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Communication Dans Un Congrès Année : 2023

A Lightweight Intrusion Detection System against IoT Memory Corruption Attacks

Résumé

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 enddevices 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.
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Dates et versions

hal-04162998 , version 1 (17-07-2023)

Identifiants

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Mohamed El Bouazzati, Russell Tessier, Philippe Tanguy, Guy Gogniat. A Lightweight Intrusion Detection System against IoT Memory Corruption Attacks. 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS 2023), May 2023, Tallinn, Estonia. pp.118-123, ⟨10.1109/DDECS57882.2023.10139718⟩. ⟨hal-04162998⟩
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