification and anomaly detection, quality of experience.;

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Anomaly Detection and Complex Event Processing Over IoT Data Streams

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents;

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State Of The Art In Intrusion Prevention

detection and prevention. It discusses tracing back mobile attackers, secure routing with intrusion prevention, anomaly detection, and AI-based;

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The State of the Art in Intrusion Prevention and Detection

detection and prevention. It discusses tracing back mobile attackers, secure routing with intrusion prevention, anomaly detection, and AI-based;

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Anomaly Detection

of data is called anomaly detection. With progress in the technologies and the widespread use of data for the purpose for business the increase;

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Outlier Detection for Temporal Data

Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like;

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Advances in Knowledge Discovery and Data Mining

-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system;

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Advances in Knowledge Discovery and Data Mining

-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system;

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Network and Information Security: Issues, Challenges and Research Trends

ensemble classifier for anomaly based IDS, network security tools and systems, formal verification of firewall anomalies, detection of Botnets;

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