Now showing items 41-60 of 27617

    • Free Chain: Enabling Freedom of Expression through Public Blockchains 

      Alsarsour, Israa; Malluhi, Qutaibah; Wang, Yongge ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      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 ...
    • 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, ...
    • Cryptocurrencies and artificial intelligence: Challenges and opportunities 

      Sabry, Farida; Labda, Wadha; Erbad, Aiman; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Decentralized cryptocurrencies have gained a lot of attention over the last decade. Bitcoin was introduced as the first cryptocurrency to allow direct online payments without relying on centralized financial entities. The ...
    • 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 Paper)
      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. ...
    • 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 ...
    • 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 ...
    • 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 Paper)
      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 Paper)
      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 ...
    • 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 Paper)
      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 ...
    • Secure Outsourcing of Matrix Operations as a Service 

      Nassar, Mohamed; Erradi, Abdelkarim; Sabri, Farida; Malluhi, Qutaibah M. ( IEEE Computer Society , 2013 , Conference Paper)
      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 ...
    • 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 Paper)
      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 ...
    • 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 Paper)
      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 ...
    • 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 ...
    • A resource provisioning framework for bioinformatics applications in multi-cloud environments 

      Senturk, Izzet F.; Balakrishnan, P.; Abu-Doleh, Anas; Kaya, Kamer; Malluhi, Qutaibah; ... more authors ( Elsevier , 2018 , Article)
      The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of several gigabytes of raw data in a single sequencing run. This amount of raw data introduces new scalability challenges in ...
    • 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, ...
    • LocationSpark: In-memory Distributed Spatial Query Processing and Optimization 

      Tang, Mingjie; Yu, Yongyang; Mahmood, Ahmed R.; Malluhi, Qutaibah M.; Ouzzani, Mourad; ... more authors ( Frontiers Media S.A. , 2020 , Article)
      Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. In this paper, we present ...
    • 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. ...
    • Efficient sanitization of unsafe data correlations 

      AL Bouna, Bechara; Clifton, Chris; Malluhi, Qutaibah ( CEUR-WS , 2015 , Conference Paper)
      In this paper, we present a study to counter privacy violation due to unsafe data correlation. We propose a safe correlation requirement to keep correlated values bounded by l-diversity and evaluate the trade-off to be ...
    • 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 ...