Abstract The Internet of Things (IoT) is transforming society by connecting businesses and
optimizing systems across industries. Its impact has been felt in healthcare, where it has the …

This paper provides a comprehensive survey of the state-of-the-art use of Artificial
Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. The paper …

In tactical Internet of Things (IoT) applications, the broadcast nature of wireless sensor
networks (WSNs) makes it easy to eavesdrop on their traffic. Furthermore, adversaries can …

Due to continuing improvements in defensive systems, malware developers create
increasingly sophisticated techniques to remain undetected on the infected machine for as …

Smart speakers and voice-based virtual assistants are core components for the success of
the IoT paradigm. Unfortunately, they are vulnerable to various privacy threats exploiting …

In today's world, cybersecurity is important as it secures data against damage and
unauthorized access. In recent years, machine learning studies have made remarkable …

The emergence of various technologies such as terahertz communications, Reconfigurable
Intelligent Surfaces (RIS), and AI-powered communication services will burden network …

Wireless Local Area Networks present several vulnerabilities that are exploited, and as a
result, numerous attacks have been developed and used against them. Although …

Network packet sniffing is one of the techniques that is widely used in the network and cyber
security fields. However, sniffing can also be used as a malicious technique that allows …

The Probe attack is one of the most perilous kinds of cyberattacks since its primary objective
is to get knowledge on the vulnerabilities of the target network. In the course of this research …