activity
20152021
most citedAn empirical evaluation for the intrusion detection features based on machine learning and feature selection methods

31 citations · 82 across the 12 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.NI2018★ 1 cited

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…

cs.CY2018★ 3 cited

Classification of malware based on file content and characteristics

Mouhammd Alkasassbeh, Samail Al-Daleen

In general, the industry of malware has come to be a market which brings on loads of money by investing and implementing high end technology to escape traditional detection while v…

cs.NI2018★ 14 cited

Machine Learning Methods for Network Intrusion Detection

Mouhammad Alkasassbeh, Mohammad Almseidin

Network security engineers work to keep services available all the time by handling intruder attacks. Intrusion Detection System (IDS) is one of the obtainable mechanisms that is u…

cs.CR2018★ 3 cited

Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques

Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Al-kasassbeh +1

Network security engineers work to keep services available all the time by handling intruder attacks. Intrusion Detection System (IDS) is one of the obtainable mechanism that used…

cs.CR2018

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…

cs.NI2018

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…