Fractional chaotic maps based short signature scheme under human-centered IoT environments

Area of Science:

• Computer Science
• Cryptography
• Network Security

Background:

• The Internet of Things (IoT) enables smart devices to share data, necessitating secure communication channels.
• Existing signature schemes for IoT face challenges with computational overhead and resource limitations on smart devices.
• Protection against malicious attacks during data exchange is crucial for human-centered IoT applications.

Purpose of the Study:

• To introduce an efficient Short Signature Scheme (SSS) for secure communication in IoT environments.
• To leverage Fractional Chaotic Maps (FCM) for lightweight cryptographic operations in smart devices.
• To address the computational expenses associated with traditional signature schemes in IoT.

Main Methods:

• A novel Short Signature Scheme (SSS) was designed utilizing Fractional Chaotic Map (FCM).
• The scheme incorporates four sub-algorithms: setup, key generation, signing, and verification.
• Less rigorous, FCM-based operations were employed for efficient signing and verification processes.

Main Results:

• The proposed SSS provides superior security assurance compared to existing signature schemes.
• It demonstrates reduced computational requirements during the verification and signing stages.
• The SSS offers lower bandwidth usage for storage and communication, ideal for wireless devices and smart cards.

Conclusions:

• Fractional Chaotic Maps (FCM) are effective for securing human-centered IoT communication.
• The developed SSS is a provably secure and efficient short signature technique.
• The scheme is particularly suitable for resource-constrained IoT devices and applications.