Abstract The Internet of Things era is being replaced by the Internet of Everything (IoE) era,
where everything can communicate with everything else. With the advent of the fourth …

Adapting modern approaches for network intrusion detection is becoming critical, given the
rapid technological advancement and adversarial attack rates. Therefore, packet-based …

In order to counter cyber-attacks and digital threats, security experts must generate, share,
and exploit cyber-threat intelligence generated from malware. In this research, we address …

Attacks launched over the Internet often degrade or disrupt the quality of online services.
Various Intrusion Detection Systems (IDSs), with or without prevention capabilities, have …

Banking malware are malicious programs that attempt to steal confidential information, such
as banking authentication credentials, from users. Zeus is one of the most widespread …

Intrusion detection systems are management programs that detect possible attacks on
networks and computers, and usually do so by identifying information in the header of …

Botnets pose a real threat to cybersecurity by facilitating criminal activities like malware
distribution, attacks involving distributed denial of service, fraud, click fraud, phishing, and …

High-performance reconfigurable computers (HPRCs) are parallel computers but with
added FPGA chips. Examples of such systems are the Cray XT5 h and Cray XD1, the SRC-7 …

This paper presents the use of unsupervised Gaussian Mixture Models (GMMs) for the
production of per-application models using their flows' statistics in order to be exploited in …

Due to unpleasant market competition, IT companies are releasing the software or
applications without much considering the unintended security breaches presented inside it …