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Optimization Research of Hyperchaotic Model-Driven Encryption Algorithm in Network Security

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In the context of the rapid advancement of global informatization, network security is facing unprecedented challenges, among which encryption technology, as the core means to ensure data security, has become increasingly important. This study proposes an innovative solution to improve the security and efficiency of existing encryption technologies through an in-depth discussion of hyperchaos theory and its application in encryption algorithm design. In order to verify the effectiveness of the hyperchaotic model, this paper selects the classical Lorentz chaotic system as the basis, extends and upgrades it, and constructs a hyperchaotic environment with multiple variables and enhanced nonlinear strength. Then, we apply this model to the AES (Advanced Encryption Standard) standard encryption algorithm and form a new framework fusing hyperchaotic characteristics. Using the characteristics of initial value sensitivity and pseudo-random sequence generation ability of a hyperchaotic system, the dynamic key update and the uncertainty of data stream encryption are enhanced, thus improving the decryption difficulty and the ability to resist attacks. The experimental results show that under the same hardware environment, compared with the traditional AES without hyperchaos optimization, the new algorithm shows obvious advantages in the face of brute force cracking: when trying to use brute force cracking to parse the 128-bit key length, the average time required is extended from about 56 hours to more than 370 days; For 256-bit keys, it has risen from nearly 100 million years to a time range that is almost impossible to estimate. At the same time, during the encryption and decryption speed test, it was found that although there was a slight delay increase (the average data processing time per bit increased by about 1.2 milliseconds), the overall level could still be maintained at a relatively fast level, which was suitable for most real-life scenarios. The experimental results can prove that the hyperchaotic model can strengthen the security of the encryption algorithm and promote improving the network security level.
Title: Optimization Research of Hyperchaotic Model-Driven Encryption Algorithm in Network Security
Description:
In the context of the rapid advancement of global informatization, network security is facing unprecedented challenges, among which encryption technology, as the core means to ensure data security, has become increasingly important.
This study proposes an innovative solution to improve the security and efficiency of existing encryption technologies through an in-depth discussion of hyperchaos theory and its application in encryption algorithm design.
In order to verify the effectiveness of the hyperchaotic model, this paper selects the classical Lorentz chaotic system as the basis, extends and upgrades it, and constructs a hyperchaotic environment with multiple variables and enhanced nonlinear strength.
Then, we apply this model to the AES (Advanced Encryption Standard) standard encryption algorithm and form a new framework fusing hyperchaotic characteristics.
Using the characteristics of initial value sensitivity and pseudo-random sequence generation ability of a hyperchaotic system, the dynamic key update and the uncertainty of data stream encryption are enhanced, thus improving the decryption difficulty and the ability to resist attacks.
The experimental results show that under the same hardware environment, compared with the traditional AES without hyperchaos optimization, the new algorithm shows obvious advantages in the face of brute force cracking: when trying to use brute force cracking to parse the 128-bit key length, the average time required is extended from about 56 hours to more than 370 days; For 256-bit keys, it has risen from nearly 100 million years to a time range that is almost impossible to estimate.
At the same time, during the encryption and decryption speed test, it was found that although there was a slight delay increase (the average data processing time per bit increased by about 1.
2 milliseconds), the overall level could still be maintained at a relatively fast level, which was suitable for most real-life scenarios.
The experimental results can prove that the hyperchaotic model can strengthen the security of the encryption algorithm and promote improving the network security level.

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