Community based platform for vulnerability categorization

Jana Komárková, Lukás Sadlek, Martin Laštovička
{"title":"Community based platform for vulnerability categorization","authors":"Jana Komárková, Lukás Sadlek, Martin Laštovička","doi":"10.1109/noms.2018.8406125","DOIUrl":null,"url":null,"abstract":"Many approaches, such as attack graphs, require knowledge of vulnerability's properties such as impact, prereq- uisities, and exploitability. Currently, those properties are either categorized manually or too roughly. We present a program for granular, automated categorization of vulnerability. Further, we present a platform supporting researchers by gathering and sharing raw data about vulnerabilities and community labeled datasets. The source code of our categorization program is available on GitHub.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":"36 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","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.2018.8406125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Many approaches, such as attack graphs, require knowledge of vulnerability's properties such as impact, prereq- uisities, and exploitability. Currently, those properties are either categorized manually or too roughly. We present a program for granular, automated categorization of vulnerability. Further, we present a platform supporting researchers by gathering and sharing raw data about vulnerabilities and community labeled datasets. The source code of our categorization program is available on GitHub.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于社区的漏洞分类平台
许多方法,如攻击图,需要了解漏洞的属性,如影响、先决条件和可利用性。目前,这些属性要么是手动分类,要么过于粗略。我们提出了一个对漏洞进行细粒度、自动分类的程序。此外,我们还提供了一个平台,通过收集和共享有关漏洞和社区标记数据集的原始数据来支持研究人员。我们的分类程序的源代码可以在GitHub上找到。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
SSH Kernel: A Jupyter Extension Specifically for Remote Infrastructure Administration Visual emulation for Ethereum's virtual machine Analyzing throughput and stability in cellular networks Network events in a large commercial network: What can we learn? Economic incentives on DNSSEC deployment: Time to move from quantity to quality
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1