Artificial Intelligence and Data Mining Approaches in Security Frameworks

11 Chapter 11Figure 11.1 Conventional system for cyber security.Figure 11.2 Cyber security with supervised and unsupervised machine learning.Figure 11.3 Cyber-attack attribution rules through association rule mining.Figure 11.4 Supervised learning (Classification) and Unsupervised learning (Clus...Figure 11.5 Different stages for detecting cyber attack through data mining.

12 Chapter 12Figure 12.1 Intrusion detection system.Figure 12.2 Web-based intrusion detection system.Figure 12.3 Host-based Intrusion Detection SystemFigure 12.4 Application Protocol-based Intrusion Detection System (APIDS).Figure 12.5 Hybrid intrusion detection system.Figure 12.6 Misuse detection expert system (MDES).Figure 12.7 Signature-based analysis in IDS.Figure 12.8 Data mining in intrusion detection system.Figure 12.9 Classification tree.Figure 12.10 Regression tree.Figure 12.11 Model of modified decision tree algorithm.Figure 12.12 Stream of attack detection.

13 Chapter 13Figure 13.1 The Architecture of the experimental framework.Figure 13.2 Scatter plot of the collected data.Figure 13.3 Output GUI with sample output.Figure 13.4 Flowchart for the firefly algorithm ( Singh Rathore, P. et al. 2020 ).Figure 13.5 Blood pressure measuring GUI.Figure 13.6 Heart Rate measurement GUI.Figure 13.7 Oxygen measurement GUI.Figure 13.8 Warning message GUI.Figure 13.9 Cloud database value.Figure 13.10 GUI for optimal, best and worst parameters.

14 Chapter 14Figure 14.1 Gesture recognition product growth over Asia-Pacific regions (Source...Figure 14.2 Gesture classification.Figure 14.3 (a) Operations in Image Enhancement (b) Hand gestures in the process...Figure 14.4 Image acquisition taxonomy.Figure 14.5 Vision controlled remote (www.zdnet.com).

15 Chapter 15Figure 15.1 The capacity of spam emails 4th zone 2018 to 1st area 2019.Figure 15.2 Representation of an email server structure and process of spam filt...Figure 15.3 Structure of neural network (NN).Figure 15.4 Fuzzy set e-mail filtering manner workflow from person mailbox.

1 Chapter 1Table 4.1 Aspect of machine learning method in botnet detection system.

2 Chapter 8Table 8.1 Sample of featured extraction using ILBP method.Table 8.2 Comparison table.

3 Chapter 11Table 11.1 Common cyber attacks and their description.Table 11.2 Popular Data Mining Tools for cyber security.

4 Chapter 12Table 12.1 IDS type comparative.

5 Chapter 14Table 14.1 Comparison of classifiers.Table 14.2 Comparison of exiting vision based.

6 Chapter 15Table 15.1 Freely available email spam collection.

1 Cover

2 Table of Contents

3 Title Page

4 Preface

5 Copyright

6 Begin Reading

7 About the Editors

8 Index

9 End User License Agreement

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Scrivener Publishing100 Cummings Center, Suite 541J Beverly, MA 01915-6106

Advances in Cyber Security

Series Editor: Rashmi Agrawal and D. Ganesh Gopal

Scope: The purpose of this book series is to present books that are specifically designed to address the critical security challenges in today’s computing world including cloud and mobile environments and to discuss mechanisms for defending against those attacks by using classical and modern approaches of cryptography, blockchain and other defense mechanisms. The book series presents some of the state-of-the-art research work in the field of blockchain, cryptography and security in computing and communications. It is a valuable source of knowledge for researchers, engineers, practitioners, graduates, and doctoral students who are working in the field of blockchain, cryptography, network security, and security and privacy issues in the Internet of Things (IoT). It will also be useful for faculty members of graduate schools and universities. The book series provides a comprehensive look at the various facets of cloud security: infrastructure, network, services, compliance and users. It will provide real-world case studies to articulate the real and perceived risks and challenges in deploying and managing services in a cloud infrastructure from a security perspective. The book series will serve as a platform for books dealing with security concerns of decentralized applications (DApps) and smart contracts that operate on an open blockchain. The book series will be a comprehensive and up-to-date reference on information security and assurance. Bringing together the knowledge, skills, techniques, and tools required of IT security professionals, it facilitates the up-to-date understanding required to stay one step ahead of evolving threats, standards, and regulations.