A botnet is a network of devices infected with malware and controlled remotely by a person
with malicious intent. Botnets can launch attacks to steal data, perform phishing, spamming …

The acceptance of Internet of Things (IoT) applications and services has seen an enormous
rise of interest in IoT. Organizations have begun to create various IoT based gadgets …

Botnets are vectors through which hackers can seize control of multiple systems and
conduct malicious activities. Researchers have proposed multiple solutions to detect and …

In this article, we analyzed botnet traffic in an IoT environment using three machine learning
classifiers: Logistic Regression, Support-Vector Machine and Random Forest. We classified …

The need for timely identification of Distributed Denial-of-Service (DDoS) attacks in the
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …

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 …

Among the different types of malware, botnets are rising as the most genuine risk against
cybersecurity as they give a stage to criminal operations (eg, Distributed Denial of Service …

The evolution and expansion of IoT devices reduced human efforts, increased resource
utilization, and saved time; however, IoT devices create significant challenges such as lack …

Deep learning (DL) is an efficient method for botnet attack detection. However, the volume of
network traffic data and memory space required is usually large. It is, therefore, almost …

The Internet of Things (IoT) has lately developed into an innovation for developing smart
environments. Security and privacy are viewed as main problems in any technology's …