| Summary: “This book organizes in one place the mathematics, probability, statistics and machine learning information that is required for a practitioner of cybersecurity analytics, as well as the basics of cybersecurity needed for a practitioner”- Provided by publisher.
| Series: Chapman & Hall/CRC data science series | Includes bibliographical references and indexes. Description: Boca Raton, FL : CRC Press, 2020. Title: Cybersecurity analytics / Rakesh M. Library of Congress Cataloging-in-Publication Data Names: Verma, Rakesh M., author. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe.
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CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For permission to photocopy or use material electronically from this work, please access () or contact the Copyright Clearance Center, Inc. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. Government works Printed on acid-free paper International Standard Book Number-13: 978-1-0 (Hardback) 978-2-7 (Paperback) This book contains information obtained from authentic and highly regarded sources. Marchette Naval Surface Warfare Center, Dahlgren, VAĬRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742Ĭ 2020 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Verma University of Houston, Houston, TXĭavid J. Machine Learning – Supervised LearningĦ.14.2 New Metrics for Unbalanced Data SetsĦ.15 Security Applications and Adaptationsħ.7 Topic Models: Latent Dirichlet AllocationĨ.2 Basics of Language Study and NLP TechniquesĨ.4.1 Morphological, Word and Phrasal FeaturesĨ.4.2 Clausal and Sentence Level Featuresĩ.8.1 Implications of Big Data Characteristics on Security and Privacyĩ.8.2 Mechanisms for Big Data Security GoalsĬ.1.1 Conditional Probability and Bayes’ RuleĬ.1.4 Distribution Functions and Densities ĥ.9 Security Applications and Adaptationsĥ.9.1 Data Mining for Intrusion Detectionĥ.9.5 Directed Anomaly Scoring for Spear Phishing Detectionĥ.10 Concluding Remarks and Further ReadingĦ. Security: Basics and Security Analyticsģ.1.1 Know Thy Enemy – Attackers and Their Motivationsģ.2 Mechanisms for Ensuring Security Goalsģ.4 Applications of Data Science to Security Challengesģ.5 Security Analytics and Why We Need ItĤ.4 The Law of Large Numbers and the Central Limit Theoremĥ.5.1 Variations on the Apriori Algorithmĥ.6.7 Clustering Miscellany: Clusterability, Robustness, Incremen-tal. The Ultimate Addon Compatibility List created by SuperRepoĪutoruns (desinstalar esta versao, instalar a nova)īeeg.com (Adult) – Powered by XBMCHUB.2.3 Visualization and Exploratory Analysisģ.
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