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Intrusion Detection with Artificial Neural Networks

Intrusion detection system is a detection mechanism that detects unauthorized, malicious presents in the computer systems. The purpose;

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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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Artificial Neural Networks

, medical image fusion based on pulse coupled neural networks, artificial neural networks for intrusion detection, recognition of Arabic sign;

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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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New Developments in Computer Networks

cluster; fuzzy-based controller for improvement of network performance; multi-layer perceptron artificial neural network; fault detection and;

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Principles of Information Security

dragonfly key exchange protocol, intrusion detection & prevention system based on artificial neural network, and detection of sophisticated network;

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Recent Advances in Artificial Neural Networks

* Provides up-to-date coverage of neural network paradigms and applications* Presents the work of internationally renowned experts;

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Recent Advances in Artificial Neural Networks

of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks;

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Big Data Analytics

disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and;

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Big Data Analytics

disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and;

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State of the Art in Neural Networks and Their Applications

State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their;

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New Developments In Artificial Neural Networks Research

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include a;

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Focus on Artificial Neural Networks

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;

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Neural Networks for Complete Beginners

This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;

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Principles Of Artificial Neural Networks

and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new;

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Designs and Applied Principles of Artificial Neural Networks

, and the analysis of artificial neural networks; and the application aspect dealing with applications of artificial neural networks in a broad;

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Metrics for Intrusion Detection in Wireless Sensor Networks

attacks. In this book a novel approach for intrusion detection in wireless sensor networks is developed. Common performance and network metrics;

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Handbook of Decision Support Systems for Neurological Disorders

, auto encoders, recurrent neural networks, and modified/hybrid artificial neural networks. Includes applications of computer;

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Intrusion Detection Networks

intrusion detection network (IDN). Using overlay networks that allow an intrusion detection system (IDS) to exchange information, IDNs can;

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Artificial Neural Networks - ICANN 2009

of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from;

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Artificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that;

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Neural Networks

With respect to the ever-increasing developments in artificial intelligence and artificial neural network applications in different scopes;

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Evolutionary Algorithms and Neural Networks

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At;

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Design and Implementation of Data Mining Tools

for intrusion detection. It examines various designs and performance results, along with the strengths and weaknesses of the approaches. The;

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Design and Implementation of Data Mining Tools

for intrusion detection. It examines various designs and performance results, along with the strengths and weaknesses of the approaches. The;

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AI and Deep Learning in Biometric Security

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems;

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Classification Methods for Internet Applications

, malware detection, intrusion detection and sentiment analysis. It explains how such classification problems can be solved using various;

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Einde inhoud

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