IDS-Anta: An open-source code with a defense mechanism to detect adversarial attacks for intrusion detection system Article Swipe

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YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1016/j.simpa.2024.100664

An intrusion detection system (IDS) is critical in protecting organizations from cyber threats. The susceptibility of Machine Learning and Deep Learning-based IDSs against adversarial attacks arises from malicious actors' deliberate construction of adversarial samples. This study proposes a Python-based open-source code repository named IDS-Anta with a robust defence mechanism to identify adversarial attacks without compromising IDS performance. It uses Multi-Armed Bandits with Thomson Sampling, Ant Colony Optimization (ACO), and adversarial attack generation methods and is validated using three public benchmark datasets. This code repository can be readily applied and replicated on IDS datasets against adversarial attacks.

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Computer Science

Benchmark (Surveying)

Computer Security

Artificial Intelligence

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Adversarial system Computer science Python (programming language) Open source Source code Intrusion detection system Code (set theory) Benchmark (surveying) Computer security Artificial intelligence Machine learning Operating system Programming language Software Set (abstract data type) Geography Geodesy

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.simpa.2024.100664
OA Status: gold
Cited By: 9
References: 31
Related Works: 10
OpenAlex ID: https://openalex.org/W4397023789

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DOI: https://doi.org/10.1016/j.simpa.2024.100664

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Title: IDS-Anta: An open-source code with a defense mechanism to detect adversarial attacks for intrusion detection system

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-05-17

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Authors: Kousik Barik, Sanjay Misra

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Landing page: https://doi.org/10.1016/j.simpa.2024.100664

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Concepts: Adversarial system, Computer science, Python (programming language), Open source, Source code, Intrusion detection system, Code (set theory), Benchmark (surveying), Computer security, Artificial intelligence, Machine learning, Operating system, Programming language, Software, Set (abstract data type), Geography, Geodesy

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Cited by: 9

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Citations by year (recent): 2025: 6, 2024: 3

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