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Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection

Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection

Kahraman Kostas
Mike Just
M. Lones
ArXiv (abs)PDFHTML

Papers citing "Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection"

4 / 4 papers shown
Title
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection
Kahraman Kostas
Mike Just
M. Lones
44
6
0
17 Oct 2023
Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset
Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset
Nickolaos Koroniotis
Nour Moustafa
E. Sitnikova
B. Turnbull
59
1,227
0
02 Nov 2018
How Complex is your classification problem? A survey on measuring classification complexity
How Complex is your classification problem? A survey on measuring classification complexity
A. C. Lorena
L. P. F. Garcia
Jens Lehmann
M. D. Souto
T. Ho
49
233
0
10 Aug 2018
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Yisroel Mirsky
Tomer Doitshman
Yuval Elovici
A. Shabtai
81
814
0
25 Feb 2018

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