Real-Time Packet-Based Intrusion Detection on Edge Devices
Real-Time Packet-Based Intrusion Detection on Edge Devices
复制标题
边缘设备上基于数据包的实时入侵检测
DOI：
10.1145/3576914.3587551
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Buttazzo, Giorgio
中科院分区：
文献类型：
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作者：
Borgioli, Niccolò;Thi Xuan Phan, Linh;Aromolo, Federico;Biondi, Alessandro;Buttazzo, Giorgio
近年来，针对网络物理系统的安全威胁在数量和复杂程度上都在不断增加。现代基于签名的入侵检测系统（ids）已经无法跟上最新的攻击技术。这就产生了对智能系统的需求，该系统不仅能够学习预期的网络流量，而且能够检测已知的攻击，还可以检测新的攻击。本文介绍了一种新的基于自编码器的入侵检测系统，能够高精度地检测出新的恶意数据包。所提出的技术是通用的，可用于检测各种攻击，包括看不见的攻击。在模拟和真实硬件上进行的大量实验表明，我们的技术在检测精度和通用性方面大大优于最先进的解决方案。通过对推理时间的分析，展示了该检测机制的可预测性，以及其在资源受限边缘设备中的实际适用性。
Recently, the number of security threats targeting cyber-physical systems has continued to increase, both in quantity and in sophistication. Modern signature-based Intrusion Detection Systems (IDSs) are no longer able to keep up to date with the most recent attack techniques. This gives rise to the need for an intelligent system that is able to learn the expected network traffic and to detect not only known but also novel attacks. This paper introduces a novel autoencoder-based IDS that can detect new malicious packets with high precision. The proposed technique is general and can be used to detect a wide range of attacks, including unseen ones. Extensive experiments in simulation and on real hardware show that our technique substantially outperforms state-of-the-art solutions in terms of detection accuracy and generality. An analysis of the inference times is presented to show the predictability of the detection mechanism, as well as its practical applicability in resource-constrained edge devices.
使用 BLSTM 进行基于流和基于数据包的入侵检测 使用 BLSTM 进行基于流和基于数据包的入侵检测
DOI：
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发表时间：
2021
期刊：
影响因子：
--
作者：
Brook Andreas;Jayaweera Dilruksha;Eric McCandless;Shaibal Chakrabarty;Omar Youssef
通讯作者：
Omar Youssef
基于忆阻器的自动编码器用于无监督实时网络入侵和异常检测
DOI：
10.1145/3354265.3354267
发表时间：
2019
期刊：
ICONS '19: Proceedings of the International Conference on Neuromorphic Systems
影响因子：
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作者：
Md. Shahanur Alam, B. Rasitha
通讯作者：
Md. Shahanur Alam, B. Rasitha
影响因子：
3.9
作者：
Ferrag, Mohamed Amine;Friha, Othmane;Janicke, Helge
通讯作者：
Janicke, Helge