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Abstract

In order to improve the security of information storage in multi-domain optical network privacy protection, hybrid encoding and encryption of privacy protection information in multi-domain optical network is carried out. A hybrid coding and secure encryption technique based on particle swarm optimization (PSO) for privacy protection information in multi-domain optical network is proposed. The coding mapping equation of privacy protection information security encryption in multi-domain optical network is constructed, and the privacy protection information of multi-domain fiber network is loaded into the coding mapping equation of security encryption of privacy protection information in multi-domain fiber network. A set of characteristic solutions describing the entropy function of the characteristic distribution of random encryption keys are obtained, and the elliptic mapping random linear combination coding and chaotic encryption key allocation are carried out. The privacy protection method of multi-domain optical fiber network is used to encrypt and decode information with mixed coding and steganography. Under the bilinear mapping coding system, the privacy-protected information in multi-domain optical network is encrypted and encrypted, stored and transmitted confidently. The simulation results show that this encryption technique has better steganography performance and better secure transmission and storage performance for the privacy protection information mixed encoding encryption in multi-domain optical network.

Keywords

Particle swarm optimization algorithm multi-domain fiber optic network secure encryption

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References

Drakakis ,

Rickard ,

R.D.

Frein and

Cichocki , Analysis of financial data using non-negative matrix factorization, International Mathematical Forum 3(37) (2008).

J.L.

Han ,

J.X.

Yuan ,

Wei , et al., Pedestrian visual positioning algorithm for underground roadway based on deep learning, Journal of Computer Applications 39(3) (2019), 688–694.

He and

Tan , Automatic pattern recognition of ecg signals using entropy-based adaptive dimensionality reduction and clustering, Applied Soft Computing 55 (2017), 238–252.

L.R.

Hu ,

J.G.

Wu and

Wang , Application and method for linear projective non-negative matrix factorization, Computer Science 40(10) (2013), 269–273.

Paul ,

T.A.A.

Victoire and

A.E.

Jeyakumar , Particle swarm approach for retiming in VLSI, 2003 46th Midwest Symposium on Circuits and Systems 3 (2003), 1532–1535.

Santhiya and

Satheeskumar , Design an access control scheme for the WBANs using the given signcryption, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) 5(9) (2017).

X.J.

Huang ,

R.Y.

You and

C.J.

Zhou , Study on optical properties of equivalent film constructed by metal nanoparticle arrays, Guangdianzi Jiguang/Journal of Optoelectronics Laser 24(7) (2013), 1434–1438.

Ke ,

Gong ,

Li ,

Zhu ,

Liu and

Zhang , A hybrid spatio-temporal data indexing method for trajectory databases, Sensors 14(7) (2014), 12990–13005.

P.K.

Sharma and

Sujediya , Smart temperature sensor design using voltage controlled ring oscillator, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) 5(8) (2017).

10.

Q.Z.

Li ,

C.Y.

Luan and

S.X.

Wang , Quality evaluation of face image based on convolutional neural network, Journal of Computer Applications 39(3) (2019), 695–699.

11.

Liu and

Shi , Model predictive control for thermostatically controlled appliances providing balancing service, IEEE Transactions on Control Systems Technology (2016), 1–12.

12.

Sujatha and

Hyrunnisha , A power proficient using leach protocol in wireless sensor network, International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) 5(10) (2017).

13.

X.T.

Ma ,

J.Q.

Luo and

S.L.

Wu , Joint sorting and location method using TDOA and multi-parameter of multi-station, Journal of National University of Defense Technology 37(6) (2015), 78–83.

14.

Z.H.

Wang ,

M.Y.

Huang and

Du , Integrated algorithm based on density peaks and density-based clustering, Journal of Computer Applications 39(2) (2019), 398–402.

15.

Y.Z.

Zheng and

R.Y.

You , Study on segmented correlation in EEG based on principal component analysis, Chinese Journal of Biomedical Engineering 22(3) (2013), 93–97.

16.

Paul ,

Ahmad ,

M.M.

Rathore and

Jabbar , Smartbuddy: Defining human behaviors using big data analytics in social internet of things, IEEE Wireless Communications 23(5) (2016), 68–74.

Research on secure encryption method of multi-domain fiber network based on particle swarm optimization algorithm

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