Optimizing Iot Security With Moth-Flame Optimization And Lattice-Based Cryptography For A Quantum-Resistant Encryption Approach

Authors

  • Ranjan Kumar Gupta Author
  • Ranu Pandey Author

DOI:

https://doi.org/10.64252/mr84k462

Keywords:

AES, Internet of Things, Lattice-Based Cryptography, Moth-Flame Optimization,

Abstract

The exponential growth of the Internet of Things (IoT) has also witnessed an influx of sensitive data transported among interlinked devices and cloud systems, and the risks of security and confidentiality are becoming worrisome. The conventional cryptography is becoming susceptible to new threats, more so when quantum computing advances. To overcome such problems, the following paper has put forward an innovative new encryption mechanism, a hybrid of Moth-Flame Optimization (MFO) and Lattice-Based Cryptography (LBC). LBC is the quantum resistant alternative to the more traditional form of cryptography and MFO improves the key generation and optimization. Strength of this dual-layered scheme to encrypt cryptographic keys is coupled with substantial encryption security and privacy of IoT transmissions to the cloud. The combination of MFO and LBC provides a secure, scalable, high-efficiency and future-proofing technique to counter limitations of resistance to classical and quantum attacks against it, which plague the traditionally used encryption schemes.

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Published

2025-08-11

Issue

Section

Articles

How to Cite

Optimizing Iot Security With Moth-Flame Optimization And Lattice-Based Cryptography For A Quantum-Resistant Encryption Approach. (2025). International Journal of Environmental Sciences, 2317-2325. https://doi.org/10.64252/mr84k462