Abstract The rise of Distributed Denial of Service (DDoS) attacks have been steady in terms
of the frequency and the impact of the attack. Traditionally, the attackers required control of a …

The broadening dependency and reliance that modern societies have on essential services
provided by Critical Infrastructures is increasing the relevance of their trustworthiness …

Mitigating increasing cyberattack incidents may require strategies such as reinforcing
organizations' networks with Honeypots and effectively analyzing attack traffic for detection …

Visual analytics enables the coupling of machine learning models and humans in a tightly
integrated workflow, addressing various analysis tasks. Each task poses distinct demands to …

Network Function Virtualization or NFV gives numerous advantages over the conventional
networking techniques by incorporating distinctive features of a network over the virtual …

Cybersecurity research demands continuous monitoring of the dynamic threat landscape to
detect novel attacks. Researchers and security professionals often deploy honeypot …

The analysis of vast amounts of network data for monitoring and safeguarding a core pillar of
the internet, the root DNS, is an enormous challenge. Understanding the distribution of the …

Bagging and boosting are two popular ensemble methods in machine learning (ML) that
produce many individual decision trees. Due to the inherent ensemble characteristic of …

Honeypots act as an easy target for attackers but it is actually a “decoy” in which attacker is
trapped. It is a defensive technique which lures the attacker into performing some illicit …

Distributed Reflected Denial of Service (DRDoS) attacks have been continuing to grow
unprecedentedly in the recent years. Attackers abuse genuine services running some …