Blar i Department of Information and Communication Technology på forfatter "Elmannai, Hela"

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    • A Deep Learning-Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks 

      Naveed, Muhammad; Arif, Fahim; Usman, Syed Muhammad; Anwar, Aamir; Hadjouni, Myriam; Elmannai, Hela; Hussain, Saddam; Sajid Ullah, Syed; Umar, Fazlullah (Peer reviewed; Journal article, 2022)
      An intrusion detection system, often known as an IDS, is extremely important for preventing attacks on a network, violating network policies, and gaining unauthorized access to a network. The effectiveness of IDS is highly ...

    • An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications 

      Shah, Syed Mohsin Ali; Usman, Syed Muhammad; Khalid, Shehzad; Rehman, Ikram Ur; Anwar, Aamir; Hussain, Saddam; Sajid Ullah, Syed; Elmannai, Hela; Algarni, Abeer D.; Manzoor, Waleed (Peer reviewed; Journal article, 2022)
      Traditional advertising techniques seek to govern the consumer’s opinion toward a product, which may not reflect their actual behavior at the time of purchase. It is probable that advertisers misjudge consumer behavior ...

    • Malware Detection in Internet of Things (IoT) Devices Using Deep Learning 

      Riaz, Sharjeel; Latif, Shahzad; Usman, Syed Muhammad; Sajid Ullah, Syed; Algarni, Abeer D.; Yasin, Amanullah; Anwar, Aamir; Elmannai, Hela; Hussain, Saddam (Peer reviewed; Journal article, 2022)
      Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, ...