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A review on digital twin technology in smart grid, transportation system and smart city: Challenges and future
With recent advances in information and communication technology (ICT), the bleeding
edge concept of digital twin (DT) has enticed the attention of many researchers to …
edge concept of digital twin (DT) has enticed the attention of many researchers to …
[HTML][HTML] Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models
Despite providing unparalleled connectivity and convenience, the exponential growth of the
Internet of Things (IoT) ecosystem has triggered significant cybersecurity concerns. These …
Internet of Things (IoT) ecosystem has triggered significant cybersecurity concerns. These …
Adversarial machine learning for network intrusion detection systems: A comprehensive survey
Network-based Intrusion Detection System (NIDS) forms the frontline defence against
network attacks that compromise the security of the data, systems, and networks. In recent …
network attacks that compromise the security of the data, systems, and networks. In recent …
Internet of things (IoT) security dataset evolution: Challenges and future directions
Zero-day attack detection: a systematic literature review
With the continuous increase in cyberattacks over the past few decades, the quest to
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …