Ransomware has grown to be a dominant cybersecurity threat by exfiltrating, encrypting, or
destroying valuable user data and causing numerous disruptions to victims. The severity of …

The proliferation of ransomware has become a significant threat to cybersecurity in recent
years, causing significant financial, reputational, and operational damage to individuals and …

According to the premise that the first step to try to solve a problem is to deepen our
knowledge of it as much as possible, this work is mainly aimed at diving into and …

Ransomware is a type of malware that locks access to or encrypts its victim's files for a
ransom to be paid to get back locked or encrypted data. With the invention of obfuscation …

Ransomware attacks are on the rise in terms of both frequency and impact. The shift to
remote work due to the COVID-19 pandemic has led more people to work online, prompting …

In the face of increasing cyber threats, particularly ransomware attacks, there is a pressing
need for advanced detection and analysis systems that adapt to evolving malware …

The proliferation of ransomware poses a significant threat to global cybersecurity. This study
presents a comprehensive review of the methodologies employed in the detection and …

Machine learning approaches for detecting anomalies in communication networks heavily
depend on the properties of training data. We analyze the impact of data probability …

Machine learning algorithms have been applied to address a variety of engineering and
scientific problems. The Internet has historically been prone to failures and attacks that …

As cyber attacks grow in complexity, their detection becomes increasingly challenging,
underscoring the critical role of advanced machine learning methods in cybersecurity. These …