Denial-of-Service (DoS) and Distributed Denial-of Service (DDoS) attacks account for one
third of all service downtime incidents. Current DoS/DDoS attacks are not only limited to …

Distributed Denial of Service (DDoS) attacks grow rapidly and become one of the fatal
threats to the Internet. Automatically detecting DDoS attack packets is one of the main …

Distributed Denial of Service (DDoS) attacks is very recent and popular devastating attack in
the field of cyber society. Flooding DDoS attacks produce adverse effects for critical …

Over the last decade, Distributed Denial of Service (DDoS) attacks have been employed to
cause huge financial and prestige loss to different kinds of e-business. Attackers also target …

Distributed Denial of Service (DDoS) attacks are one of the most harmful threats in today's
Internet, disrupting the availability of essential services. The challenge of DDoS detection is …

Adaptive detection is the learning ability to detect any changes in patterns in intrusion
detection systems. In this paper, we propose combining two techniques in feature selection …

The extensive and complex network attacks on smart devices and computers trigger a need
for robust and adaptive intrusion detection systems (IDSs). Most of the existing intrusion …

As more organizations and businesses in different sectors are moving to a digital
transformation, there is a steady increase in malware, facing data theft or service …

Attackers can leverage several techniques to compromise computer networks, ranging from
sophisticated malware to DDoS (Distributed Denial of Service) attacks that target the …

Cognitive network management is becoming quintessential to realize autonomic networking.
However, the wide spread adoption of the Internet of Things (IoT) devices, increases the risk …