Can Machine Learning Enhance Intrusion Detection to Safeguard Smart City Networks from Multi-Step Cyberattacks?

Can Machine Learning Enhance Intrusion Detection to Safeguard Smart City Networks from Multi-Step Cyberattacks?

Intrusion detection systems are essential for detecting network cyberattacks. As the sophistication of cyberattacks increases, it is critical that defense technologies adapt to counter them. Multi-step attacks, which need several correlated intrusion operations to reach the desired target, are a ris...

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Bibliographic Details
Main Authors: Jowaria Khan, Rana Elfakharany, Hiba Saleem, Mahira Pathan, Emaan Shahzad, Salam Dhou, Fadi Aloul
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Smart Cities
Subjects:
cybersecurity
cyberattack
intrusion detection
machine learning
deep learning
Online Access:https://www.mdpi.com/2624-6511/8/1/13
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