Intelligent Data Analytics for Terror Threat Prediction

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Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis.
This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.

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8 Chapter 9Figure 9.1 Face.Figure 9.2 Hand geometry.Figure 9.3 Fingerprint.Figure 9.4 Voice detection.Figure 9.5 Iris.Figure 9.6 Keystrokes.Figure 9.7 (a), (b) Forms of linking biometric framework with cryptanalysis.

9 Chapter 10Figure 10.1 Architecture of Hadoop.Figure 10.2 Types of Homomorphic Encryption.

10 Chapter 12Figure 12.1 Architecture of WSN.Figure 12.2 Different parameters for security of information collection.Figure 12.3 Various standards for attack detection.

11 Chapter 14Figure 14.1 Cybercrime evolution.Figure 14.2 MITM attack.Figure 14.3 Steps of Phishing attack.Figure 14.4 A sample email.Figure 14.5 Session hijacking levels.Figure 14.6 A sample session hijacking.Figure 14.7 Steps of XSS attack.Figure 14.8 SQL injection interpretation.Figure 14.9 A sample DOS attack.Figure 14.10 Differentiation between dark, deep & surface web.Figure 14.11 Tor browser functionality.

Guide

1 Cover

2 Table of Contents

3 Title Page

4 Copyright

5 Preface

6 Begin Reading

7 Index

8 End User License Agreement

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Scrivener Publishing

100 Cummings Center, Suite 541J

Beverly, MA 01915-6106

Publishers at Scrivener

Martin Scrivener ( martin@scrivenerpublishing.com)

Phillip Carmical ( pcarmical@scrivenerpublishing.com)

Intelligent Data Analytics for Terror Threat Prediction

Architectures, Methodologies, Techniques and Applications

Edited by

Subhendu Kumar Pani

Sanjay Kumar Singh

Lalit Garg

Ram Bilas Pachori

Xiaobo Zhang

This edition first published 2021 by John Wiley Sons Inc 111 River Street - фото 1

This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA

© 2021 Scrivener Publishing LLC

For more information about Scrivener publications please visit www.scrivenerpublishing.com

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise,except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at www.wiley.com/go/permissions.

Wiley Global Headquarters

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For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com

Limit of Liability/Disclaimer of Warranty

While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchant-ability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials, or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read.

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