Detection of Covert Timing Channels with Machine Learning Methods Using Different Window Sizes

被引：0
|
作者：
Karadogan, Ismail [1 ]
Karci, Ali [2 ]
机构：
[1] Kahramanmaras Istiklal Univ, Bilgisayar Teknolojileri Bolumu, Kahramanmaras, Turkey
[2] Inonu Univ, Bilgisayar Muhendisligi Bolumu, Malatya, Turkey
来源：
2019 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP 2019) | 2019年
关键词：
Covert channels; network steganography; information security; machine learning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, delays between data packets were read by using different window sizes to detect data transmitted from covert timing channel in computer networks, and feature vectors were extracted from them and detection of hidden data by some classification algorithms was achieved with high performance rate.
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收藏
页数：5
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