Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

When detecting phishing websites, both humans and computers rely on aspects of the
website (features) to aid in their decision making. In this work, we conduct a review of URL …

Web phishing is a form of cybercrime aimed at tricking people into visiting malicious URLs to
exfiltrate sensitive data. Since the structure of a malicious URL evolves over time, phishing …

This paper investigates how different genetic and nature-inspired feature selection
algorithms operate in systems where the prediction model changes over time in unforeseen …

This paper proposes FeSAD, a framework that will allow a machine learning classifier to
detect evolutionary ransomware. Ransomware is a critical player in the malware space that …

Malicious websites predominantly promote the growth of criminal activities over the Internet
restraining the development of web services. Furthermore, we see different types of devices …

The website security is an important issue that must be pursued to protect Internet users.
Traditionally, blacklists of malicious websites are maintained, but they do not help in the …

Heating, ventilation, and air conditioning (HVAC) system performance research has
received much attention in recent years. Many researchers suggest a set of appropriate …

Mining data streams for predictive analysis is one of the most interesting topics in machine
learning. With the drifting data distributions, it becomes important to build adaptive systems …

Abstract Concept drift refers to the change in data distributions and evolving relationships
between input and output variables with the passage of time. To analyze such variations in …