期刊
JOURNAL OF SYSTEMS ARCHITECTURE
卷 109, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.sysarc.2020.101827
关键词
Internet of things security (IoT); Isolation and protection; Cloud-based learning; Network traffic classification; Field programmable gate arrays (FPGA)
This work proposes a novel approach to provide comprehensive security to IoT devices. Our approach is based on a reconfigurable hardware-based isolation and protection mechanism (IPM) that operates as a dynamic separation unit between devices and network, far from potential software manipulation. The IPM analyses communications for malicious activities and prevents damage to the IoT device. The IPM leverages a central cloud-based authority to broaden the scope of traffic analysis beyond that of a singular IoT device. The central server evaluates logs from all IPM-protected IoT devices to improve their defense mechanisms and periodically upgrade device IPMs through a remote secure provisioning mechanism. The IPM achieves a 98.68% detection rate when evaluated against a Neptune DoS attack.
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