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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 System for Network Traffic using Data Mining

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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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Spatio Temporal Anomaly Detector

intelligently monitors the network traffic and classify it for anomalies, if any anomaly is detected it is used to learn more about anomalies and to;

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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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Data Traffic Monitoring and Analysis

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

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Beginning Anomaly Detection Using Python-Based Deep Learning

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras;

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Anomaly Detection as a Service

Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical;

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Anomaly Detection as a Service

Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical;

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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

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource;

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Recent Advances in Intrusion Detection

papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis;

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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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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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Beginning Anomaly Detection Using Python-Based Deep Learning

Beg-Int user level;...

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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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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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Low-Level Features from Video for Traffic Jam Detection

Low-Level Features from Video for Traffic Jam Detection is een boek van Christian Mirth;

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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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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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Network Behavior Analysis

monitoring, Internet traffic profiling, anomaly traffic detection, and emerging application detections. The book will be of particular interest to;

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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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The Tokens of Esteem

include decentralized monitoring and anomaly detection, management components and multi-domain management, and the future of SNMP-based management.;

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Network Security: Issues, Challenges and Techniques

, this volume discusses the design of effective Intrusion Detection Systems (IDS), clustering techniques in designing anomaly based IDS, network;

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