A Multi-connection Encryption Algorithm Applied in Secure Channel Service System

Authors

  • Fanhao Meng Beijing University of Posts and Telecommunications image/svg+xml
  • Rongheng Lin Beijing University of Posts and Telecommunications image/svg+xml
  • Zhuoran Wang Beijing University of Posts and Telecommunications image/svg+xml
  • Hua Zou Beijing University of Posts and Telecommunications image/svg+xml
  • Shiqi Zhou Beijing University of Posts and Telecommunications image/svg+xml

DOI:

https://doi.org/10.4108/eai.15-5-2018.155167

Keywords:

encryption, multi-connection transmission, sequence cipher

Abstract

Encryption is the most important method to enhance security of network transmitting. SDN (Software Defined Networking) Security Transmission Service can provide multi-connection transmitting service, which scatters data to multiple network connections for transmission so that data on different connections is isolated from each other. Based on the service, encrypting the isolated data prevents overall data from intercepted and deciphered. In the above scenario, we propose an encryption algorithm that uses the data themselves as encryption keys, and use the data isolation effect of multi-connection transmission to distribute the encrypted ciphertext to different network transmission paths, which is equivalent to using a rather random sequence as an encryption key for each data fragment without sharp increase in transmitting data, so that data transmitted on every connection are ensured to be safe. After compared with other encryption algorithms such as DES, AES and RSA, it is proved that in the multi-connection transmitting scenario this algorithm has better encryption effect and operating efficiency, which provides an effective guarantee for network security.

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Published

09-10-2018

How to Cite

Meng, F. ., Lin, R. ., Wang, Z. ., Zou, H. ., & Zhou, S. . (2018). A Multi-connection Encryption Algorithm Applied in Secure Channel Service System. EAI Endorsed Transactions on Security and Safety, 5(15), e1. https://doi.org/10.4108/eai.15-5-2018.155167

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