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LWLCM: A novel lightweight stream cipher using logistic chaos function and multiplexer for IoT communications.

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We developed a new lightweight stream cipher for Internet of Things (IoT) security. This novel cryptographic method enhances data protection and performance for connected devices.

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Area of Science:

  • Cybersecurity
  • Cryptography
  • Internet of Things (IoT)

Background:

  • The Internet of Things (IoT) presents significant security challenges due to interconnected devices and data transmission vulnerabilities.
  • Balancing robust security with performance metrics like energy efficiency and throughput is critical for IoT applications.

Purpose of the Study:

  • To introduce a novel lightweight stream cipher specifically designed to address the security and performance challenges in IoT environments.
  • To enhance the security of IoT communications against threats like data leaks and unauthorized access.

Main Methods:

  • A new lightweight stream cipher architecture incorporating a logistic round module for chaotic outputs, LFSR/NLFSR for key expansion, and multiplexers for confusion/diffusion.
  • Ablation studies were conducted to evaluate the impact of individual components on security and performance metrics.
  • Performance was benchmarked against existing algorithms like Grain-128 and RSA-1024, and statistical randomness was assessed using NIST tests.

Main Results:

  • The proposed cipher demonstrates superior performance in encryption/decryption time, throughput, and energy efficiency compared to Grain-128 and RSA-1024.
  • The cryptographic design achieved an average Shannon entropy of 7.9996 and passed all 15 NIST statistical randomness tests.
  • Ablation studies confirmed that each component significantly contributes to the cipher's overall security and performance.

Conclusions:

  • The novel lightweight stream cipher offers an effective solution for securing data in resource-constrained IoT environments.
  • The architecture provides robust cryptographic security, balancing high performance with strong protection against cryptanalytic attacks.
  • The proposed method is a viable option for enhancing the security posture of the Internet of Things.