Browsing by Author "Bashendy, May"

Now showing items 1-4 of 4

    • Hybrid Machine Learning for Network Anomaly Intrusion Detection 

      Chkirbene, Zina; Eltanbouly, Sohaila; Bashendy, May; Alnaimi, Noora; Erbad, Aiman ( IEEE , 2020 , Conference Paper)
      In this paper, a hybrid approach of combing two machine learning algorithms is proposed to detect the different possible attacks by performing effective feature selection and classification. This system uses Random Forest ...

    • INTRUSION RESPONSE FOR CYBER-PHYSICAL SYSTEMS: A MODEL-FREE DEEP REINFORCEMENT LEARNING APPROACH 

      BASHENDY, MAY SAED MOHAMED (06-2 , Master Thesis)
      Cyberattacks on Cyber-Physical Systems (CPSs) are on the rise due to CPS increased networked connectivity, which may cause costly environmental hazards as well as human and financial loss. Although the connectivity of CPSs ...

    • Intrusion response systems for cyber-physical systems: A comprehensive survey 

      Bashendy, May; Tantawy, Ashraf; Erradi, Abdelkarim ( Elsevier , 2023 , Article Review)
      Cyberattacks on Cyber-Physical Systems (CPS) are on the rise due to CPS increased networked connectivity and may cause costly environmental hazards as well as human and financial loss. This necessitates designing and ...

    • Machine Learning Techniques for Network Anomaly Detection: A Survey 

      Eltanbouly, Sohaila; Bashendy, May; Alnaimi, Noora; Chkirbene, Zina; Erbad, Aiman ( IEEE , 2020 , Conference Paper)
      Nowadays, distributed data processing in cloud computing has gained increasing attention from many researchers. The intense transfer of data has made the network an attractive and vulnerable target for attackers to exploit ...