Academic: المرسلات الحديثة
السجلات المعروضة 241 -- 260 من 26943
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Battery-Induced Load Hiding and Its Utility Consequences
( 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. ... -
Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation
( 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 ... -
Data consistency in multi-cloud storage systems with passive servers and non-communicating clients
( 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 ... -
Client-Based Secure IoT Data Sharing using Untrusted Clouds
( 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 ... -
Secure Outsourcing of Matrix Operations as a Service
( 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
( 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 ... -
Efficient parallel skyline query processing for high-dimensional data
( 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 ... -
Privacy Preservation of Aggregated Data Using Virtual Battery in the Smart Grid
( 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 ... -
Private Function Evaluation Using Intel's SGX
( 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 ... -
Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data
( 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
( 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 ... -
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
( 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 ... -
The similarity-aware relational database set operators
( 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, ... -
A resource provisioning framework for bioinformatics applications in multi-cloud environments
( 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 ... -
Enclave-based oblivious RAM using Intel's SGX
( 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
( 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 ... -
Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation
( Elsevier , 2024 , Article)Effective modeling of patient representation from electronic health records (EHRs) is increasingly becoming a vital research topic. Yet, modeling the non-stationarity in EHR data has received less attention. Most existing ... -
Predicting emergency department utilization among children with asthma using deep learning models
( 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 ... -
PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
( 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 ... -
Privacy-preserving Deep-learning Models for Fingerprint Data using Differential Privacy
( 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 ...
