走向实时的全网网络态势感知

Tomás Jirsík, Pavel Čeleda
{"title":"走向实时的全网网络态势感知","authors":"Tomás Jirsík, Pavel Čeleda","doi":"10.1109/NOMS.2018.8406166","DOIUrl":null,"url":null,"abstract":"In today's complex computer networks, we are constantly facing a risk of data loss, system compromise, or intellectual property theft. The complexity of the networks hinders their effective defense. A Network-wide Cyber Situational Awareness (NwCSA) has been introduced to assist a network security administrator with network security. The concept, how-ever, faces several challenges that hinder an efficient application of the NwCSA in a real-world environment. The challenges include the overload of raw data, low speed of reaction, and a lack of context and unified view on a network. In this paper, we present a novel framework that faces above mentioned challenges. The framework leverages a distributed data stream processing system and methods for real-time big data processing. The framework is evaluated with respect to stated requirements on systems for NwCSA. Moreover, we present a prototype framework implementation and provide lessons learned from its real-world deployment.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Toward real-time network-wide cyber situational awareness\",\"authors\":\"Tomás Jirsík, Pavel Čeleda\",\"doi\":\"10.1109/NOMS.2018.8406166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In today's complex computer networks, we are constantly facing a risk of data loss, system compromise, or intellectual property theft. The complexity of the networks hinders their effective defense. A Network-wide Cyber Situational Awareness (NwCSA) has been introduced to assist a network security administrator with network security. The concept, how-ever, faces several challenges that hinder an efficient application of the NwCSA in a real-world environment. The challenges include the overload of raw data, low speed of reaction, and a lack of context and unified view on a network. In this paper, we present a novel framework that faces above mentioned challenges. The framework leverages a distributed data stream processing system and methods for real-time big data processing. The framework is evaluated with respect to stated requirements on systems for NwCSA. Moreover, we present a prototype framework implementation and provide lessons learned from its real-world deployment.\",\"PeriodicalId\":19331,\"journal\":{\"name\":\"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NOMS.2018.8406166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NOMS.2018.8406166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

在当今复杂的计算机网络中,我们不断面临着数据丢失、系统泄露或知识产权被盗的风险。网络的复杂性阻碍了它们的有效防御。一种网络范围的网络态势感知(NwCSA)已经被引入,以协助网络安全管理员进行网络安全。然而,这一概念面临着一些挑战,阻碍了NwCSA在现实环境中的有效应用。面临的挑战包括原始数据过载、反应速度慢、缺乏上下文和网络上的统一视图。在本文中,我们提出了一个面对上述挑战的新框架。该框架利用分布式数据流处理系统和方法进行实时大数据处理。该框架是根据NwCSA系统的规定要求进行评估的。此外,我们还提供了一个原型框架实现,并提供了从其实际部署中吸取的经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward real-time network-wide cyber situational awareness
In today's complex computer networks, we are constantly facing a risk of data loss, system compromise, or intellectual property theft. The complexity of the networks hinders their effective defense. A Network-wide Cyber Situational Awareness (NwCSA) has been introduced to assist a network security administrator with network security. The concept, how-ever, faces several challenges that hinder an efficient application of the NwCSA in a real-world environment. The challenges include the overload of raw data, low speed of reaction, and a lack of context and unified view on a network. In this paper, we present a novel framework that faces above mentioned challenges. The framework leverages a distributed data stream processing system and methods for real-time big data processing. The framework is evaluated with respect to stated requirements on systems for NwCSA. Moreover, we present a prototype framework implementation and provide lessons learned from its real-world deployment.
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