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True Random Number Generator (TRNG) Utilizing FM Radio Signals for Mobile and Embedded Devices in Multi-Access Edge

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A new true random number generator (TRNG) uses FM radio signals for secure data encryption in mobile computing. This method significantly boosts random number entropy, enhancing data confidentiality and integrity for edge computing applications.

Keywords:
FM radio signalcryptographymobile communicationmulti-access edge computing (MEC)random numberrandom number generationtrue random number generator

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Area of Science:

  • Computer Science
  • Cryptography
  • Telecommunications Engineering

Background:

  • Mobile and embedded devices in multi-access edge computing (MEC) require secure data transmission.
  • Cryptographic systems rely on secure random number generation for keys and seeds.
  • Existing random number generators may lack sufficient entropy for robust security.

Purpose of the Study:

  • To propose a novel true random number generator (TRNG) for enhanced data security in MEC.
  • To leverage FM radio signals as a high-entropy source for random number generation.
  • To improve the security and efficiency of cryptographic key generation.

Main Methods:

  • Development of a TRNG system utilizing FM radio signals.
  • Implementation of signal processing techniques to extract randomness from FM broadcasts.
  • Entropy assessment and comparison with existing random number generation methods.

Main Results:

  • The proposed FM radio-based TRNG generates random numbers with significantly higher entropy.
  • Entropy increase observed ranges from 118% to 431% compared to existing generators.
  • Demonstrated feasibility of using ambient radio signals for secure cryptographic primitive generation.

Conclusions:

  • FM radio signals provide a viable and effective source for high-entropy true random number generation.
  • The proposed TRNG enhances data confidentiality and integrity in multi-access edge computing.
  • This approach offers a practical solution for secure random number generation in resource-constrained devices.