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researcher

M. Alkasassbeh

16 papers hereh-index 231.4k citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author3
  • middle author7
  • last author4

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.NI9
  • cs.CR3
  • cs.AI1
  • cs.CY1
  • cs.LG1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

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

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.NI2019★ 2 cited

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…

cs.NI2019

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…

cs.NI2019

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.