31 citations · 82 across the 12 of their papers we have counts for
16 papers
Anomaly-based Intrusion Detection System Using Fuzzy Logic
Mohammad Almseidin, Jamil Al-Sawwa, Mouhammd Alkasassbeh
Recently, the Distributed Denial of Service (DDOS) attacks has been used for different aspects to denial the number of services for the end-users. Therefore, there is an urgent nee…
Diabetic Retinopathy Detection using Ensemble Machine Learning
Israa Odeh, Mouhammd Alkasassbeh, Mohammad Alauthman
Diabetic Retinopathy (DR) is among the worlds leading vision loss causes in diabetic patients. DR is a microvascular disease that affects the eye retina, which causes vessel blocka…
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…