Toward a Big Data Architecture for Security Events Analytic

L. Fetjah, Karim Benzidane, Hassan El Alloussi, Othman El Warrak, Said Jai-Andaloussi, A. Sekkaki
{"title":"Toward a Big Data Architecture for Security Events Analytic","authors":"L. Fetjah, Karim Benzidane, Hassan El Alloussi, Othman El Warrak, Said Jai-Andaloussi, A. Sekkaki","doi":"10.1109/CSCloud.2016.53","DOIUrl":null,"url":null,"abstract":"Cloud Computing did come up with so many attractive advantages such as scalability, flexibility, accessibility, rapid application deployment, and user self service. However in hindsight, Cloud Computing makes ensuring security within these environments so much challenging. Therefore traditional security mechanisms such as firewalls and antivirus softwares have proven insufficient and incapable of dealing with the sheer amount of data and events generated within a Cloud infrastructure. Herein, we present a highly scalable module based system that relies upon Big Data techniques and tools providing a comprehensive solution to process and analyze relevant events (packets flow, logs files) in order to generate an informative decisions that will be handled accordingly and swiftly.","PeriodicalId":410477,"journal":{"name":"2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCloud.2016.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

Cloud Computing did come up with so many attractive advantages such as scalability, flexibility, accessibility, rapid application deployment, and user self service. However in hindsight, Cloud Computing makes ensuring security within these environments so much challenging. Therefore traditional security mechanisms such as firewalls and antivirus softwares have proven insufficient and incapable of dealing with the sheer amount of data and events generated within a Cloud infrastructure. Herein, we present a highly scalable module based system that relies upon Big Data techniques and tools providing a comprehensive solution to process and analyze relevant events (packets flow, logs files) in order to generate an informative decisions that will be handled accordingly and swiftly.
面向安全事件分析的大数据架构
云计算确实带来了许多吸引人的优势,如可伸缩性、灵活性、可访问性、快速应用程序部署和用户自助服务。然而,事后看来,云计算使确保这些环境中的安全性变得非常具有挑战性。因此,传统的安全机制(如防火墙和防病毒软件)已被证明不足以处理云基础设施中生成的大量数据和事件。在此,我们提出了一个高度可扩展的基于模块的系统,该系统依赖于大数据技术和工具,提供了一个全面的解决方案来处理和分析相关事件(数据包流,日志文件),以便生成一个信息丰富的决策,并将相应地迅速处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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