… with different layers and the associated security issues in each layer in Section 3. We
present various machine and deep learning-based security solutions in the IoT environment in …

… and the current solution approach in terms of Security and Interoperability are explained. …
security and threat in IoT applications. The different solution approach using machine learning, …

… of MLbased security solutions. This paper explores these challenges and proposes
solutions to fortify the integration of machine learning within the context of network security [4]. …

… In Section 2, we review relevant related work on threat intelligence. The design and
implementation of our solution to use and improve machine learning models for DDoS detection as …

… great promise for improving the effectiveness of security systems and enhancing our ability
to … solutions that rely on machine learning, deep learning, and reinforcement learning are …

… the notion of cyber threat intelligence and its main challenges … present opportunistic solutions
to provide threat intelligence. … of artificial intelligence and machine learning techniques to …

… This literature review concentrates on the ML-based security solutions for IoT systems. …
This literature review concentrates on the ML-based security solutions for IoT systems until most …

… This chapter discussed the concept of smart city and its services, technologies used,
security threats and AI/ML-based counter- measures with some recommendations for future …

… IoT security intelligence is examined in this paper from … of machine learning and deep
learning architectures and techniques and describe how they can be applied to intelligent security …

… security solutions that call for ML and DL approaches. We also discuss in detail the existing
ML and DL solutions for addressing different security … for ML- and DL-based IoT security. …