Communication security of intelligent information service platform combining AES and ECC algorithms

ABSTRACT

The rapid progress of information technology has made the status of information service platforms increasingly prominent in social operations. However, their communication security is also facing unprecedented challenges. In response to the issues of insufficient security and efficiency in traditional encryption algorithms, this study combines advanced encryption standard algorithms with elliptic curve cryptography algorithms to generate encryption key pairs through elliptic curve cryptography algorithms. It utilizes advanced encryption standard algorithms to generate symmetric keys, and then encrypts the keys of the advanced encryption standard using the public key of the elliptic curve cryptography algorithm. Based on this, it implements advanced encryption standard encryption on data and designs a hybrid encryption algorithm. The results showed that the throughput of this method was 4000bit/s, with a delay of 550 m, which is higher than other algorithms, proving its high efficiency in processing data. The average bit change of the ciphertext in the hybrid encryption algorithm was 55.8 bits, with a range of bit changes of [69.3, 82.7], which is significantly higher than other algorithms, proving its high security. The designed algorithm has significant benefits in communication security of information service platforms and plays an important role in promoting the development of future network security defense technology.

KEYWORDS:

• Information service platform
• communication security
• advanced encryption standard algorithm
• elliptic curve cryptography algorithm
• hybrid encryption algorithm

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The research is supported by This article is (Xiangjiaotong [2023] No. 361), a scientific research project of the Hunan Provincial Department of Education in 2023: Research on the Construction and Optimization Path of Intelligent System for Smart Sports Stadium. (Project number: 23C0484).