A trend analysis of exploitations

Hilary K. Browne, W. Arbaugh, J. McHugh, William L. Fithen
{"title":"A trend analysis of exploitations","authors":"Hilary K. Browne, W. Arbaugh, J. McHugh, William L. Fithen","doi":"10.1109/SECPRI.2001.924300","DOIUrl":null,"url":null,"abstract":"We have conducted an empirical study of a number of computer security exploits and determined that the rates at which incidents involving the exploit are reported to CERT can be modeled using a common mathematical framework. Data associated with three significant exploits involving vulnerabilities in phf, imap, and bind can all be modeled using the formula C=I+S/spl times//spl radic/M where C is the cumulative count of reported incidents, M is the time since the start of the exploit cycle, and I and S are the regression coefficients determined by analysis of the incident report data. Further analysis of two additional exploits involving vulnerabilities in mountd and statd confirm the model. We believe that the models will aid in predicting the severity of subsequent vulnerability exploitations, based on the rate of early incident reports.","PeriodicalId":20502,"journal":{"name":"Proceedings 2001 IEEE Symposium on Security and Privacy. S&P 2001","volume":"13 1","pages":"214-229"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"121","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2001 IEEE Symposium on Security and Privacy. S&P 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECPRI.2001.924300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 121

Abstract

We have conducted an empirical study of a number of computer security exploits and determined that the rates at which incidents involving the exploit are reported to CERT can be modeled using a common mathematical framework. Data associated with three significant exploits involving vulnerabilities in phf, imap, and bind can all be modeled using the formula C=I+S/spl times//spl radic/M where C is the cumulative count of reported incidents, M is the time since the start of the exploit cycle, and I and S are the regression coefficients determined by analysis of the incident report data. Further analysis of two additional exploits involving vulnerabilities in mountd and statd confirm the model. We believe that the models will aid in predicting the severity of subsequent vulnerability exploitations, based on the rate of early incident reports.
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
开发趋势分析
我们对许多计算机安全漏洞进行了实证研究,并确定可以使用通用数学框架对报告给CERT的涉及漏洞的事件进行建模。与涉及phf、imap和bind漏洞的三个重大漏洞相关的数据都可以使用公式C=I+S/spl times//spl radim建模,其中C是报告事件的累积计数,M是攻击周期开始以来的时间,I和S是通过分析事件报告数据确定的回归系数。对另外两个涉及mountd和statd漏洞的攻击的进一步分析证实了该模型。我们相信,基于早期事件报告的比率,这些模型将有助于预测后续漏洞利用的严重程度。
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
Performance of public-key-enabled Kerberos authentication in large networks Evaluation of intrusion detectors: a decision theory approach Intrusion detection via static analysis A trend analysis of exploitations Protection of keys against modification attack
×
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