Kuvonchbek Rakhimberdiev, Akram Ishnazarov, Piratdin Allayarov, Fayzulla Ollamberganov, R. Kamalov, M. Matyakubova
{"title":"在数字经济背景下,利用神经网络模型预防基于区块链技术的现代银行信息系统可能遭受的网络攻击的前景","authors":"Kuvonchbek Rakhimberdiev, Akram Ishnazarov, Piratdin Allayarov, Fayzulla Ollamberganov, R. Kamalov, M. Matyakubova","doi":"10.1145/3584202.3584291","DOIUrl":null,"url":null,"abstract":"This article presents methods for detecting possible crypto-attacks on banking and other financial information systems based on blockchain technology. In particular, the mathematical basis of artificial intelligence and neural networks was considered in the detection of network attacks on financial information systems. Also, the traditional models of the system for combating network attacks, the conceptual model of ensuring the effectiveness of countermeasures against cyber-attacks, the basic principles and mathematical models of the use of artificial intelligence and neural network models are presented. Based on the given models, empirical results are obtained and analyzed, and their effectiveness is presented in scientific conclusions.","PeriodicalId":438341,"journal":{"name":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","volume":"151 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"PROSPECTS FOR THE USE OF NEURAL NETWORK MODELS IN THE PREVENTION OF POSSIBLE NETWORK ATTACKS ON MODERN BANKING INFORMATION SYSTEMS BASED ON BLOCKCHAIN TECHNOLOGY IN THE CONTEXT OF THE DIGITAL ECONOMY\",\"authors\":\"Kuvonchbek Rakhimberdiev, Akram Ishnazarov, Piratdin Allayarov, Fayzulla Ollamberganov, R. Kamalov, M. Matyakubova\",\"doi\":\"10.1145/3584202.3584291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents methods for detecting possible crypto-attacks on banking and other financial information systems based on blockchain technology. In particular, the mathematical basis of artificial intelligence and neural networks was considered in the detection of network attacks on financial information systems. Also, the traditional models of the system for combating network attacks, the conceptual model of ensuring the effectiveness of countermeasures against cyber-attacks, the basic principles and mathematical models of the use of artificial intelligence and neural network models are presented. Based on the given models, empirical results are obtained and analyzed, and their effectiveness is presented in scientific conclusions.\",\"PeriodicalId\":438341,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Future Networks & Distributed Systems\",\"volume\":\"151 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Future Networks & Distributed Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3584202.3584291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Future Networks & Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584202.3584291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PROSPECTS FOR THE USE OF NEURAL NETWORK MODELS IN THE PREVENTION OF POSSIBLE NETWORK ATTACKS ON MODERN BANKING INFORMATION SYSTEMS BASED ON BLOCKCHAIN TECHNOLOGY IN THE CONTEXT OF THE DIGITAL ECONOMY
This article presents methods for detecting possible crypto-attacks on banking and other financial information systems based on blockchain technology. In particular, the mathematical basis of artificial intelligence and neural networks was considered in the detection of network attacks on financial information systems. Also, the traditional models of the system for combating network attacks, the conceptual model of ensuring the effectiveness of countermeasures against cyber-attacks, the basic principles and mathematical models of the use of artificial intelligence and neural network models are presented. Based on the given models, empirical results are obtained and analyzed, and their effectiveness is presented in scientific conclusions.