السجلات المعروضة 841 -- 860 من 8781

    • Anomalies detection in software by conceptual learning from normal executions 

      Alban, Ahmad Qadeib; Islam, Fahad; Malluhi, Qutaibah M.; Jaoua, Ali ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Could we detect anomalies during the run-time of a program by learning from the analysis of its previous traces for normally completed executions? In this paper we create a featured data set from program traces at run time, ...
    • Data consistency in multi-cloud storage systems with passive servers and non-communicating clients 

      Mhaisen, Naram; Malluhi, Qutaibah M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Multi-cloud storage systems are becoming more popular due to the ever-expanding amount of consumer data. This growth is accompanied by increasing concerns regarding security, privacy, and reliability of cloud storage ...
    • Securing Aggregate Queries for DNA Databases 

      Nassar, Mohamed; Malluhi, Qutaibah; Atallah, Mikhail; Shikfa, Abdullatif ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      This paper addresses the problem of sharing person-specific genomic sequences without violating the privacy of their data subjects to support large-scale biomedical research projects. The proposed method builds on the ...
    • Similarity Group-By operators for multi-dimensional relational data 

      Tang, Mingjie; Tahboub, Ruby Y.; Aref, Walid G.; Atallah, Mikhail J.; Malluhi, Qutaibah M.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)
      The SQL group-by operator plays an important role in summarizing and aggregating large datasets in a data analytics stack. The Similarity SQL-based Group-By operator (SGB, for short) extends the semantics of the standard ...
    • Battery-Induced Load Hiding and Its Utility Consequences 

      Aly, Hussein; Altamimi, Emran; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)
      The introduction of smart grids allows utility providers to collect detailed data about consumers, which can be utilized to enhance grid efficiency and reliability. However, this data collection also raises privacy concerns. ...
    • RES-EV: Identifying EV-Households under High AC Load Using a Residual-Based Model 

      Aly, Hussein; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)
      This paper introduces a novel residual-based model to identify households with Battery Electric Vehicles (EVs) under high Air Conditioning (AC) load. The considerable energy demands of AC units can obscure charging events ...
    • Free Chain: Enabling Freedom of Expression through Public Blockchains 

      Alsarsour, Israa; Malluhi, Qutaibah; Wang, Yongge ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Everyone should have the right to expression and opinion without interference. Nevertheless, Internet censorship is often misused to block freedom of speech. The distributed ledger technology provides a globally shared ...
    • Machine Learning for Healthcare Wearable Devices: The Big Picture 

      Sabry, Farida; Eltaras, Tamer; Labda, Wadha; Alzoubi, Khawla; Malluhi, Qutaibah ( John Wiley and Sons Inc , 2022 , Article Review)
      Using artificial intelligence and machine learning techniques in healthcare applications has been actively researched over the last few years. It holds promising opportunities as it is used to track human activities and ...
    • 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 ...
    • Efficient parallel skyline query processing for high-dimensional data 

      Tang, Mingjie; Yu, Yongyang; Aref, Walid G.; Malluhi, Qutaibah M.; Ouzzani, Mourad ( IEEE Computer Society , 2019 , Conference)
      Given a set of multidimensional data points, skyline queries retrieve those points that are not dominated by any other points in the set. Due to the ubiquitous use of skyline queries, such as in preference-based query ...
    • Client-Based Secure IoT Data Sharing using Untrusted Clouds 

      Kamal, Naheel Faisal; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
      IoT systems commonly rely on cloud services. However, utilizing cloud providers can be problematic in terms of data security. Data stored in the cloud need to be secured from unauthorized malicious nodes and from the cloud ...
    • The similarity-aware relational database set operators 

      Al Marri, Wadha J.; Malluhi, Qutaibah; Ouzzani, Mourad; Tang, Mingjie; Aref, Walid G. ( Elsevier , 2016 , Article)
      Identifying similarities in large datasets is an essential operation in several applications such as bioinformatics, pattern recognition, and data integration. To make a relational database management system similarity-aware, ...
    • Privacy Preservation of Aggregated Data Using Virtual Battery in the Smart Grid 

      Kserawi, Fawaz; Malluhi, Qutaibah M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Smart Meters (SM) are IoT end devices used to collect user utility consumption with limited processing power on the edge of the smart grid (SG). While SMs have great applications in providing data analysis to the utility ...
    • Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data 

      Aly, Hussein; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( IEEE Computer Society , 2023 , Conference)
      The Smart Grid Advanced Metering Infrastructure (AMI) has revolutionized the smart grid network, generating vast amounts of data that can be utilized for diverse objectives, one of which is Household Characteristics ...
    • Secure Outsourcing of Matrix Operations as a Service 

      Nassar, Mohamed; Erradi, Abdelkarim; Sabri, Farida; Malluhi, Qutaibah M. ( IEEE Computer Society , 2013 , Conference)
      This paper reports the design of a cloud-based service for coordinating secure outsourcing of storage and computation of scientific data, particularly matrices. While this service may support different secure outsourcing ...
    • PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks 

      AlSaad, Rawan; Malluhi, Qutaibah; Boughorbel, Sabri ( BioMed Central Ltd , 2022 , Article)
      Background: Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predictive ...
    • Predicting emergency department utilization among children with asthma using deep learning models 

      AlSaad, Rawan; Malluhi, Qutaibah; Janahi, Ibrahim; Boughorbel, Sabri ( Elsevier , 2022 , Article)
      Pediatric asthma is a leading cause of emergency department (ED) utilization, which is expensive and often preventable. Therefore, development of ED utilization predictive models that can accurately predict patients at ...
    • 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)
      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 ...
    • Enclave-based oblivious RAM using Intel's SGX 

      Rachid, Maan Haj; Riley, Ryan; Malluhi, Qutaibah ( Elsevier , 2020 , Article)
      Oblivious RAM (ORAM) schemes exist in order to protect the access pattern of data in a data store. Under an ORAM algorithm, a client accesses a data store in such a way that does not reveal which item it is interested in. ...
    • LocationSpark: A distributed in-memory data management system for big spatial data 

      Tang, Mingjie; Yu, Yongyang; Malluhi, Qutaibah M.; Ouzzani, Mourad; Aref, Walid G. ( VLDB Endowment , 2015 , Conference)
      We present LocationSpark, a spatial data processing system built on top of Apache Spark, a widely used distributed data processing system. LocationSpark offers a rich set of spatial query operators, e.g., range search, ...