# American Institute of Mathematical Sciences

August & September  2019, 12(4&5): 1457-1470. doi: 10.3934/dcdss.2019100

## Data encryption algorithm for e-commerce platform based on blockchain technology

 1 School of Information Science and Technology, Tibet University, Lhasa, China 2 Science and Research Office, Tibet University, Lhasa, China

* Corresponding author: Fei Gao

Received  June 2017 Revised  November 2017 Published  November 2018

Aiming at the poor encryption effect existing in the data encryption algorithm of e-commerce platform, and the data lost and distorted easily after encrypting, a data encryption algorithm based on blockchain technology is proposed in this paper. By analyzing the symmetric key algorithm and the public key algorithm, the DES encryption algorithm is described in detail. The two related technologies of digital envelopes and message authentication are analyzed to ensure the accuracy of the data and the one time encryption of the data. Based on this, in order to ensure the effectiveness of encryption, the process of asymmetric encryption algorithm based on chaotic sequence of neural network and asymmetric encryption algorithm based on neural network chaotic attractor are analyzed, and the security is tested. While ensuring the accuracy of data, it improves the effect of data encryption and realizes the encryption of e-commerce platform data, which is to realize data encryption algorithm based on blockchain technology. Experimental results show that the~proposed algorithm can encrypt the data of e-commerce platform, and the encryption process is relatively simple, the encryption effect is better, and the accuracy of the encrypted data is relatively high, which provides a theoretical basis for further research of the subject.

Citation: Fei Gao. Data encryption algorithm for e-commerce platform based on blockchain technology. Discrete & Continuous Dynamical Systems - S, 2019, 12 (4&5) : 1457-1470. doi: 10.3934/dcdss.2019100
##### References:

show all references

##### References:
DES encryption algorithm structure
Packet symmetric encryption communication scheme based on chaotic neural network
Comparison of SNR for encryption with different algorithms
Comparison of noise after encryption and decryption with different algorithms
Hardware environment
 Name System Software Remark Dell Win7 (64 bit) Weblogic12.1.1 application system Dell Win7 (64 bit) Tamcat6.0.32 SSL Test server HP ProLiant DL380 G5 Windows server2003 Oracle11g Routing database, Business database HP ProLiant DL380 G5 Win7 (32 bit) Oracle11g Business database HP ProLiant DL140 Win7 (32 bit) Oracle11g Business database
 Name System Software Remark Dell Win7 (64 bit) Weblogic12.1.1 application system Dell Win7 (64 bit) Tamcat6.0.32 SSL Test server HP ProLiant DL380 G5 Windows server2003 Oracle11g Routing database, Business database HP ProLiant DL380 G5 Win7 (32 bit) Oracle11g Business database HP ProLiant DL140 Win7 (32 bit) Oracle11g Business database
Software environment
 Name Version Purpose E-mart application system V1.0 Experimental application system platform weblogic 12.1.1 Application server tomcat 6.0.32 SSL test application server Oracle routing database 11.2.0.1.0 Switching enterprise table space Oracle business database 11.2.0.1.0 Storing business data openSSL 1.0.2g Generating certificate file and related signature
 Name Version Purpose E-mart application system V1.0 Experimental application system platform weblogic 12.1.1 Application server tomcat 6.0.32 SSL test application server Oracle routing database 11.2.0.1.0 Switching enterprise table space Oracle business database 11.2.0.1.0 Storing business data openSSL 1.0.2g Generating certificate file and related signature
Running time of different algorithms
 Data size/MB The proposed algorithm /ms Chaotic sequence /ms Chaotic parameter modulation /ms 2 137 186 213 4 189 256 276 6 256 354 342 8 301 427 408 10 387 506 474 15 452 584 542
 Data size/MB The proposed algorithm /ms Chaotic sequence /ms Chaotic parameter modulation /ms 2 137 186 213 4 189 256 276 6 256 354 342 8 301 427 408 10 387 506 474 15 452 584 542
 [1] Jianbin Li, Mengcheng Guan, Zhiyuan Chen. Optimal inventory policy for fast-moving consumer goods under e-commerce environment. Journal of Industrial & Management Optimization, 2017, 13 (5) : 1-13. doi: 10.3934/jimo.2019028 [2] Aiwan Fan, Qiming Wang, Joyati Debnath. A high precision data encryption algorithm in wireless network mobile communication. Discrete & Continuous Dynamical Systems - S, 2019, 12 (4&5) : 1327-1340. doi: 10.3934/dcdss.2019091 [3] Archana Prashanth Joshi, Meng Han, Yan Wang. A survey on security and privacy issues of blockchain technology. Mathematical Foundations of Computing, 2018, 1 (2) : 121-147. doi: 10.3934/mfc.2018007 [4] Yi Zhang, Xiao-Li Ma. Research on image digital watermarking optimization algorithm under virtual reality technology. Discrete & Continuous Dynamical Systems - S, 2019, 12 (4&5) : 1427-1440. doi: 10.3934/dcdss.2019098 [5] Weiping Li, Haiyan Wu, Jie Yang. Intelligent recognition algorithm for social network sensitive information based on classification technology. Discrete & Continuous Dynamical Systems - S, 2019, 12 (4&5) : 1385-1398. doi: 10.3934/dcdss.2019095 [6] Débora A. F. Albanez, Maicon J. Benvenutti. Continuous data assimilation algorithm for simplified Bardina model. Evolution Equations & Control Theory, 2018, 7 (1) : 33-52. doi: 10.3934/eect.2018002 [7] Kyung Jae Kim, Jin Soo Park, Bong Dae Choi. Admission control scheme of extended rtPS algorithm for VoIP service in IEEE 802.16e with adaptive modulation and coding. Journal of Industrial & Management Optimization, 2010, 6 (3) : 641-660. doi: 10.3934/jimo.2010.6.641 [8] Kazufumi Ito, Karim Ramdani, Marius Tucsnak. A time reversal based algorithm for solving initial data inverse problems. Discrete & Continuous Dynamical Systems - S, 2011, 4 (3) : 641-652. doi: 10.3934/dcdss.2011.4.641 [9] Baolan Yuan, Wanjun Zhang, Yubo Yuan. A Max-Min clustering method for $k$-means algorithm of data clustering. Journal of Industrial & Management Optimization, 2012, 8 (3) : 565-575. doi: 10.3934/jimo.2012.8.565 [10] Jinsong Xu. Reversible hidden data access algorithm in cloud computing environment. Discrete & Continuous Dynamical Systems - S, 2019, 12 (4&5) : 1219-1232. doi: 10.3934/dcdss.2019084 [11] Angsuman Das, Avishek Adhikari, Kouichi Sakurai. Plaintext checkable encryption with designated checker. Advances in Mathematics of Communications, 2015, 9 (1) : 37-53. doi: 10.3934/amc.2015.9.37 [12] Luis C. Corchón, Clara Eugenia García. Technology transfer: Barriers and opportunities. Journal of Dynamics & Games, 2018, 5 (4) : 343-355. doi: 10.3934/jdg.2018021 [13] Yunmei Chen, Xiaojing Ye, Feng Huang. A novel method and fast algorithm for MR image reconstruction with significantly under-sampled data. Inverse Problems & Imaging, 2010, 4 (2) : 223-240. doi: 10.3934/ipi.2010.4.223 [14] Melody Dodd, Jennifer L. Mueller. A real-time D-bar algorithm for 2-D electrical impedance tomography data. Inverse Problems & Imaging, 2014, 8 (4) : 1013-1031. doi: 10.3934/ipi.2014.8.1013 [15] Jian-Wu Xue, Xiao-Kun Xu, Feng Zhang. Big data dynamic compressive sensing system architecture and optimization algorithm for internet of things. Discrete & Continuous Dynamical Systems - S, 2015, 8 (6) : 1401-1414. doi: 10.3934/dcdss.2015.8.1401 [16] Heping Dong, Deyue Zhang, Yukun Guo. A reference ball based iterative algorithm for imaging acoustic obstacle from phaseless far-field data. Inverse Problems & Imaging, 2019, 13 (1) : 177-195. doi: 10.3934/ipi.2019010 [17] Shunfu Jin, Wuyi Yue, Chao Meng, Zsolt Saffer. A novel active DRX mechanism in LTE technology and its performance evaluation. Journal of Industrial & Management Optimization, 2015, 11 (3) : 849-866. doi: 10.3934/jimo.2015.11.849 [18] Jianxiong Zhang, Zhenyu Bai, Wansheng Tang. Optimal pricing policy for deteriorating items with preservation technology investment. Journal of Industrial & Management Optimization, 2014, 10 (4) : 1261-1277. doi: 10.3934/jimo.2014.10.1261 [19] Nikos I. Kavallaris, Andrew A. Lacey, Christos V. Nikolopoulos, Dimitrios E. Tzanetis. On the quenching behaviour of a semilinear wave equation modelling MEMS technology. Discrete & Continuous Dynamical Systems - A, 2015, 35 (3) : 1009-1037. doi: 10.3934/dcds.2015.35.1009 [20] Muhammad Waqas Iqbal, Biswajit Sarkar. Application of preservation technology for lifetime dependent products in an integrated production system. Journal of Industrial & Management Optimization, 2017, 13 (5) : 1-28. doi: 10.3934/jimo.2018144

2018 Impact Factor: 0.545