In this paper we propose a two-level hybrid anomalous activity detection model for intrusion
detection in IoT networks. The level-1 model uses flow-based anomaly detection, which is …

With the rising demand for wireless services and increased awareness of the need for data
protection, existing network traffic analysis and management architectures are facing …

Abstract Distributed Denial of Service (DDoS) is a type of attack using the volume, intensity,
and more costs mitigation to increase in this era. Attackers used many zombie computers to …

Taking into account the accelerated rate of network growth, the occurrence of anomalies
becomes inevitable. A single anomaly can affect the network performance so it is crucial to …

Abstract Distributed Denial of Service (DDoS) is a type of attack using the volume, intensity,
and more costs mitigation to increase in this era. Attackers used many zombie computers to …

Quotidian, the perspective of cyber attacks. New malware divergent are provoked almost
daily, the number of attacks is up by 56%. Many see cyber-security alliterative in the form of …

Accepted: 7 June 2022 Network intrusion detection is a significant issue faced by the
Information technology industry. Hacker's attacks set of techniques cause confusion network …

Distributed cyber attacks represent a special class of attacks on computer networks and
systems which is rather difficult to detect. In many respects it is explained by the complexity …

Due to trends in modern infrastructure development and usage, the attacks on Industrial
Control Systems (ICS) are inevitable. New threats and other forms of attacks are constantly …

Network-based intruders such as (DoS) attacks have become one of the most significant
internet interruptions. Some operations that rely on the internet, such as banking …