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Emerging Threats and Countermeasures in Cybersecurity.

This book is an essential resource for anyone seeking to stay ahead in the dynamic field of cybersecurity, providing a comprehensive toolkit for understanding and combating digital threats and offering practical, insightful guidance ideal for cybersecurity professionals, digital forensic investigato...

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Bibliographic Details
Main Author: Shrivastava, Gulshan
Other Authors: Ojha, Rudra Pratap, Awasthi, Shashank, Sharma, Kavita, Bansal, Himani
Format: eBook
Language:English
Published: Newark : John Wiley & Sons, Incorporated, 2024.
Series:Advances in Antenna, Microwave, and Communication Engineering Series.
Subjects:
Computer security.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Series Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 Emerging Threats and Trends in Digital Forensics and Cybersecurity
  • 1.1 Introduction
  • 1.2 Threats Faced by Digital Forensics
  • 1.2.1 Technical Challenges
  • 1.2.2 Operational Challenges
  • 1.2.3 Personnel-Related Challenges
  • 1.3 Cybersecurity Threats in 2023
  • 1.3.1 Social Engineering
  • 1.3.2 Third-Party Exposure
  • 1.3.3 Configuration Mistakes
  • 1.3.4 Poor Cyber Hygiene
  • 1.3.5 Cloud Vulnerabilities
  • 1.3.6 Mobile Device Vulnerabilities
  • 1.3.7 Internet of Things (IoT)
  • 1.3.8 Ransomware
  • 1.3.9 Poor Data Management
  • 1.3.10 Inadequate Post-Attack Procedures
  • 1.4 New Era of Technology and Their Risks
  • 1.4.1 Autonomous Vehicles
  • 1.4.2 Artificial Intelligence
  • 1.4.3 Robotics and Robotics Process Automation
  • 1.4.4 Internet of Things (IoT)
  • 1.4.5 5G
  • 1.5 Challenges for Digital Forensics
  • 1.5.1 High Speed and Volumes
  • 1.5.2 Explosion Complexity
  • 1.5.3 Development of Standards
  • 1.5.4 Privacy-Preserving Investigations
  • 1.5.5 Legitimacy
  • 1.5.6 Rise of Anti-Forensic Techniques
  • 1.6 Impact of Mobile Gadgets on Cybersecurity
  • 1.7 The Vulnerabilities in Wireless Mobile Data Exchange
  • 1.7.1 Interception of Data
  • 1.7.2 Malware Attacks
  • 1.7.3 Rogue Access Points
  • 1.7.4 Denial of Service Attacks
  • 1.7.5 Weak Encryption
  • 1.8 Network Segmentation and its Applications
  • 1.8.1 Applications
  • 1.8.2 Benefits of Network Segmentation
  • 1.9 Relationship Between Privacy and Security
  • 1.9.1 Security
  • 1.9.2 Privacy
  • 1.10 Recent Trends in Digital Forensics
  • 1.10.1 Cloud Forensics
  • 1.10.2 Social Media Forensics
  • 1.10.3 IoT Forensics
  • 1.11 Opportunities in this Field
  • 1.11.1 USB Forensics
  • 1.11.2 Intrusion Detection
  • 1.11.3 Artificial Intelligence (AI)
  • 1.12 Future Enhancements in Digital Forensics
  • 1.13 Cybersecurity and Cyber Forensics in Smart Cities
  • 1.13.1 Smart Cities are Entitled to Cyber-Physical Systems
  • 1.13.1.1 Administrative
  • 1.13.1.2 Complex CPS in a Glimpse
  • 1.13.1.3 IoT Technologies in Smart Cities of the Future
  • 1.14 Network Security and Forensics
  • 1.15 Software and Social Engineering Attacks on RSA
  • 1.16 Cyber Threats and Cybersecurity
  • 1.17 Conclusion
  • Bibliography
  • Chapter 2 Toward Reliable Image Forensics: Deep Learning-Based Forgery Detection
  • 2.1 Introduction
  • 2.2 Fundamentals of Image Forensics
  • 2.2.1 History
  • 2.2.2 Image Forgery Types
  • 2.2.3 Classical Image Forensics Techniques
  • 2.3 Deep Learning in Image Forensics
  • 2.3.1 Convolutional Neural Networks (CNNs)
  • 2.3.2 Generative Adversarial Networks (GANs)
  • 2.4 Datasets of Image Forgery Detection
  • 2.5 Feature Extraction and Representation
  • 2.6 Model Training and Evaluation
  • 2.6.1 Model Training
  • 2.6.2 Loss Functions
  • 2.6.3 Evaluation Metrics
  • 2.7 Challenges and Future Scope