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Chapter 6 Hardware-Based Authentication Techniques for Secure Data Transmission in IoT Edge Computing

  • Sangeetha Rajaram , Satyanarayana Vollala , N. Ramasubramanian und J. Kokila
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Cybersecurity Unlocked
Ein Kapitel aus dem Buch Cybersecurity Unlocked

Abstract

Cryptographic authentication is needed everywhere in the IoT ecosystem, like authenticated sender, receiver, message, document, client, server, website, web server, data repository, authenticated meeting, group, community, router, switch, and so on. In this chapter, we are going to introduce the important hardware-based authentication techniques for digital signatures, digital certificate, and key exchange protocols. The hardware-based signatures adopt the existing cryptographic mechanisms of signing things that ensure authentication, integrity, and non-repudiation. That is, the device ensures the sender, who cannot deny being the sender, and the device’s message is unaltered. The following steps are to be followed for the working of hardware-based signatures: key generation, signing, and signature verification based on the SoC platform. A digital certificate is issued by a Certificate Authority (trusted third party) that is used to verify the identity of the device automatically in an IoT ecosystem. Digital certificates usually contain the identity of the device holder, the number that uniquely identifies the certificate, the expiration date, the holder’s public key copy, and the digital signature of the issuing authority. Some of the digital certificates are SSL certificates, credit/ debit card certificates, and email certificates. Key exchange protocols exchange long-term and short-term session keys securely. They use long-term keys to generate short-term keys in hardware modules. Short-term key is used as a session key. On reveal of a session key, past or future keys are not revealed for security reasons. Some of the key exchange 142protocols are IKEv1, SDES, RTP, and RTCP. Deploying such protocols in hardware platforms is still challenging and the future scope of this chapter.

Abstract

Cryptographic authentication is needed everywhere in the IoT ecosystem, like authenticated sender, receiver, message, document, client, server, website, web server, data repository, authenticated meeting, group, community, router, switch, and so on. In this chapter, we are going to introduce the important hardware-based authentication techniques for digital signatures, digital certificate, and key exchange protocols. The hardware-based signatures adopt the existing cryptographic mechanisms of signing things that ensure authentication, integrity, and non-repudiation. That is, the device ensures the sender, who cannot deny being the sender, and the device’s message is unaltered. The following steps are to be followed for the working of hardware-based signatures: key generation, signing, and signature verification based on the SoC platform. A digital certificate is issued by a Certificate Authority (trusted third party) that is used to verify the identity of the device automatically in an IoT ecosystem. Digital certificates usually contain the identity of the device holder, the number that uniquely identifies the certificate, the expiration date, the holder’s public key copy, and the digital signature of the issuing authority. Some of the digital certificates are SSL certificates, credit/ debit card certificates, and email certificates. Key exchange protocols exchange long-term and short-term session keys securely. They use long-term keys to generate short-term keys in hardware modules. Short-term key is used as a session key. On reveal of a session key, past or future keys are not revealed for security reasons. Some of the key exchange 142protocols are IKEv1, SDES, RTP, and RTCP. Deploying such protocols in hardware platforms is still challenging and the future scope of this chapter.

Kapitel in diesem Buch

  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/10.1515/9783111712895-006

Kapitel in diesem Buch

  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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Heruntergeladen am 24.1.2026 von https://www.degruyterbrill.com/document/doi/10.1515/9783111712895-006/html
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