Abstract Information and Communication Technology (ICT) has a great impact on social
wellbeing, economic growth and national security in todays world. Generally, ICT includes …

Abstract Even though advanced Machine Learning (ML) techniques have been adopted for
DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML …

The investigation of anomalies is an important element in many scientific research fields. In
recent years, this activity has been also extended to social networking and social …

The magnitude, complexity, and diversity of cyber threats against the Internet of Medical
Things have increased over the past several years, making it challenging to implement …

Although the cloud-based robotic system has provided the services in various industries, its
data safety is continuously threatened, and the network intrusion detection system (NIDS) is …

Anomaly detection is becoming widely used in Manufacturing Industry to enhance product
quality. At the same time, it plays a great role in several other domains due to the fact that …

Abstract Machine learning has received increasing attention in computer science in recent
years and many types of methods have been proposed. In computer networks, little attention …

Due to the ever-growing presence of network traffic, there has been a considerable amount
of research on anomaly detection in network traffic by clustering. Most of them have not …

Sensor network infrastructures are widely used in smart cities to monitor and analyze urban
traffic flow. Starting from punctual information coming from traffic sensor data, traffic …

To respond to recent network threats that are using increasingly intelligent techniques, the
intelligent security technology on cloud computing is required. Especially it supports small …