Despite providing unparalleled connectivity and convenience, the exponential growth of the
Internet of Things (IoT) ecosystem has triggered significant cybersecurity concerns. These …

In this current era, cyber-physical systems (CPSs) have gained concentrated consideration
in various fields because of their emergent applications. Though the robust dependence on …

Federated learning presents a compelling approach to training artificial intelligence systems
in decentralized settings, prioritizing data safety over traditional centralized training …

Quantum computers use quantum-mechanical phenomena for knowledge manipulation and
depend on quantum bits or qubits. A qubit can be created in several different ways, and out …

In this study, machine learning algorithms in IoT IDS (Internet of Things Intrusion Detection
System) systems are comprehensively compared from various aspects. Accuracy, precision …

Artificial Intelligence is an indispensable element of the modern world, constantly evolving
and contributing to the emergence of new technologies. We meet it in everyday applications …

Traditional network analysis frequently relied on manual examination or predefined patterns
for the detection of system intrusions. As soon as there was increase in the evolution of the …

The exponential growth of Internet of Things (IoT) devices has led to an escalation in the
number of possible points of attack, making IoT networks vulnerable to a diverse range of …

Subsiding in the world of technical savvy where machine learning, is at leisure. As the
inclination has been externalized towards finance in terms of use cases such as the travel …

The conversational agents or chatbots have become a part of our everyday life and are
designed to make our life easier. Recent advancements in natural language processing and …