Malicious botnets have become a common threat and pervade large parts of the Internet
today. Existing surveys and taxonomies focus on botnet topologies, command and control …

A number of detection and defense mechanisms have emerged in the last decade to tackle
the botnet phenomenon. It is important to organize this knowledge to better understand the …

The proliferation of IoT devices that can be more easily compromised than desktop
computers has led to an increase in IoT-based botnet attacks. To mitigate this threat, there is …

The results of botnet detection methods are usually presented without any comparison.
Although it is generally accepted that more comparisons with third-party methods may help …

Recently, the number of Internet of Things (IoT) botnet attacks has increased tremendously
due to the expansion of online IoT devices which can be easily compromised. Botnets are a …

The constant miniaturization of hardware and an increase in power efficiency, have made
possible the integration of intelligence into ordinary devices. This trend of augmenting so …

Botnets have recently been identified as serious Internet threats that are continually
developing and expanding. Identifying botnets in the domain of network security is regarded …

Botnet is one of the most serious threats to cyber security as it provides a distributed platform
for several illegal activities. Regardless of the availability of numerous methods proposed to …

Over the past decade, the digitization of services transformed the healthcare sector leading
to a sharp rise in cybersecurity threats. Poor cybersecurity in the healthcare sector, coupled …

In this paper, we suggest an automated malware detection method using convolutional
neural network (CNN) and other machine learning algorithms. Lately malware detection …