Recent progress in machine learning has led to promising results in behavioral malware
detection. Behavioral modeling identifies malicious processes via features derived by their …

Machine learning has brought significant advances in cybersecurity, particularly in the
development of Intrusion Detection Systems (IDS). These improvements are mainly …

Training high-quality deep learning models is a challenging task due to computational and
technical requirements. A growing number of individuals, institutions, and companies …

Ransomware is a malicious class of software that utilises encryption to implement an attack
on system availability. The target's data remains encrypted and is held captive by the …

The training and development of good deep learning models is often a challenging task,
thus leading individuals (developers, researchers, and practitioners alike) to use third-party …

Ransomware is a rapidly evolving type of malware designed to encrypt user files on a
device, making them inaccessible in order to exact a ransom. Ransomware attacks resulted …

Recent advances in generative machine learning models rekindled research interest in the
area of password guessing. Data-driven password guessing approaches based on GANs …

Abstract The Internet of Things (IoT) is used in many fields that generate sensitive data, such
as healthcare and surveillance. The increased reliance on IoT raised serious information …

Proposed as a solution to mitigate the privacy implications related to the adoption of deep
learning, Federated Learning (FL) enables large numbers of participants to successfully …

The unprecedented availability of training data fueled the rapid development of powerful
neural networks in recent years. However, the need for such large amounts of data leads to …