31 citations · 31 across the 3 of their papers we have counts for
9 papers · 1 filter
A State-of-the-Art Review on IoT botnet Attack Detection
Zainab Al-Othman, Mouhammd Alkasassbeh, Sherenaz AL-Haj Baddar
The Internet as we know it Today, comprises several fundamental interrelated networks, among which is the Internet of Things (IoT). Despite their versatility, several IoT devices a…
Intelligent Methods for Accurately Detecting Phishing Websites
Almaha Abuzuraiq, Mouhammd Alkasassbeh, Mohammad Almseidin
With increasing technology developments, there is a massive number of websites with varying purposes. But a particular type exists within this large collection, the so-called phish…
Collecting MIB Data from Network Managed by SNMP using Multi Mobile Agents
Nisreen Madi, Mouhammd Alkasassbeh
Network anomalies are destructive to networks. Intrusion detection systems monitor network component behavior to detect unusual activity (i.e., possible threats). Application-layer…
Network Attacks Anomaly Detection Using SNMP MIB Interface Parameters
Ghazi Al-Naymatm, Ahmed Hambouz, Mouhammd Alkasassbeh
Many approaches have evolved to enhance network attacks detection anomaly using SNMP-MIBs. Most of these approaches focus on machine learning algorithms with a lot of SNMP-MIB data…
Detecting network anomalies using machine learning and SNMP-MIB dataset with IP group
Abdelrahman Manna, Mouhammd Alkasassbeh
SNMP-MIB is a widely used approach that uses machine learning to classify data and obtain results, but using SNMP-MIB huge dataset is not efficient and it is also time and resource…
Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality
Mohammad Almseidin, Mouhammd Alkasassbeh, Szilveszter Kovacs
It is difficult to implement an efficient detection approach for Intrusion Detection Systems (IDS) and many factors contribute to this challenge. One such challenge concerns establ…