LAVA:日志认证和验证算法

Edita Bajramovic, Christofer Fein, Marius Frinken, Paul Rösler, F. Freiling
{"title":"LAVA:日志认证和验证算法","authors":"Edita Bajramovic, Christofer Fein, Marius Frinken, Paul Rösler, F. Freiling","doi":"10.1145/3609233","DOIUrl":null,"url":null,"abstract":"Log files provide essential information regarding the actions of processes in critical computer systems. If an attacker modifies log entries, then critical digital evidence is lost. Therefore, many algorithms for secure logging have been devised, each achieving different security goals under different assumptions. We analyze these algorithms and identify their essential security features. Within a common system and attacker model, we integrate these algorithms into a single (parameterizable) “meta” algorithm called LAVA that possesses the union of the security features and can be parameterized to yield the security features of former algorithms. We present a security and efficiency analysis and provide a Python module that can be used to provide secure logging for forensics and incident response.","PeriodicalId":202552,"journal":{"name":"Digital Threats: Research and Practice","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"LAVA: Log Authentication and Verification Algorithm\",\"authors\":\"Edita Bajramovic, Christofer Fein, Marius Frinken, Paul Rösler, F. Freiling\",\"doi\":\"10.1145/3609233\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Log files provide essential information regarding the actions of processes in critical computer systems. If an attacker modifies log entries, then critical digital evidence is lost. Therefore, many algorithms for secure logging have been devised, each achieving different security goals under different assumptions. We analyze these algorithms and identify their essential security features. Within a common system and attacker model, we integrate these algorithms into a single (parameterizable) “meta” algorithm called LAVA that possesses the union of the security features and can be parameterized to yield the security features of former algorithms. We present a security and efficiency analysis and provide a Python module that can be used to provide secure logging for forensics and incident response.\",\"PeriodicalId\":202552,\"journal\":{\"name\":\"Digital Threats: Research and Practice\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Threats: Research and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3609233\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Threats: Research and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3609233","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

日志文件提供了关键计算机系统中进程运行的基本信息。如果攻击者修改了日志条目,那么关键的数字证据就会丢失。因此,人们设计了许多安全日志记录算法,每种算法在不同的假设下实现不同的安全目标。我们分析了这些算法,并确定了它们的基本安全特性。在一个通用的系统和攻击者模型中,我们将这些算法集成到一个称为LAVA的单一(可参数化的)“元”算法中,该算法具有安全特征的联合,并且可以参数化以产生以前算法的安全特征。我们提供了安全性和效率分析,并提供了一个Python模块,该模块可用于为取证和事件响应提供安全日志记录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
LAVA: Log Authentication and Verification Algorithm
Log files provide essential information regarding the actions of processes in critical computer systems. If an attacker modifies log entries, then critical digital evidence is lost. Therefore, many algorithms for secure logging have been devised, each achieving different security goals under different assumptions. We analyze these algorithms and identify their essential security features. Within a common system and attacker model, we integrate these algorithms into a single (parameterizable) “meta” algorithm called LAVA that possesses the union of the security features and can be parameterized to yield the security features of former algorithms. We present a security and efficiency analysis and provide a Python module that can be used to provide secure logging for forensics and incident response.
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
期刊最新文献
Causal Inconsistencies are Normal in Windows Memory Dumps (too) InvesTEE: A TEE-supported Framework for Lawful Remote Forensic Investigations Does Cyber Insurance promote Cyber Security Best Practice? An Analysis based on Insurance Application Forms Unveiling Cyber Threat Actors: A Hybrid Deep Learning Approach for Behavior-based Attribution A Framework for Enhancing Social Media Misinformation Detection with Topical-Tactics
×
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