6 citations · 9 across the 2 of their papers we have counts for
3 papers
Detecting Network Anomalies using Rule-based machine learning within SNMP-MIB dataset
Abdalrahman Hwoij, Mouhammd Al-kasassbeh, Mustafa Al-Fayoumi
One of the most effective threats that targeting cybercriminals to limit network performance is Denial of Service (DOS) attack. Thus, data security, completeness and efficiency cou…
Attack based DoS attack detection using multiple classifier
Mohamed Abushwereb, Muhannad Mustafa, Mouhammd Al-kasassbeh +1
One of the most common internet attacks causing significant economic losses in recent years is the Denial of Service (DoS) flooding attack. As a countermeasure, intrusion detection…
Exploiting SNMP-MIB Data to Detect Network Anomalies using Machine Learning Techniques
Ghazi Al-Naymat, Mouhammd Al-kasassbeh, Eshraq Al-Hawari
The exponential increase in the number of malicious threats on computer networks and Internet services due to a large number of attacks makes the network security at continuous ris…