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System of Memory01:23

System of Memory

Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...

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A three-dimensional memristor-based hyperchaotic map for pseudorandom number generation and multi-image encryption.

Suo Gao1, Siqi Ding2, Herbert Ho-Ching Iu3

  • 1School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China.

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Summary
This summary is machine-generated.

This study introduces a novel three-dimensional hyperchaotic map based on a memristor (3D-HMBM) for generating complex pseudorandom sequences. The 3D-HMBM shows potential for secure encryption applications, including multi-image encryption.

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Area of Science:

  • Nonlinear Dynamics
  • Chaos Theory
  • Memristor Applications

Background:

  • Memristor resistance variations can generate pseudorandom sequences for encryption.
  • Existing memristor-based systems require enhanced chaotic complexity for robust security.

Purpose of the Study:

  • Introduce a novel three-dimensional hyperchaotic map based on a memristor (3D-HMBM).
  • Enhance the chaotic complexity of memristor-based discrete systems for secure pseudorandom number generation.
  • Develop a multi-image encryption algorithm utilizing the 3D-HMBM.

Main Methods:

  • Integrated a sine-function nonlinearity with a discrete memristor model to create the 3D-HMBM.
  • Analyzed dynamical properties using Lyapunov exponents.
  • Verified sequence complexity with Spectral Entropy and C0 complexity.
  • Investigated the phenomenon of infinite coexisting attractors.
  • Validated simulation results through digital-circuit implementation.

Main Results:

  • The 3D-HMBM exhibits transitions from periodicity to chaos and hyperchaos.
  • The system demonstrates a unique characteristic of infinite coexisting attractors.
  • The generated keystream passed statistical and cryptographic analyses, confirming its suitability for encryption.
  • A multi-image encryption algorithm was successfully proposed and validated.

Conclusions:

  • The 3D-HMBM offers enhanced chaotic complexity and a unique attractor phenomenon.
  • The proposed encryption algorithm provides a secure method for multi-image data protection.
  • The 3D-HMBM shows significant promise for cryptographic applications and secure communication systems.