Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …

Adversarial machine learning is a recent area of study that explores both adversarial attack
strategy and detection systems of adversarial attacks, which are inputs specially crafted to …

In today's digital world, the tremendous amount of data poses a significant challenge to
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …

Intrusion detection systems (IDS) play a critical role in safeguarding computer networks
against unauthorized access and malicious activities. However, traditional IDS approaches …

Cyber-attacks cause huge monetary losses to the institutions that are victims of them. Cyber-
attack is becoming increasingly sophisticated. Therefore, the protection system against …

In recent infrastructures, Internet of Things (IoT) have become an important technology for
connecting various actuators and sensors over wireless networks. Due to increase in …

The Internet of Things (IoT) introduces significant security vulnerabilities, raising concerns
about cyber-attacks. Attackers exploit these vulnerabilities to launch distributed denial-of …

The evolution of identity and access management (IAM) has been driven by the expansion
of online services, cloud computing, and the Internet of Things (IoT). The proliferation of …

The focus of cloud computing nowadays has been reshaping the digital epoch, in which
clients now face serious concerns about the security and privacy of their data hosted in the …

With the increase and diversity of network attacks, machine learning has shown its efficiency
in realizing intrusion detection. Federated Learning (FL) has been proposed as a new …