2022
DOI: 10.1109/access.2021.3139835
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Intrusion Detection Using Payload Embeddings

Abstract: Attacks launched over the Internet often degrade or disrupt the quality of online services. Various Intrusion Detection Systems (IDSs), with or without prevention capabilities, have been proposed to defend networks or hosts against such attacks. While most of these IDSs extract features from the packet headers to detect any irregularities in the network traffic, some others use payloads alongside the headers. In this study, we propose a payload-based intrusion detection scheme, PayloadEmbeddings, using byte em… Show more

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Cited by 28 publications
(21 citation statements)
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“…Intrusion detection using NLP techniques on payload features has been explored in prior research, including studies by Hassan et al (2021) and Vinayakumar et al (2019). In our study, we extend the work of Hassan et al in the intrusion detection domain, specifically leveraging payload features and NLP techniques.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Intrusion detection using NLP techniques on payload features has been explored in prior research, including studies by Hassan et al (2021) and Vinayakumar et al (2019). In our study, we extend the work of Hassan et al in the intrusion detection domain, specifically leveraging payload features and NLP techniques.…”
Section: Resultsmentioning
confidence: 99%
“…Furthermore, it contributes to refining Snort rules and strengthening signature-based NIDS. Hassan et al (2021) proposed payload embeddings, a method that harnesses byte embeddings and a shallow neural network. Across various datasets, this approach consistently achieved accuracy rates ranging from 75% to 99%, outperforming traditional intrusion detection techniques.…”
Section: Salo Et Al Introduce a Hybrid Dimensionality Reduction Techn...mentioning
confidence: 99%
“…However, most network intrusion detection datasets only contain header information of network packets. Several datasets comprising real network traffic either do not have payload data or it has been removed due to privacy concerns [5]. The unavailability of labeled packet data is a significant issue in the packet-based NIDS.…”
Section: A Network Intrusion Detection Datasetsmentioning
confidence: 99%
“…Network Intrusion Detection System (NIDS) is often considered a feasible option to protect against network-based attacks [5], as it identifies attack behavior by analyzing the network traffic of vital nodes in a network. NIDS utilizes various approaches for the detection of malicious attack instances.…”
Section: Introductionmentioning
confidence: 99%
“…With the rapid development of network and information technology, network security is directly related to national security and social stability [1] . Based on the urgent need of network security and the disadvantages of existing intrusion detection systems, the development and innovation of intrusion detection technology is imperative [2][3] .…”
Section: Introductionmentioning
confidence: 99%