A Lightweight Intrusion Detection System against IoT Memory Corruption Attacks

Mohamed El Bouazzati, R. Tessier, P. Tanguy, G. Gogniat
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Abstract

Attacks against internet-of-things (IoT) end-devices represent a significant threat since their wireless communication capabilities provide a potential attack entry point. To address this threat, we demonstrate the use of hardware performance counters (HPCs) in a host-based intrusion detection system (HIDS). The counter-based monitors are customized to support IoT end-devices which use low data rate GHz and sub-GHz protocols. Our solution implements a hardware unit that performs data tracing for a 32-bit RISC-V based wireless connectivity unit. The unit can detect ongoing remote attacks in real time. We demonstrate the effectiveness of our system by detecting a packet injection exploit. Our FPGA implementation of HIDS has a logic overhead of about 6% and design frequency penalty of less than 1% for a RISC-V processor.
针对物联网内存损坏攻击的轻量级入侵检测系统
针对物联网(IoT)终端设备的攻击是一个重大威胁,因为它们的无线通信功能提供了潜在的攻击入口。为了解决这一威胁,我们演示了在基于主机的入侵检测系统(HIDS)中使用硬件性能计数器(hpc)。基于计数器的监视器是定制的,以支持使用低数据速率GHz和sub-GHz协议的物联网终端设备。我们的解决方案实现了一个硬件单元,为基于32位RISC-V的无线连接单元执行数据跟踪。该单元可以实时检测正在进行的远程攻击。我们通过检测数据包注入漏洞来证明我们系统的有效性。对于RISC-V处理器,我们的HIDS FPGA实现的逻辑开销约为6%,设计频率损失小于1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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