31 citations · 31 across the 2 of their papers we have counts for
4 papers
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…
Evaluation of Machine Learning Algorithms for Intrusion Detection System
Mohammad Almseidin, Maen Alzubi, Szilveszter Kovacs +1
Intrusion detection system (IDS) is one of the implemented solutions against harmful attacks. Furthermore, attackers always keep changing their tools and techniques. However, imple…
A Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point Detection
Mouhammd Alkasassbeh
In recent years, computer networks have become more and more advanced in terms of size, applications, complexity and level of heterogeneity. Moreover, availability and performance…
An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods
Mouhammd Alkasassbeh
Despite the great developments in information technology, particularly the Internet, computer networks, global information exchange, and its positive impact in all areas of daily l…