Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …

Anomaly detection (AD) use within the network intrusion detection field of research, or
network intrusion AD (NIAD), is dependent on the proper use of similarity and distance …

With the rapid growth and the increasing complexity of network infrastructures and the
evolution of attacks, identifying and preventing network abuses is getting more and more …

The ever-increasing number of IoT applications and cyber–physical services is introducing
significant challenges associated to their cyber-security. Due to the constrained nature of the …

Abstract In Content-Centric Networks (CCNs) as a possible future Internet, new kinds of
attacks and security challenges–from Denial of Service (DoS) to privacy attacks–will arise …

Intrusion detection systems (IDSs) play an important role in the security of computer
networks. One of the main challenges in IDSs is the high-dimensional input data analysis …

Purpose The paper addresses various cyber threats and their effects on the internet. A
review of the literature on intrusion detection systems (IDSs) as a means of mitigating …

Intrusion detection has been playing a crucial role for making a computer network secure for
any transaction. An intrusion detection system (IDS) detects various types of malicious …

Network anomalies, circumstances in which the network behavior deviates from its normal
operational baseline, can be due to various factors such as network overload conditions …

We analyze the impact of textual information from e-commerce companies' websites on their
commercial success. The textual information is extracted from web content of e-commerce …