ENHANCING NETWORK SECURITY IN SDN ENVIRONMENTS: DEVELOPING A DEEP LEARNING-BASED INTRUSION DETECTION SYSTEM FOR EFFECTIVE ANOMALY DETECTION Article Swipe

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Shumaila Riffat,Dr. Nasrullah ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.5281/zenodo.17878011

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Intrusion detection system Computer science Anomaly detection Network security Anomaly-based intrusion detection system Computer network Computer security Intrusion prevention system Key (lock) Feature (linguistics) Information security Denial-of-service attack Data security

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Type: article
Landing Page: https://doi.org/10.5281/zenodo.17878011
OA Status: green
OpenAlex ID: https://openalex.org/W7114781478

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OpenAlex ID: https://openalex.org/W7114781478

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DOI: https://doi.org/10.5281/zenodo.17878011

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Title: ENHANCING NETWORK SECURITY IN SDN ENVIRONMENTS: DEVELOPING A DEEP LEARNING-BASED INTRUSION DETECTION SYSTEM FOR EFFECTIVE ANOMALY DETECTION

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Type: article

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Publication year: 2025

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Publication date: 2025-12-10

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Authors: Shumaila Riffat,Dr. Nasrullah

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Landing page: https://doi.org/10.5281/zenodo.17878011

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Open access: Yes

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OA status: green

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OA URL: https://doi.org/10.5281/zenodo.17878011

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Concepts: Intrusion detection system, Computer science, Anomaly detection, Network security, Anomaly-based intrusion detection system, Computer network, Computer security, Intrusion prevention system, Key (lock), Feature (linguistics), Information security, Denial-of-service attack, Data security

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