Towards a Real Time Framework for Monitoring IoT Devices for Attack Detection Vision paper

被引：1

作者：

Bonilla, Rafael, I ^{[1
]}

Abad, Cristina L. ^{[1
]}

机构：

[1] Escuela Super Politecn Litoral, ESPOL, Campus Gustavo Galindo Km 30-5 Via Perimetral, Guayaquil, Ecuador

来源：

2017 IEEE 15TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 15TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 3RD INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS(DASC/PICOM/DATACOM/CYBERSCI | 2017年

关键词：

IoT; anomaly detection; attack detection; IDS; stream processing; distributed processing; cloud architecture;

D O I：

10.1109/DASC-PICom-DataCom-CyberSciTec.2017.122

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As the Internet of Things (IoT) grows, the attacks to these devices continue to increase, both in number and impact. We identify the requirements for a real-time data processing framework that can be used to detect attacks while they occur, and propose an architecture that would implement these requirements. The proposed framework can be used by vendors, third-party organizations, and end-users to provide on-line monitoring and real-time attack mitigation. Finally, we identify the research challenges that we will face when implementing this architecture.

引用

页码：699 / 703

页数：5

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