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Chapter 18 Firewall and IDS in Cybersecurity

  • Lamia Hamza
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Cybersecurity Unlocked
This chapter is in the book Cybersecurity Unlocked

Abstract

Nowadays, networks are very dynamic and play an important role in our daily lives. The connection between companies and the Internet has become essential. Unfortunately, making connections between a network and the Internet opens a door to attacks that could harm our network and data. Therein lies a real challenge: how to provide access to all these services while protecting your resources from attacks by unwanted users. The current line of defense for companies focuses on firewalls, intrusion detection system (IDS), anti-malware, etc. A firewall ensures, by filtering, the control of information circulating between a private network and a public network, as well as preventing any unauthorized access attempts by users of a public network. An IDS, on the other hand, is intended to identify abnormal or suspicious activities on the analyzed target. The purpose of this chapter is to bring attention to the current trend toward human firewalls, next-generation firewalls, and next-generation IDS, which are essential to take into consideration for enhanced security in intelligent and dynamic environments. Additionally, the chapter will present the effectiveness of these tools in cybersecurity, where attacks do not necessarily require packet filtering.

Abstract

Nowadays, networks are very dynamic and play an important role in our daily lives. The connection between companies and the Internet has become essential. Unfortunately, making connections between a network and the Internet opens a door to attacks that could harm our network and data. Therein lies a real challenge: how to provide access to all these services while protecting your resources from attacks by unwanted users. The current line of defense for companies focuses on firewalls, intrusion detection system (IDS), anti-malware, etc. A firewall ensures, by filtering, the control of information circulating between a private network and a public network, as well as preventing any unauthorized access attempts by users of a public network. An IDS, on the other hand, is intended to identify abnormal or suspicious activities on the analyzed target. The purpose of this chapter is to bring attention to the current trend toward human firewalls, next-generation firewalls, and next-generation IDS, which are essential to take into consideration for enhanced security in intelligent and dynamic environments. Additionally, the chapter will present the effectiveness of these tools in cybersecurity, where attacks do not necessarily require packet filtering.

Chapters in this book

  1. Frontmatter I
  2. Contents V
  3. Chapter 1 Emerging Cyber Threats: Challenges, Impacts, and Proactive Defenses in the Digital Age 1
  4. Chapter 2 Silent Guardians: Proactive Approaches to Modern Cyber Threats 31
  5. Chapter 3 Data Science for Threat Detection and Analysis 59
  6. Chapter 4 An Integrated Approach: Merging Cybersecurity, AI, and Threat Detection 87
  7. Chapter 5 Cybersecurity Analytics: A Review of Challenges and the Role of Machine Learning and Deep Learning in Threat Detection 103
  8. Chapter 6 Hardware-Based Authentication Techniques for Secure Data Transmission in IoT Edge Computing 141
  9. Chapter 7 Securing the IoT Networks Using a Deep Learning Paradigm for Intrusion Detection 161
  10. Chapter 8 Hybrid Malware Detection and Classification Using Explainable Deep Neural Network 177
  11. Chapter 9 Light POW for Smart Grid Communication 201
  12. Chapter 10 Zero Trust Architecture – A Beginner’s Guide 227
  13. Chapter 11 Post-quantum Cryptography for Enhanced Authentication in Mobile Data Communication: Resilience Against Quantum Attacks 265
  14. Chapter 12 Two-Factor Authentication (2FA) and Multi-factor Authentication (MFA) Solutions for Secure Mobile Data Communication 287
  15. Chapter 13 Artificial Intelligence and Machine Learning in Cybersecurity 313
  16. Chapter 14 Enhancing IoT Security with Zero Trust Networking: Protecting Wireless Sensors, Edge Devices, and Cloud Environments 343
  17. Chapter 15 Biometric Authentication Methods for Mobile Devices: Exploring Fingerprint, Face Recognition, and Iris Scanning 365
  18. Chapter 16 Robust Dynamic Voice-Based Key Generation Using Novel Fuzzy Extraction, Averaged Thresholding, and Hamming Enhancement Techniques 385
  19. Chapter 17 Enhancing Cybersecurity with Artificial Intelligence and Machine Learning Techniques 413
  20. Chapter 18 Firewall and IDS in Cybersecurity 439
  21. Index
https://doi.org/10.1515/9783111712895-018

Chapters in this book

  1. Frontmatter I
  2. Contents V
  3. Chapter 1 Emerging Cyber Threats: Challenges, Impacts, and Proactive Defenses in the Digital Age 1
  4. Chapter 2 Silent Guardians: Proactive Approaches to Modern Cyber Threats 31
  5. Chapter 3 Data Science for Threat Detection and Analysis 59
  6. Chapter 4 An Integrated Approach: Merging Cybersecurity, AI, and Threat Detection 87
  7. Chapter 5 Cybersecurity Analytics: A Review of Challenges and the Role of Machine Learning and Deep Learning in Threat Detection 103
  8. Chapter 6 Hardware-Based Authentication Techniques for Secure Data Transmission in IoT Edge Computing 141
  9. Chapter 7 Securing the IoT Networks Using a Deep Learning Paradigm for Intrusion Detection 161
  10. Chapter 8 Hybrid Malware Detection and Classification Using Explainable Deep Neural Network 177
  11. Chapter 9 Light POW for Smart Grid Communication 201
  12. Chapter 10 Zero Trust Architecture – A Beginner’s Guide 227
  13. Chapter 11 Post-quantum Cryptography for Enhanced Authentication in Mobile Data Communication: Resilience Against Quantum Attacks 265
  14. Chapter 12 Two-Factor Authentication (2FA) and Multi-factor Authentication (MFA) Solutions for Secure Mobile Data Communication 287
  15. Chapter 13 Artificial Intelligence and Machine Learning in Cybersecurity 313
  16. Chapter 14 Enhancing IoT Security with Zero Trust Networking: Protecting Wireless Sensors, Edge Devices, and Cloud Environments 343
  17. Chapter 15 Biometric Authentication Methods for Mobile Devices: Exploring Fingerprint, Face Recognition, and Iris Scanning 365
  18. Chapter 16 Robust Dynamic Voice-Based Key Generation Using Novel Fuzzy Extraction, Averaged Thresholding, and Hamming Enhancement Techniques 385
  19. Chapter 17 Enhancing Cybersecurity with Artificial Intelligence and Machine Learning Techniques 413
  20. Chapter 18 Firewall and IDS in Cybersecurity 439
  21. Index
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