HID-SMART: Hybrid Intrusion Detection Model for Smart Home

被引:0
|
作者
Alghayadh, Faisal [1 ]
Debnath, Debatosh [1 ]
机构
[1] Oakland Univ, Dept Comp Sci & Engn, Rochester, MI 48309 USA
关键词
anomaly detection; smart home systems; behavioral patterns; security; challenges; threats; ANOMALY DETECTION;
D O I
10.1109/ccwc47524.2020.9031177
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Smart homes become part of people's daily life. Many people happily attempt to monitor and control their smart homes by using a smartphone, tablet, or computer because smart home systems make residential living areas more comfortable and convenient. Many devices in home are now being connected to the Internet; these devices can easily become a target of attack and can cause serious problems that could affect a user's life. Some of these attacks are difficult to detect because attackers can be intelligent or they use the same protocols that are employed by users to do legitimate requests. An intrusion detection system (IDS) is designed to detect, and mitigate attacks on the network. However, various constraints on the smart home sensors and device manufacturers are not able to ensure the security and privacy of the wireless sensor networks by using one tier standard intrusion detection. Therefore, we propose a Hybrid Intrusion Detection (HID) system using a random forest algorithm and misuse detection.
引用
收藏
页码:384 / 389
页数:6
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