ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection-Reference-Cited by-同舟云学术

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ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection

Published:2024-06-09 Issue: Volume: Page:2731-2736
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Khan Irfan¹,Farrukh Yasir Ali²,Wali Syed²

Affiliation:

1. Texas A&M University,Department of Marine Engineering Technology in joint appointment with Electrical and Computer Engineering Department and Computer Science & Engineering Department,Galveston,TX,USA

2. Texas A&M University,Clean and Resilient Energy Systems (CARES) Lab,College Station,TX,USA

Funder

National Academies of Sciences, Engineering, and Medicine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622596.pdf?arnumber=10622596

Reference27 articles.

1. Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection

2. IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices

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