• An efficient instance hiding scheme 

      Malluhi, Qutaibah M.; Shikfa, Abdullatif; Trinh, Viet Cuong ( Association for Computing Machinery , 2016 , Conference)
      Delegating computation, which is applicable to many practical contexts such as cloud computing or pay-TV system, concerns the task where a computationally weak client wants to securely compute a very complex function f on ...
    • Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection 

      Nawshin, Faria; Arnal, Romain; Unal, Devrim; Suganthan, Ponnuthurai; Touseau, Lionel ( Association for Computing Machinery , 2024 , Conference)
      Android devices are central to our daily lives, which leads to an increase in mobile security threats. Attackers try to exploit vulnerabilities and steal personal information from the installed applications on these devices. ...
    • Bringing Coordination Languages Back to the Future Using Blockchain Smart Contracts 

      Hammoudeh, Mohammad; Adebisi, Bamidele; Unal, Devrim; Laouid, Abdelkader ( Association for Computing Machinery , 2021 , Conference)
      This paper presents a blockchain extension of the run-time Sensing as a Service SOA (3SOA) approach presented in [5]. 3SOA defines a practical approach for implementing service-oriented Internet of Things (IoT) using ...
    • Data confidentiality in cloud-based pervasive system 

      Khan, Khaled M.; Shaheen, Mahboob; Wang, Yongge ( Association for Computing Machinery , 2017 , Conference)
      Data confidentiality and privacy is a serious concern in pervasive systems where cloud computing is used to process huge amount of data such as matrix multiplications typically used in HPC. Due to limited processing ...
    • A Testbed Implementation of a Biometric Identity-Based Encryption for IoMT-enabled Healthcare System 

      Aggarwal, Mahima; Zubair, Mohammed; Unal, Devrim; Al-Ali, Abdulla; Reimann, Thomas; ... more authors ( Association for Computing Machinery , 2021 , Conference)
      Historically, health data was stored locally on the hospital's server as patient health records, and we had to rely on the planned check-up during doctor's visits. Now, we can monitor health continuously and in real-time. ...