{"title":"利用人工智能、区块链和智能合约实现网络安全合规性和威胁响应自动化","authors":"Lampis Alevizos, Vinh Thong Ta","doi":"arxiv-2409.08390","DOIUrl":null,"url":null,"abstract":"To address the challenges of internal security policy compliance and dynamic\nthreat response in organizations, we present a novel framework that integrates\nartificial intelligence (AI), blockchain, and smart contracts. We propose a\nsystem that automates the enforcement of security policies, reducing manual\neffort and potential human error. Utilizing AI, we can analyse cyber threat\nintelligence rapidly, identify non-compliances and automatically adjust cyber\ndefence mechanisms. Blockchain technology provides an immutable ledger for\ntransparent logging of compliance actions, while smart contracts ensure uniform\napplication of security measures. The framework's effectiveness is demonstrated\nthrough simulations, showing improvements in compliance enforcement rates and\nresponse times compared to traditional methods. Ultimately, our approach\nprovides for a scalable solution for managing complex security policies,\nreducing costs and enhancing the efficiency while achieving compliance.\nFinally, we discuss practical implications and propose future research\ndirections to further refine the system and address implementation challenges.","PeriodicalId":501332,"journal":{"name":"arXiv - CS - Cryptography and Security","volume":"94 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automated Cybersecurity Compliance and Threat Response Using AI, Blockchain & Smart Contracts\",\"authors\":\"Lampis Alevizos, Vinh Thong Ta\",\"doi\":\"arxiv-2409.08390\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To address the challenges of internal security policy compliance and dynamic\\nthreat response in organizations, we present a novel framework that integrates\\nartificial intelligence (AI), blockchain, and smart contracts. We propose a\\nsystem that automates the enforcement of security policies, reducing manual\\neffort and potential human error. Utilizing AI, we can analyse cyber threat\\nintelligence rapidly, identify non-compliances and automatically adjust cyber\\ndefence mechanisms. Blockchain technology provides an immutable ledger for\\ntransparent logging of compliance actions, while smart contracts ensure uniform\\napplication of security measures. The framework's effectiveness is demonstrated\\nthrough simulations, showing improvements in compliance enforcement rates and\\nresponse times compared to traditional methods. Ultimately, our approach\\nprovides for a scalable solution for managing complex security policies,\\nreducing costs and enhancing the efficiency while achieving compliance.\\nFinally, we discuss practical implications and propose future research\\ndirections to further refine the system and address implementation challenges.\",\"PeriodicalId\":501332,\"journal\":{\"name\":\"arXiv - CS - Cryptography and Security\",\"volume\":\"94 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Cryptography and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.08390\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Cryptography and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated Cybersecurity Compliance and Threat Response Using AI, Blockchain & Smart Contracts
To address the challenges of internal security policy compliance and dynamic
threat response in organizations, we present a novel framework that integrates
artificial intelligence (AI), blockchain, and smart contracts. We propose a
system that automates the enforcement of security policies, reducing manual
effort and potential human error. Utilizing AI, we can analyse cyber threat
intelligence rapidly, identify non-compliances and automatically adjust cyber
defence mechanisms. Blockchain technology provides an immutable ledger for
transparent logging of compliance actions, while smart contracts ensure uniform
application of security measures. The framework's effectiveness is demonstrated
through simulations, showing improvements in compliance enforcement rates and
response times compared to traditional methods. Ultimately, our approach
provides for a scalable solution for managing complex security policies,
reducing costs and enhancing the efficiency while achieving compliance.
Finally, we discuss practical implications and propose future research
directions to further refine the system and address implementation challenges.