As cybersecurity detectors increasingly rely on machine learning mechanisms, attacks to
these defenses escalate as well. Supervised classifiers are prone to adversarial evasion …

In recent years, Botnet has become one of the most dreadful type of malicious entity.
Because of the hidden and carrying capacity of Botnet, the detection task has become a real …

Cybercriminals are becoming increasingly intelligent and aggressive, making them more
adept at covering their tracks, and the global epidemic of cybercrime necessitates significant …

The security pitfalls of IoT devices make it easy for the attackers to exploit the IoT devices
and make them a part of a botnet. Once hundreds of thousands of IoT devices are …

Botnets are one of the online threats with the most significant presence, causing billionaire
losses to global economies. Nowadays, the increasing number of devices connected to the …

The number of Internet-of-Things (IoT) devices has significantly expanded as a result of the
growing reliance on the Internet and the associated rise in connectivity demand. According …

Abstract The Internet of Things (IoT) is rapidly expanding, bringing unprecedented
opportunities and significant security risks. Among the most appealing attacks on IoT are …

A botnet is a group of hijacked devices that conduct various cyberattacks, which is one of the
most dangerous threats on the internet. Individuals or organizations can effectively detect …

In general, traders test their trading strategies by applying them on the historical market data
(backtesting), and then apply to the future trades the strategy that achieved the maximum …

In the present paper we describe a new, updated and refined dataset specifically tailored to
train and evaluate machine learning based malware traffic analysis algorithms. To generate …