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Adel Sabry Eesa

Area interest

    Computational Intelligence Soft Computing Machine Learning Intrusion Detection Systems.

Specialties

    Artificial Intelligence

Language

  • Arabic (good)
  • English (good)

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Thesis

2024

A Novel Cuttlefish Optimization Algorithm for Distributed Intrusion Detection System

2015
In this thesis, a novel Cuttlefish optimization Algorithm (CFA) is proposed for IDS. First: The proposed algorithm is a new Bio-Inspired optimization algorithm that can mimic the color changing behavior of cuttlefish to find the optimal solution. The second proposal is to modify this optimization algorithm to be used as a feature selection model for IDS. Finally, a new Distributed Intrusion Detection System (DIDS) was designed based on the combination of CFA and Decision Tree (DT).

A Comparative Study among Several Modified Intrusion Detection System Techniques

2009
The purpose of this thesis is to design, implement and evaluate an anomaly off-line based intrusion detection system using three techniques data mining association rules, decision trees, and artificial neural network, then comparing among them to decide which technique is better in its performance for the intrusion detection system. While most of the previous studies have focused on the classification of records in one of two general classes - normal and attacks, this thesis also aims to solve a multiclass
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