Cyber defense mechanisms : security, privacy, and challenges / edited by Gautam Kumar, Dinesh Kumar Saini, and Nguyen Ha Huy Cuong.

Format:

Book

Contributor:

Kumar, Gautam, 1990-

Saini, Dinesh Kumar, 1974-

Cuong, Nguyen Ha Huy.

Series:

Artificial intelligence (AI). Elementary to advanced practices

Language:

English

Subjects (All):

Computer security.

Physical Description:

1 online resource (231 pages)

Edition:

1st ed.

Place of Publication:

Boca Raton, FL : CRC Press, 2021.

Summary:

This book discusses the evolution of security and privacy issues and brings related technological tools, techniques, and solutions into one single source. The book will take readers on a journey to understanding the security issues and possible solutions involving various threats, attacks, and defense mechanisms, which include IoT, cloud computing, Big Data, lightweight cryptography for blockchain, and data-intensive techniques, and how it can be applied to various applications for general and specific use. Graduate and postgraduate students, researchers, and those working in this industry will find this book easy to understand and use for security applications and privacy issues.

Contents:

Cover

Half Title

Series Page

Title Page

Copyright Page

Table of Contents

Preface

Editors

Contributors

Chapter 1 Security Threat Analysis and Prevention towards Attack Strategies

1.1 Introduction

1.2 History of Security Breaches

1.3 Common Security Threats

1.3.1 Malware

1.3.2 Phishing

1.3.3 Spear Phishing

1.3.4 "Man in the Middle" (MitM) Attack

1.3.5 Trojans

1.3.6 Ransomware

1.3.7 Denial-of-Service Attack or Distributed Denial-of-Service Attack (DDoS)

1.3.8 Attacks on IoT Devices

1.3.9 Data Breaches

1.3.10 Malware on Mobile Apps

1.4 Security Challenges in Modern Day

1.4.1 Cloud Computing

1.4.2 Social Media

1.4.3 Smart Phones

1.4.4 General Data Protection Regulations (GDPR)

1.4.5 Attacks Based on Machine Learning and AI

1.4.6 Attacks against Cryptocurrencies and Blockchain Systems

1.4.7 Switching to DevOps

1.4.8 Biometric Authentication

1.4.9 Fileless Malware

1.5 Attack Strategies and Brief Study on Advanced Persistent Threat (APT)

1.5.1 How an APT Attack Works

1.5.2 Some Instances of APTs

1.5.3 Characteristics of APTs

1.6 Prevention Measures

1.6.1 Identify the Threats

1.6.2 Beware of Cybercrimes

1.6.3 Observe All Stakeholders

1.6.4 Usage of Two-Factor Authentication

1.6.5 Conduct Regular Audits

1.6.6 Draft a Credit Sign-Off Policy

1.6.7 Protect Vital Data

1.6.8 Perform Risk Assessments

1.6.9 Insure against Cybercrime

1.6.10 Gather In-Depth Knowledge about Risk Factors

1.7 Threat Modeling

1.8 Role of a Threat Analyst

1.9 Summary

References

Chapter 2 Defense against the Survivability to Network Strategies

2.1 Introduction

2.2 Survivability Network Architecture-SONET and Self-Healing Ring Transportation

2.3 Single-Access Optical Network Ring Architecture.

2.4 Multiaccess Optical Network Ring Architecture

2.5 Channel Demand Routing Ring Architecture

2.6 Result

2.7 Conclusion

Chapter 3 Defense Mechanism to Self-Adaptive Cyber-Physical Security Systems

3.1 Introduction

3.2 Background Knowledge of CPS

3.3 Application Areas of Cyber-Physical System (CPS)

3.4 Philosophical Issues of CPS

3.5 Principle of CPS Operation

3.6 Architecture of CPS

3.6.1 Physical Layer

3.6.2 Data Link Layer

3.6.3 Network Layer

3.6.4 Transport Layer

3.6.5 Session Layer

3.6.6 Presentation Layer

3.6.7 Application Layer

3.7 Self-Adaptive Patterns

3.7.1 Synthesis Utilized Pattern

3.7.2 Synthesis Command Patterns

3.7.3 Collect Organized Patterns

3.8 Security Threats of CPS

3.9 Attacks on CPS

3.10 Attacks and Its Consequences

3.11 Adversaries' Characteristics

3.12 Conclusion

Chapter 4 Secure Channel Allocation in Cognitive Radio-Wireless Sensor Networks

4.1 Introduction

4.2 Related Works

4.3 System Model

4.4 Common Attacks in CR-WSN

4.4.1 Replay Attack

4.4.2 Node-Targeted Attack

4.4.3 Power Consumption Attack

4.4.4 Location Privacy

4.5 Performance Evaluation

4.5.1 Countermeasures in CR-WSN

4.6 Conclusion and Future Work

Chapter 5 Security Issues in IoT Networks

5.1 Introduction

5.2 Challenges for IoT Network

5.2.1 The Most Important Challenges in IoT Network

5.2.1.1 Schema Processing

5.2.1.2 Speed

5.2.1.3 The Value

5.2.1.4 The Security

5.3 Elements for the Internet of Things (IoT)

5.4 Cases and Scenarios for IoT Network

5.4.1 Clustering

5.4.2 Tracking

5.4.3 Tactical Networks and High Dynamic Network

5.5 The Vision of Internet of Things (IoT)

5.6 Software-Defined IoT

5.7 IoT Architecture

5.8 Algorithm for Internet of Things (IoT).

5.9 Business Context of the IoT

5.10 IoT Device Information Collection Process

5.11 Introduction to IoT Security

5.12 D evelopment of IoT Security Mechanisms

5.13 Security Attacks in IoT

5.14 IoT Security Challenges

5.14.1 IoT Security Risks and Challenges

5.14.2 IoT Security Requirements

5.15 Conclusion

Chapter 6 IoT Ecosystem Implications to Real-World Security Scenario

6.1 IoT Ecosystem History

6.2 IoT Ecosystem

6.2.1 Building an IoT Ecosystem

6.3 Challenges in Building an Ecosystem

6.4 IoT Ecosystem Implications

6.5 IoT Security Implications

6.6 Current IoT Security Scenario and Trends

6.6.1 Why These Are Not Enough

6.6.2 The Ideal Security System

6.7 A Solution-Blockchain Technology

6.7.1 Implementing Blockchain in an IoT Ecosystem

6.8 Conclusion

Chapter 7 Design Principles and Privacy in Cloud Computing

7.1 Introduction

7.1.1 Evolution of Cloud Computing

7.1.2 Applications of Cloud Computing in Various Domains

7.1.3 Generalized Architecture for Cloud Computing

7.1.4 Design Principles in Cloud Computing

7.1.5 Privacy Issues in Cloud Computing

7.1.6 Chapter Outline

7.2 Security Requirements and Attacks in Cloud Computing

7.2.1 Threat Model

7.2.2 Security Requirements in Cloud Computing

7.2.3 Security Attacks in Cloud Computing

7.3 Taxonomy of Security and Privacy Preservation Protocols in Cloud Computing

7.3.1 Key Management

7.3.2 User Authentication/Device Authentication

7.3.3 Access Control/User Access Control

7.3.4 Intrusion Detection

7.3.5 Privacy Preservation

7.4 Challenges and Future Research Directions

7.4.1 Design of Lightweight Security Protocols

7.4.2 Securing Data Mining Methods

7.4.3 Granular Auditing

7.4.4 Blockchain-Based Decentralized Mechanisms

7.5 Conclusion.

Bibliography

Chapter 8 Big Data Analysis on Smart Tools and Techniques

8.1 Introduction

8.2 Big Data Challenges

8.3 Big Data Analysis Techniques and Tools

8.3.1 Data Mining

8.3.2 Web Mining

8.3.3 Visualization Methods

8.3.4 Machine Learning

8.3.5 Multilayer Perceptron (MLP)

8.3.6 Kohonen Self-Organizing Feature Maps (SOFMs)

8.3.7 Support Vector Machine (SVM)

8.3.8 Optimization Methods

8.3.9 Stochastic Optimization

8.3.10 Deterministic Optimization

8.4 Related Work

8.5 Discussion and Conclusion

8.5.1 Discussion

8.5.2 Conclusion

Chapter 9 Lightweight Security Protocols for Blockchain Technology

9.1 Introduction

9.2 Blockchain Technology Design Space

9.3 Consensus

9.3.1 Distinct Features of Blockchain Distributed Architecture

9.4 Practical Applications of Blockchain

9.5 Advantages and Disadvantages of Blockchain

9.5.1 Advantages

9.5.2 Disadvantages

9.6 Limitations and Drawbacks of Blockchain

9.7 Comparative Study on Authentication Protocols for Blockchain Technology

9.7.1 Comparison of Security and Functionality Features

9.7.2 Comparison of Communication Costs

9.7.3 Comparison of Computation Costs

9.8 Deployment and Implementation of Testbeds for Blockchain

9.9 Conclusion

Acknowledgments

Bibliography

Chapter 10 Privacy and Challenges to Data-Intensive Techniques

10.1 Introduction

10.2 Advantages of Cybersecurity

10.3 Approach and Workflow

10.3.1 Common Steps in Cybersecurity

10.3.2 Set Up Your Risk Management Regime

10.4 Cybersecurity Principles and Goals

10.5 Strategies and Methodologies Used to Achieve Cybersecurity Solution

10.5.1 Confidentiality

10.5.1.1 Tools for Confidentiality

10.5.2 Integrity

10.5.2.1 Tools for Integrity

10.5.3 Availability

10.5.3.1 Tools of Availability.

10.5.4 Challenges of Cybersecurity

10.5.5 Data Security Consideration

10.6 Privacy Preservation

10.6.1 Privacy in Cybersecurity

10.6.2 Data-Intensive Technology

10.7 Challenges in Data-Intensive Techniques

10.8 Cybersecurity to Data-Intensive Techniques

10.8.1 Challenges to Cybersecurity to Data-Intensive Techniques

10.9 Conclusion

Chapter 11 Dynamic Modeling on Malware and Its Defense in Wireless Computer Network Using Pre-Quarantine

11.1 Introduction

11.2 Related Works

11.3 Nomenclature

11.4 Formulation of Mathematical Model and Assumptions

11.5 Mathematical Model (S, Q, I, Q[sub(1)], R)

1 11.6 Basic Reproduction Number and Equilibrium

11.7 Existence and Stability Analysis

11.8 Conclusion

Chapter 12 Privacy Preservation Algorithms on Cryptography for AI as Human-like Robotic Player for Fighting Game Using Rule-Based Method

12.1 Introduction

12.2 Purpose and Goal of the Research

12.3 Relationship between the AI/Human Players and the System

12.4 Game-Related Information

12.4.1 Game Rules

12.4.2 Character Information

12.5 Approach

12.5.1 Rule-Based Method Structure

12.5.2 Rule Analysis of the Fighting Game Player

12.5.3 Methodology

12.6 Experiment

12.6.1 Environment and Settings

12.6.2 Results and Discussions

12.6.3 Comparison of Experiments between Removing Some Rules and Removing All Rules of My Computer Player

12.7 C onclusion

Chapter 13 Web-Based Smart Agriculture System

13.1 Introduction

13.2 Major Factors of Smart Agriculture

13.2.1 Increase in Agriculture Productivity

13.2.2 Minimizing Agriculture Greenhouse Gases

13.3 Ancient Farming Technology and Machinery

13.3.1 Old Techniques

13.3.2 Old Machinery

13.4 Drawbacks of Old Techniques

13.5 Tools Used For Smart Agriculture.

13.5.1 GPS Locator.

Notes:

Description based on print version record.

ISBN:

1-000-17192-2

0-367-81643-1

1-000-17198-1

9780367816438

OCLC:

1176482859