تصفح Network & Distributed Systems حسب النوع "Conference"
السجلات المعروضة 1 -- 20 من 35
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3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)This paper proposes a novel hybridization of two metaheuristic algorithms to solve the real-parameter single objective numerical optimization problems. The proposed Three-stage Cyclic Hybrid SFS and L-SHADE (3-sCHSL) ... -
A Blockchain-Based Security Scheme for Vehicular Ad Hoc Networks in Smart Cities
( 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 ... -
A Practical Universal Consortium Blockchain Paradigm for Patient Data Portability on the Cloud Utilizing Delegated Identity Management
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)This paper presents a blockchain system that exploits the base modular features of the Hyperledger Fabric framework to allow for a new, patient-centric, practical data portability paradigm. The system empowers patients by ... -
A Reconfigurable Multipurpose SoC Mobile Platform for metal detection
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference)Background and Objectives One of the key problems in mobile robotics is the ability to understand and analyze the surrounding environment in a useful way. This is especially important in dangerous applications where human ... -
A Two-Stage Evolutionary Framework for Multi-Objective Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference)In the field of evolutionary multi-objective optimization, the approximation of the Pareto front (PF) is achieved by utilizing a collection of representative candidate solutions that exhibit desirable convergence and ... -
Adaptive Scaling for U-Net in Time Series Classification
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)Convolutional Neural Networks such as U-Net are recently getting popular among researchers in many applications, such as Biomedical Image Segmentation. U-Net is one of the popular deep Convolutional Neural Networks which ... -
Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Situation awareness (SA) plays a significant role in takeover transitions from autonomous to manual driving. Previous researchers have shown that eye movement signals can be used for SA recognition. Moreover, ensemble deep ... -
Almost BPXOR Coding Technique for Tolerating Three Disk Failures in RAID7 Architectures
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference)Redundant Array of Independent Disks (RAID) storage architectures provide protection of digital infrastructure against potential disks failures. For example, RAID-5 and RAID-6 architectures provide protection against one ... -
Android Malware Detection and Classification using Stacked Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)The widespread use of Android smartphones in daily life can be attributed to the extensive prevalence stemming from the Android OS and the availability of open-source applications. People have become accustomed to performing ... -
Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection
( Association for Computing Machinery , 2024 , Conference)Android devices are central to our daily lives, which leads to an increase in mobile security threats. Attackers try to exploit vulnerabilities and steal personal information from the installed applications on these devices. ... -
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)Class-incremental learning (CIL) on multivariate time series (MTS) is an important yet understudied problem. Based on practical privacy-sensitive circumstances, we propose a novel distillation-based strategy using a ... -
CloudSafe: A tool for an automated security analysis for cloud computing
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Cloud computing has been adopted widely, providing on-demand computing resources to improve performance and reduce operational costs. However, these new functionalities also bring new ways to exploit the cloud computing ... -
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Reservoir Computing (RC) is well-suited for simpler sequential tasks which require inexpensive, rapid training, and the Echo State Network (ESN) plays a significant role in RC. In this article, we proposed variations of ... -
Design and Implementation of a Threat-Specific Security Risk Assessment Tool
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Security threats posed to individual cloud computing clients vary depending on their specific security requirements. However, Cloud Providers apply generic security risk assessment approaches which result do not consider ... -
Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset Classification
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference)In our previous work, the random vector functional link network (RVFL) and the ensemble deep RVFL network (edRVFL) have been proven to be competitive for tabular-dataset classification, and their sparse pre-trained versions ... -
DQN based Blockchain Data Storage in Resource-constrained IoT System
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference)Applying blockchain technology in the Internet of Things (IoT) systems to realize massive data storage is a promising technology, which can eliminate the dependence of IoT on central servers and protect data security ... -
Echo state neural network based ensemble deep learning for short-term load forecasting
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Precise electricity load forecasts assist in planning, maintaining, and developing power systems. However, the electricity load's un-stationary and non-linear characteristics impose substantial challenges in anticipating ... -
Empirical performance evaluation of QUIC protocol for Tor anonymity network
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Tor's anonymity network is one of the most widely used anonymity networks online, it consists of thousands of routers run by volunteers. Tor preserves the anonymity of its users by relaying the traffic through a number of ... -
Empowering users of cloud computing on data confidentiality
( IEEE , 2014 , Conference)Cloud networking is an integral part of interconnected data centres operated in cloud environment. Cloud users heavily rely on cloud networking to transmit to and receive data from data centres. In this context, we explore ... -
An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)Real-life problems can be expressed as optimization problems. These problems pose a challenge for researchers to design efficient algorithms that are capable of finding optimal solutions with the least budget. Stochastic ...
