基于分布式账本技术的ids增量数据库

Junwei Liang, M. Ma
{"title":"基于分布式账本技术的ids增量数据库","authors":"Junwei Liang, M. Ma","doi":"10.1109/GLOBECOM42002.2020.9322308","DOIUrl":null,"url":null,"abstract":"Intrusion Detection Systems (IDS) is an important technology for cyber security, as it can mitigate both inner and outer threats in networks. However, a critical problem in IDSs is that the detection capacity is gradually decaying with the emergence of unknown attacks. To constantly retrain IDSs with a more extensive database is critical to make IDSs adaptive with the ever-changing network environment, but the security institutes usually lack the motivation to persistently update and maintain the database for public. Thus, in this paper, a blockchain-based database (bc-DB) is proposed, which is multilaterally maintained by the security institutes and universities using Data Coins (DCoins) as the incentives. In addition, a Lifetime Learning IDS (LL-IDS) is further designed as the supplement of the bc-DB for common IDS users. After being retrained by the latest bc-DB, the LL-IDS can detect the newly discovered attacks while uploading the suspect network packets to the database. Simulation experiments show that the proposed LL-IDS with the bc-DB are secure and effectiveness in attacks detection.","PeriodicalId":12759,"journal":{"name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","volume":"102 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Incremental Database Based on Distributed Ledger Technology for IDSs\",\"authors\":\"Junwei Liang, M. Ma\",\"doi\":\"10.1109/GLOBECOM42002.2020.9322308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Intrusion Detection Systems (IDS) is an important technology for cyber security, as it can mitigate both inner and outer threats in networks. However, a critical problem in IDSs is that the detection capacity is gradually decaying with the emergence of unknown attacks. To constantly retrain IDSs with a more extensive database is critical to make IDSs adaptive with the ever-changing network environment, but the security institutes usually lack the motivation to persistently update and maintain the database for public. Thus, in this paper, a blockchain-based database (bc-DB) is proposed, which is multilaterally maintained by the security institutes and universities using Data Coins (DCoins) as the incentives. In addition, a Lifetime Learning IDS (LL-IDS) is further designed as the supplement of the bc-DB for common IDS users. After being retrained by the latest bc-DB, the LL-IDS can detect the newly discovered attacks while uploading the suspect network packets to the database. Simulation experiments show that the proposed LL-IDS with the bc-DB are secure and effectiveness in attacks detection.\",\"PeriodicalId\":12759,\"journal\":{\"name\":\"GLOBECOM 2020 - 2020 IEEE Global Communications Conference\",\"volume\":\"102 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GLOBECOM 2020 - 2020 IEEE Global Communications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOBECOM42002.2020.9322308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOBECOM42002.2020.9322308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

入侵检测系统(IDS)是一项重要的网络安全技术,因为它可以缓解网络中的内部和外部威胁。然而,入侵防御系统的一个关键问题是,随着未知攻击的出现,检测能力逐渐衰减。为了使ids适应不断变化的网络环境,不断地用更广泛的数据库对ids进行再培训是至关重要的,但安全机构通常缺乏持续更新和维护公共数据库的动力。因此,本文提出了一个基于区块链的数据库(bc-DB),该数据库由安全机构和大学以数据币(DCoins)作为激励机制进行多边维护。此外,针对普通IDS用户,进一步设计了终身学习IDS (LL-IDS),作为bc-DB的补充。经过最新的bc-DB重新训练后,LL-IDS可以检测到新发现的攻击,同时将可疑的网络报文上传到数据库。仿真实验表明,基于bc-DB的LL-IDS具有安全、有效的攻击检测功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incremental Database Based on Distributed Ledger Technology for IDSs
Intrusion Detection Systems (IDS) is an important technology for cyber security, as it can mitigate both inner and outer threats in networks. However, a critical problem in IDSs is that the detection capacity is gradually decaying with the emergence of unknown attacks. To constantly retrain IDSs with a more extensive database is critical to make IDSs adaptive with the ever-changing network environment, but the security institutes usually lack the motivation to persistently update and maintain the database for public. Thus, in this paper, a blockchain-based database (bc-DB) is proposed, which is multilaterally maintained by the security institutes and universities using Data Coins (DCoins) as the incentives. In addition, a Lifetime Learning IDS (LL-IDS) is further designed as the supplement of the bc-DB for common IDS users. After being retrained by the latest bc-DB, the LL-IDS can detect the newly discovered attacks while uploading the suspect network packets to the database. Simulation experiments show that the proposed LL-IDS with the bc-DB are secure and effectiveness in attacks detection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信