Active Intrusion Detection with Periodical Probing for IoT Devices

被引：0

作者：

Yamamoto, Ryo ^{[1
]}

Ohtani, Takahiro ^{[1
]}

Ohzahata, Satoshi ^{[1
]}

机构：

[1] Univ Electrocommun, Tokyo, Japan

来源：

2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC | 2023年

关键词：

IoT; Security; Active probing; Machine learning;

D O I：

10.1109/CCNC51644.2023.10059684

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, the threat of attacks against IoT (Internet of Things) devices has become more apparent with the rapid growth of IoT technologies. Although an intrusion detection system (IDS) mitigates the risk of such attacks, the installation requires software rewriting or hardware replacement and causes cost increase of IoT devices or IoT gateways. In this paper, we propose an intrusion detection method that actively obtains feature values from IoT devices focusing on detecting an indication of intrusions with an essential cost.

引用

页数：2

共 4 条

[1] Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices [J].