一个增强的僵尸网络检测技术的移动设备使用日志分析

Daifur Abubakar Girei, M. A. Shah, Muhammad Bilal Shahid
{"title":"一个增强的僵尸网络检测技术的移动设备使用日志分析","authors":"Daifur Abubakar Girei, M. A. Shah, Muhammad Bilal Shahid","doi":"10.1109/IConAC.2016.7604961","DOIUrl":null,"url":null,"abstract":"Botnets have fully integrated and adapted in mobile devices. Security of mobile devices are not designed to detect threats such as botnets. This allows botnets to infect devices and go unnoticed. In this paper we propose an enhanced botnet detection technique called “Logdog” for mobile devices using log analysis. Our approach relies on analyzing logs of mobile devices to find evidence of botnet activities. We implement the technique in android, taking advantage of the android logging system using logcat command. The effectiveness of this method is shown by experimenting on android devices.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"An enhanced botnet detection technique for mobile devices using log analysis\",\"authors\":\"Daifur Abubakar Girei, M. A. Shah, Muhammad Bilal Shahid\",\"doi\":\"10.1109/IConAC.2016.7604961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Botnets have fully integrated and adapted in mobile devices. Security of mobile devices are not designed to detect threats such as botnets. This allows botnets to infect devices and go unnoticed. In this paper we propose an enhanced botnet detection technique called “Logdog” for mobile devices using log analysis. Our approach relies on analyzing logs of mobile devices to find evidence of botnet activities. We implement the technique in android, taking advantage of the android logging system using logcat command. The effectiveness of this method is shown by experimenting on android devices.\",\"PeriodicalId\":375052,\"journal\":{\"name\":\"2016 22nd International Conference on Automation and Computing (ICAC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 22nd International Conference on Automation and Computing (ICAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IConAC.2016.7604961\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 22nd International Conference on Automation and Computing (ICAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IConAC.2016.7604961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

僵尸网络已经完全集成并适应了移动设备。移动设备的安全性并不是为了检测僵尸网络等威胁而设计的。这使得僵尸网络可以感染设备而不被发现。在本文中,我们提出了一种增强的僵尸网络检测技术,称为“Logdog”,用于移动设备使用日志分析。我们的方法依赖于分析移动设备的日志来找到僵尸网络活动的证据。我们利用android日志系统的logcat命令,在android上实现了该技术。在android设备上的实验证明了该方法的有效性。
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
An enhanced botnet detection technique for mobile devices using log analysis
Botnets have fully integrated and adapted in mobile devices. Security of mobile devices are not designed to detect threats such as botnets. This allows botnets to infect devices and go unnoticed. In this paper we propose an enhanced botnet detection technique called “Logdog” for mobile devices using log analysis. Our approach relies on analyzing logs of mobile devices to find evidence of botnet activities. We implement the technique in android, taking advantage of the android logging system using logcat command. The effectiveness of this method is shown by experimenting on android devices.
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
Comparative study of Partial Discharge emulators for the calibration of Free-Space radiometric measurements Knowledge representation of large medical data using XML An investigation of electrical motor parameters in a sensorless variable speed drive for machine fault diagnosis A novel fault-tolerant control strategy for Near Space Hypersonic Vehicles via Least Squares Support Vector Machine and Backstepping method Automatic text summarization using fuzzy inference
×
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