KINDI Center for Computing Research: Recent submissions

Now showing items 1-20 of 178

    • Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring 

      Chkirbene, Zina; Hamila, Ridha; Unal, Devrim; Gabbouj, Moncef; Hamdi, Mounir ( IEEE , 2024 , Article)
      The traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. ...

    • The Future of Aerial Communications: A Survey of IRS-Enhanced UAV Communication Technologies 

      Chkirbene, Zina; Gouissem, Ala; Hamila, Ridha; Unal, Devrim ( IEEE , 2024 , Conference)
      The advent of Intelligent Reflecting Surfaces (IRS) and Unmanned Aerial Vehicles (UAVs) is setting a new benchmark in the field of wireless communications. IRS, with their groundbreaking ability to manipulate electromagnetic ...

    • Security-Driven Performance Analysis of Lightweight Cryptography for Energy Efficiency Applications 

      Al-Hasan, Tamim M.; Sayed, Aya N.; Bensaali, Faycal; Nhlabatsi, Armstrong; Hamila, Ridha ( IEEE , 2024 , Conference)
      This paper provides a comprehensive analysis of the security-centric performance of the Lightweight Cryptography (LWC) algorithms ASCON, TinyJambu, and Xoodyak, finalists in the NIST standardization process, through their ...

    • Improved Handshaking Procedures for Transport Layer Security in Software Defined Networks 

      Li, Xue Jun; Ma, Maode; Hlaing, Cho Wai ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
      Software defined networking (SDN) has emerged as a new technology to enhance the flexibility, resilience, and automated centralized management of a network. Recently several reports have identified possible vulnerabilities, ...

    • A Blockchain-Based Security Scheme for Vehicular Ad Hoc Networks in Smart Cities 

      Li, Xue Jun; Ma, Maode; Yong, Yong Xing ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
      The development of Vehicular Ad Hoc Networks (VANET) has brought many advantages to facilitate the deployment of the Intelligent Transportation System (ITS). However, without proper protection, VANETs can be vulnerable to ...

    • Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey 

      Nawshin, Faria; Gad, Radwa; Unal, Devrim; Al-Ali, Abdulla Khalid; Suganthan, Ponnuthurai N. ( Elsevier , 2024 , Article)
      Mobile devices have become an essential element in our day-to-day lives. The chances of mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting vulnerabilities from devices as well as ...

    • Evaluation of combined genome assemblies: A case study with fungal genomes 

      Abbas, Mostafa M.; Balakrishnan, Ponnuraman; Malluhi, Qutaibah M. ( Springer , 2015 , Conference)
      The rapid advances in genome sequencing leads to the generation of huge amount of data in a single sequencing experiment. Several genome assemblers with different objectives were developed to process these genomic data. ...

    • Anonymizing transactional datasets 

      AL Bouna, Becharaa; Clifton, Chrisc; Malluhi, Qutaibah ( IOS Press , 2015 , Article)
      In this paper, we study the privacy breach caused by unsafe correlations in transactional data where individuals have multiple tuples in a dataset. We provide two safety constraints to guarantee safe correlation of the ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Smoking induced salivary microbiome dysbiosis and is correlated with lipid biomarkers 

      Mohammed, Layla I.; Razali, Rozaimi; Zakaria, Zain Zaki; Benslimane, Fatiha M.; Cyprian, Farhan; ... more authors ( Springer Nature , 2024 , Article)
      Background: The oral microbiome plays an essential role in maintaining oral homeostasis and health; smoking significantly affects it, leading to microbial dysbiosis. The study aims to investigate changes in the oral ...

    • Embedded wearable EEG seizure detection in ambulatory state 

      Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( UK Simulation Society , 2014 , Article)
      This paper describes a classification method is presented using a Fuzzy System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. ...

    • Wirelessly controlled mimicing humanoid robot 

      Qidwai, Uvais; Shakir, Mohamed; Hakouz, Wa'ed; Musa, Nour ( IEEE , 2014 , Conference)
      Educational humanoid robots have started to find there place in institutions for children with special needs and Autism Spectrum Disorder (ASD) children therapy centers. Most of the humanoid robots are expensive, or come ...

    • Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems 

      Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( IEEE , 2014 , Conference)
      Electroencephalography (EEG) plays an intelligent role, especially EEG based health diagnosis of brain disorder, as well as brain-computer interface (BCI) applications. One such research field is related to epilepsy. The ...

    • Retinal image enhancement using Laplacian pyramidal multi-scaling 

      Khan, Sharifuzzaman; Qidwai, Uvais; Muhammad, Hamed; Qidwai, Umair ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)
      Early detection of retinal diseases is important to avoid complications and permanent vision loss. In this paper retinal neovascularization and molecular degeneration has been emphasized. Neovascularization is in form of ...

    • Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data 

      Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference)
      In this paper, a classification method is presented using an Fuzzy Inference Engine to detect the incidences of pre-seizures in real/raw Epilepsy data. The system distinguishes between 'Normal', 'Pre-Seizure' and 'Seizure' ...