| الإنجليزية | العربية | الرئسية | تسجيل الدخول |

Adel Sabry Eesa

الاهتمامات البحثية

    Computational Intelligence Soft Computing Machine Learning Intrusion Detection Systems.

التخصصات

    Artificial Intelligence

اللغات

  • Kurdish (good)
  • English (good)

الروابط الاجتماعية

Google Scholar

الاطاريح

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 Novel Cuttlefish Optimization Algorithm for Distributed Intrusion Detection System

2009
PhD
الرجوع