Now showing items 1702-1721 of 2266

    • 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 ...
    • Privacy-Aware Collaborative Task Offloading in Fog Computing 

      Razaq, Mian Muaz; Tak, Byungchul; Peng, Limei; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Numerous new applications have been proliferated with the mature of 5G, which generates a large number of latency-sensitive and computationally intensive mobile data requests. The real-time requirement of these mobile data ...
    • Privacy-preserving artificial intelligence in healthcare: Techniques and applications 

      Khalid, Nazish; Qayyum, Adnan; Bilal, Muhammad; Al-Fuqaha, Ala; Qadir, Junaid ( Elsevier , 2023 , Article Review)
      There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial ...
    • Privacy-preserving Deep-learning Models for Fingerprint Data using Differential Privacy 

      Mohammadi, Maryam; Sabry, Farida; Labda, Wadha; Malluhi, Qutaibah ( Association for Computing Machinery, Inc , 2023 , Conference Paper)
      Fingerprint recognition is a widely adopted biometric authentication method that leverages the unique characteristics of fingerprints to identify individuals. Its applications range from access control and authentication ...
    • Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems 

      Tabassum A.; Erbad A.; Mohamed A.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Existing techniques for incremental learning are computationally expensive and produce duplicate features leading to higher false positive and true negative rates. We propose a novel privacy-preserving intrusion detection ...
    • Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation 

      Kserawi, Fawaz; Al-Marri, Saeed; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      The edge of the smart grid has a massive number of power and resource-constrained interconnected devices. Mainly, smart meters report power consumption data from consumer homes, industrial buildings, and other connected ...
    • A Privacy-Preserving Medical Data Sharing Scheme Based on Consortium Blockchain 

      Liu, Jingwei; Liang, Tianyu; Sun, Rong; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Electronic medical records (EMRs) can provide medical institutes with a number of research materials, which could promote the development of medical field. In order to protect patients' privacy while achieving efficient ...
    • Privacy-Preserving Support Vector Machine Training over Blockchain-Based Encrypted IoT Data in Smart Cities 

      Shen M.; Tang X.; Zhu L.; Du X.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Machine learning (ML) techniques have been widely used in many smart city sectors, where a huge amount of data is gathered from various (IoT) devices. As a typical ML model, support vector machine (SVM) enables efficient ...
    • Private Function Evaluation Using Intel's SGX 

      Abou Selo, Omar; Rachid, Maan Haj; Shikfa, Abdullatif; Wang, Yongge; Malluhi, Qutaibah ( John Wiley and Sons Inc , 2020 , Article)
      Private Function Evaluation (PFE) is the problem of evaluating one party's private data using a private function owned by another party. Existing solutions for PFE are based on universal circuits evaluated in secure ...
    • PRNU Estimation based on Weighted Averaging for Source Smartphone Video Identification 

      Lawgaly, Ashref; Khelifi, Fouad; Bouridane, Ahmed; Al-Maaddeed, Somaya; Akbari, Younes ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Photo response non-uniformity (PRNU) noise is a sensor pattern noise characterizing imperfections in the imaging device. The PRNU is a unique noise for each sensor device, and it has been generally utilized in the literature ...
    • PRNU-Net: a Deep Learning Approach for Source Camera Model Identification based on Videos Taken with Smartphone 

      Akbari, Younes; Almaadeed, Noor; Al-Maadeed, Somaya; Khelifi, Fouad; Bouridane, Ahmed ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      Recent advances in digital imaging have meant that every smartphone has a video camera that can record high-quality video for free and without restrictions. In addition, rapidly developing Internet technology has contributed ...
    • Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks 

      Baccour E.; Erbad A.; Mohamed A.; Bilal K.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Recently, the growing demand for rich multimedia content such as Video on Demand (VoD) has made the data transmission from content delivery networks (CDN) to end-users quite challenging. Edge networks have been proposed ...
    • Probabilistic qualitative preference matching in long-term IaaS composition 

      Mistry, Sajib; Bouguettaya, Athman; Dong, Hai; Erradi, Abdelkarim ( Springer Verlag , 2017 , Conference Paper)
      We propose a qualitative similarity measure approach to select an optimal set of probabilistic Infrastructure-as-a-Service (IaaS) requests according to the provider's probabilistic preferences over a long-term period. The ...
    • Problem-based learning environments in Moodle: Implementation approches 

      Ali, Zeyad F.; Al-Dous, Khulood; Samaka, Mohammed ( IEEE Computer Society , 2015 , Conference Paper)
      Problem-based learning (PBL) educators resorted to developing their own environments even with existence of comprehensive Learning Management Systems (LMS). They realized that both commercial and open source systems were ...
    • Processing geo-dispersed big data in an advanced mapreduce framework 

      Zhang, Hongli; Zhang, Qiang; Zhou, Zhigang; Du, Xiaojiang; Yu, Wei; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)
      Big data has emerged as a new era of information generation and processing. Big data applications are expected to provide a lot of benefits and convenience to our lives. Cloud computing is a popular infrastructure that has ...
    • Product failure detection for production lines using a data-driven model 

      Kang, Ziqiu; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2022 , Article)
      For a healthy production line, it is essential to ensure a low failure rate of products. Product quality in production lines can be inspected using several techniques at the end of a production process, including a manual ...
    • Product lifecycle management solution for collaborative development of Wearable Meta-Products using set-based concurrent engineering 

      Essamlali, Mohammed Taha Elhariri; Sekhari, Aicha; Bouras, Abdelaziz ( SAGE Publications Ltd , 2017 , Article)
      The trend of smart products is now changing the world and transforming the life of customers. People tend to be more tied to smart, connected products seeking to ease and improve quality of life and find new ways to make ...
    • Profile-based security assurances for service software 

      Khan, Khaled M. ( Springer Verlag , 2011 , Conference Paper)
      In service software, it is highly desirable to have a service composition mechanism that supports automatic reasoning about the security assurances of services. Service consumers such as human, machine, even application ...
    • Profit Maximization of Online Service Function Chain Orchestration in an Inter-Datacenter Elastic Optical Network 

      Yu, Hongfang; Chen, Zhenrong; Sun, Gang; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      To meet the increasing traffic demands characterized by large bandwidth and high burstiness, more traffic has been moving to inter-datacenter elastic optical networks (inter-DC EONs) for processing. The integration of two ...
    • Programmable Switch Aided Content Popularity Prediction and Caching Strategy 

      He, Wenji; Yao, Haipeng; Mai, Tianle; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Content distribution is the most critical task for the current Internet, (e.g., the estimated video traffic will reach 82 percent of the Internet traffic by 2022). With the fast increase of load of the network, traditional ...