Browsing Computer Science & Engineering by Subject "Data obfuscation"

Now showing items 1-5 of 5

    • Data confidentiality in cloud-based pervasive system 

      Khan, Khaled M.; Shaheen, Mahboob; Wang, Yongge ( Association for Computing Machinery , 2017 , Conference Paper)
      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 ...

    • Data Obfuscation for Privacy and Confidentiality in Cloud Computing 

      Khan, Khaled M.; Shaheen, Mahboob ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      This paper proposes a data obfuscation approach in outsourcing matrix multiplication to cloud computing. It is primarily based on splitting the rows and columns of matrices to alter their actual dimension coupled with ...

    • Privacy Preserving Computation in Cloud Using Reusable Garbled Oblivious RAMs 

      Wang, Yongge; Malluhi, Qutaibah M. ( Springer , 2022 , Conference Paper)
      When users store encrypted data in a cloud environment, it is important for users to ask cloud to carry out some computation on the remote data remotely. ORAM is a good potential approach to carry out this kind of remote ...

    • Secure cloud services: Matrix multiplication revisited 

      Khan, Khaled M.; Shaheen, Mahboob ( IEEE , 2013 , Conference Paper)
      This paper revisits the issue of secure outsourcing of services. It proposes a data scrambling approach of transforming private data into public without public key encryption in the cloud computing context. The approach ...

    • Securing Big Data from Eavesdropping Attacks in SCADA/ICS Network Data Streams through Impulsive Statistical Fingerprinting 

      Chaudhry, Junaid; Qidwai, Uvais; Miraz, Mahdi H. ( Springer Verlag , 2019 , Conference Paper)
      While data from Supervisory Control And Data Acquisition (SCADA) systems is sent upstream, it is both the length of pulses as well as their frequency present an excellent opportunity to incorporate statistical fingerprinting. ...