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- W2009803064 abstract "Host-based intrusion detection systems (HIDSs), especially anomaly-based, have received much attention over the past few decades. Over time, however, the existing data sets used for evaluation of a HIDS have lost most of their relevance due to the substantial development of computer systems. To fill this gap, ADFA Linux data set (ADFA-LD) is recently released, which is composed of thousands of system call traces collected from a contemporary Linux local server and expects to be a new benchmark for evaluating a HIDS. In this paper, we perform a preliminary analysis of ADFA-LD, in an attempt to extract useful information for developing new host-based anomaly detection systems (HADSs). In accordance with the general concerns arising from the community, some typical features are analysed particularly against ADFA-LD, such as length, common pattern and frequency. Furthermore, we implement a simple k nearest neighbour (kNN)-based HADS to be evaluated using ADFA-LD. The experimental results show that, although an acceptable performance can be acquired for a few types of attack, there is still a long way to fully understand the complex behaviour resulting from a modern computer system and, finally, realise more intelligent HADSs." @default.
- W2009803064 created "2016-06-24" @default.
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- W2009803064 date "2013-12-01" @default.
- W2009803064 modified "2023-10-16" @default.
- W2009803064 title "Evaluating host-based anomaly detection systems: A preliminary analysis of ADFA-LD" @default.
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- W2009803064 doi "https://doi.org/10.1109/cisp.2013.6743952" @default.
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