Computer Science & Engineering: Recent submissions
Now showing items 181-200 of 2402
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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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
Updating outsourced anatomized private databases
( Association for Computing Machinery , 2013 , Conference Paper)We introduce operations to safely update an anatomized database. The result is a database where the view of the server satisfies standards such as k-anonymity or l-diversity, but the client is able to query and modify the ... -
LocationSpark: A distributed in-memory data management system for big spatial data
( VLDB Endowment , 2015 , Conference Paper)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, ... -
Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)We explore THz communication uplink multi-access with multi-hop Intelligent reflecting surfaces (IRSs) under correlated channels. Our aims are twofold: 1) enhancing the data rate of a desired user while dealing with ... -
QU-GM: An IoT Based Glucose Monitoring System from Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Patients with hyperglycemia require routine glucose monitoring to effectively treat their condition. We have developed a lightweight wristband device to capture Photoplethysmography (PPG) signals. We collected PPG signals, ...
