Introduction to Machine Learning with Applications in Information Security

Preface

About the Author






What is Machine Learning?



A Revealing Introduction to Hidden Markov Models



Principles of Principal Component Analysis



A Reassuring Introduction to Support Vector Machines



A Comprehensible Collection of Clustering Concepts



Many Mini Topics



Deep Thoughts on Deep Learning



Onward to Backpropagation



A Deeper Diver into Deep Learning



Alphabet Soup of Deep Learning Topics



HMMs for Classic Cryptanalysis



Image Spam Detection



Image-Based Malware Analysis



Malware Evolution Detection



Experimental Design and Analysis



Epilogue

References

Index

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Segurança do computador
• Economia estatística
• Teoria matemática da computação
• Aprendizagem mecânica
• Redes de computadores e comunicações
• Jogos de desenvolvimento e programação
• Econometria

malware detection;intrusion detection;cryptography;pattern recognition;statistical learning;computer and network security;Elementary Sampling Units;SVM Model;Dl Model;SMO Algorithm;Anti-virus Software;Antivirus Software;RNN Architecture;Mode Automatic Differentiation;SVM Training;Single Layer Perceptron;Malware Samples;Malware Families;Linear SVM;Convolutional Layer;SVM Weight;Random Restarts;Regular Grid Sampling;Cluster Random Sampling;Roc Curve;PR Curve;Putative Key;Em Algorithm;Homophonic Substitution;Em Cluster