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A Provably Secure IBE Transformation Model for PKC Using Conformable Chebyshev Chaotic Maps under Human-Centered IoT
Chandrashekhar Meshram1, Agbotiname Lucky Imoize2,3, Amer Aljaedi4
1Department of Post Graduate Studies and Research in Mathematics, Jaywanti Haksar Govt. Post-Graduation College, College of Chhindwara University, Betul 460001, India.
Sensors (Basel, Switzerland)
|November 13, 2021
Summary
This study introduces a new identity-based encryption (IBE) transformation model for public key cryptography (PKC) in IoT environments. The proposed model offers enhanced security and efficiency compared to existing IBE schemes.
Area of Science:
- Computer Science
- Cybersecurity
- Cryptography
Background:
- Public Key Cryptography (PKC) is crucial for wireless network security in human-centered IoT.
- Traditional PKC faces challenges with directory management, increasing costs and complexity.
- Identity-Based Encryption (IBE) offers an alternative but requires new scheme development.
Purpose of the Study:
- To present a provably secure IBE transformation model for PKC in IoT environments.
- To address the limitations of existing IBE schemes regarding complexity and cost.
- To enhance the security and efficiency of wireless network communication.
Main Methods:
- Developed a novel IBE transformation model using conformable Chebyshev chaotic maps.
- Integrated the model within a human-centered IoT framework.
- Conducted extensive performance analysis and security proofs.
Main Results:
- The proposed IBE transformation model demonstrates robust security.
- Performance analysis confirms the model's efficiency and effectiveness.
- The model shows superiority over existing IBE schemes in security capabilities.
Conclusions:
- The developed IBE transformation model provides a secure and efficient solution for PKC in IoT.
- The findings suggest a significant improvement over preliminary IBE-based schemes.
- This research contributes to advancing secure communication in human-centered IoT environments.
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