Malicious and Harmless Software in the Domain of System Utilities

Jana St'astná
{"title":"Malicious and Harmless Software in the Domain of System Utilities","authors":"Jana St'astná","doi":"10.15439/2019F244","DOIUrl":null,"url":null,"abstract":"The focus of malware research is often directed on behaviour and features of malicious samples that stand out the most. However, our previous research led us to see that some features typical for malware may occur in harmless software as well. That finding guided us to direct more attention towards harmless samples and more detailed comparisons of malware and harmless software properties. To eliminate variables that may influence the results, we narrowed down our research study to specific software domain - system maintenance and utility tools. We analysed 100 malicious and 100 harmless samples from this domain and statistically evaluated how they differ regarding packing, program sections and their entropies, amount of code outside common sections and we also looked at differences in behaviour from the high-level view.","PeriodicalId":168208,"journal":{"name":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Federated Conference on Computer Science and Information Systems (FedCSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15439/2019F244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The focus of malware research is often directed on behaviour and features of malicious samples that stand out the most. However, our previous research led us to see that some features typical for malware may occur in harmless software as well. That finding guided us to direct more attention towards harmless samples and more detailed comparisons of malware and harmless software properties. To eliminate variables that may influence the results, we narrowed down our research study to specific software domain - system maintenance and utility tools. We analysed 100 malicious and 100 harmless samples from this domain and statistically evaluated how they differ regarding packing, program sections and their entropies, amount of code outside common sections and we also looked at differences in behaviour from the high-level view.
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
系统实用程序领域中的恶意和无害软件
恶意软件研究的重点通常是针对最突出的恶意样本的行为和特征。然而,我们之前的研究让我们看到,恶意软件的一些典型特征也可能出现在无害软件中。这一发现引导我们将更多的注意力放在无害的样本上,并对恶意软件和无害软件属性进行更详细的比较。为了消除可能影响结果的变量,我们将研究范围缩小到特定的软件领域-系统维护和实用工具。我们分析了来自该领域的100个恶意和100个无害样本,并统计评估了它们在包装、程序部分及其熵、公共部分之外的代码数量方面的差异,我们还从高级视图查看了行为的差异。
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
Efficient Support Vector Regression with Reduced Training Data A Deep Learning and Multimodal Ambient Sensing Framework for Human Activity Recognition Predicting Blood Glucose using an LSTM Neural Network License Plate Detection with Machine Learning Without Using Number Recognition Tool-assisted Surrogate Selection for Simulation Models in Energy Systems
×
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:604180095
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