Computer Science & Engineering: Recent submissions

Now showing items 21-40 of 2262

    • ConMR: Concurrent MapReduce programming model for large scale shared-Data applications 

      Zhang, Fan; Malluhi, Qutaibah. M.; Elsyed, Tamer M. ( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)
      The rapid growth of large-data processing has brought in the MapReduce programming model as a widely accepted solution. However, MapReduce limits itself to a onemap- To-one-reduce framework. Meanwhile, it lacks built-in ...

    • Real-time traffic surveillance using ZigBee 

      Al-Abdallah, Aisha; Al-Emadi,Asma; Al-Ansari, Mona; Mohandes, Nassma; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2010 , Conference Paper)
      This paper describes the design, implementation, and analysis of a proof-of-concept prototype of a traffic surveillance system. The system employs an in-vehicle device for collecting real-time traffic data. The device uses ...

    • 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 Paper)
      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 ...

    • Scalable multi-core implementation for motif finding problem 

      Abbas, Mostafa M.; Malluhi, Qutaibah M.; Balakrishnan, P. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      The motif finding problem is a key step for understanding the gene regulation and expression, drug design, disease resistance, etc. Many sequential algorithms have been proposed in the literature to find the exact motifs. ...

    • Approving updates in collaborative databases 

      Mershad, Khaleel; Malluhi, Qutaibah M.; Ouzzani, Mourad; Tang, Mingjie; Aref, Walid G. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      Data curation activities in collaborative databases mandate that collaborators interact until they converge and agree on the content of their data. Typically, updates by a member of the collaboration are made visible to ...

    • 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 ...