Intelligent cluster construction of internet financial security protection system in banking industry

IF 1.1 Q3 COMPUTER SCIENCE, THEORY & METHODS Open Computer Science Pub Date : 2023-01-01 DOI:10.1515/comp-2022-0268
Yanzhao Wang
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Abstract

Abstract As the rapid advancement of information security company is developing quickly and the technology including big information, big computer, large cloud, and artificial intelligence are being widely used, network security has entered a new era. While ushering in huge development opportunities, it also faces severe tests. Network security is a major issue related to the comprehensive realization of a well-off society and national security, and has risen to the national strategic level. The current financial industry network security construction mainly focuses on team, process construction, and the research and development of individual tools and equipment. It lacks system research and implementation guidelines for defense technology construction based on industry IT characteristics. At the same time, there is also a lack of objective and unified measurement and evaluation standards for enterprise security defense capabilities, which restricts the improvement of cybersecurity capabilities in the financial industry to a certain extent. In terms of actual combat exercises, in various actual combat exercises over the years, the technical architecture of the bank’s network security defense has withstood the test of high-intensity confrontation. The defense process achieved zero deductions, and stood out among the participating defending teams through traceability and countermeasures, which effectively improved the network security large-scale group operations and security protection capabilities. The effectiveness of the technical architecture design is verified in actual combat, which shows that the control of the bank’s internet financial security protection system is effective. With digital computing, all banking transactions are fully automatically implemented and the bank’s clientele is systematically self-managed. It predicts that using this system, the speed can be increased by 98% and the accuracy can be increased by 12%.
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银行业互联网金融安全保护体系的智能集群构建
摘要随着信息安全公司的快速发展,包括大信息、大计算机、大云和人工智能在内的技术得到广泛应用,网络安全进入了一个新的时代。在迎来巨大发展机遇的同时,也面临严峻考验。网络安全是关系全面实现小康社会和国家安全的重大问题,已上升到国家战略高度。当前金融行业的网络安全建设主要集中在团队建设、流程建设、个人工具设备研发等方面。缺乏基于行业It特点的国防技术建设的系统研究和实施指南。同时,企业安全防御能力也缺乏客观统一的衡量和评估标准,这在一定程度上制约了金融业网络安全能力的提升。在实战演练方面,在历年的各项实战演练中,该行网络安全防御的技术架构经受住了高强度对抗的考验。防御过程实现了零扣减,并通过溯源和应对措施在参与防御团队中脱颖而出,有效提升了网络安全大规模群体作战和安全防护能力。该技术架构设计的有效性在实战中得到了验证,表明对银行互联网金融安全保护系统的控制是有效的。有了数字计算,所有银行交易都可以完全自动实现,银行客户也可以系统地自我管理。预测使用该系统,速度可提高98%,精度可提高12%。
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来源期刊
Open Computer Science
Open Computer Science COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
4.00
自引率
0.00%
发文量
24
审稿时长
25 weeks
期刊最新文献
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