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AI-Powered Security for IoT Ecosystems: A Hybrid Deep Learning Approach to Anomaly Detection

The rapid expansion of the Internet of Things (IoT) has introduced new vulnerabilities that traditional security mechanisms often fail to address effectively. Signature-based intrusion detection systems cannot adapt to zero-day attacks, while rule-based solutions lack scalability for the diverse and...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Deepak Kumar, Priyanka Pramod Pawar, Santosh Reddy Addula, Mohan Kumar Meesala, Oludotun Oni, Qasim Naveed Cheema, Anwar Ul Haq, Guna Sekhar Sajja
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-10-01
Schriftenreihe:Journal of Cybersecurity and Privacy
Schlagworte:
I moth flame optimization
Internet of Things
convolutional network
bidirectional gated recurrent unit
anomaly detection
cyberattacks
Online-Zugang:https://www.mdpi.com/2624-800X/5/4/90
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