Analysis of Financial Data Risk and Network Information Security by Blockchain Technology and Edge Computing

【Author】 Liu, Siting; Wang, Changlin; Zhou, Yong

【Source】IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

【影响因子】8.702

【Abstract】To solve the problem of computer network security, this study creatively establishes a new information security (IS) strategy recommendation system and a cooperative intrusion detection system (CIDS) based on blockchain (BC) and edge computing (EC) technologies. The innovation lies in the proposal of the real-time CIDS method. First, the related technologies and theories of the Bayesian network, deep learning (DL), and neural network (NN) are analyzed. Second, a real-time IS strategy recommendation system is constructed using NNs and expert systems, and CIDS is built on BC and DL networks. Finally, experiments compare recurrent NN and long-short term memory (LSTM). The research results reveal that the accuracy of LSTM can reach about 93%. The comparison between the single intrusion detection system (SIDS) and CIDS denotes that CIDS is better than SIDS in detection accuracy, and the specific performance is 97.54% > 91%. The proposed model based on business continuity management can help enterprises better protect financial data and establish a complete protection system of network information security (NIS). In this study, a CIDS with good performance is obtained, which lays a foundation for the further development of the NIS.

【Keywords】Blockchain technology (BT); deep learning (DL); edge computing (EC); intrusion detection system (IDS); network information security (NIS)

【发表时间】

【收录时间】2023-02-04

【文献类型】实验仿真

【主题类别】

区块链应用-实体经济-网安领域