Browsing Network & Distributed Systems by Title
Now showing items 32-51 of 54
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Oblique and rotation double random forest
( Elsevier Ltd , 2022 , Article)Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among them are the ensemble models’ core strength. ... -
Preface
( Institute of Physics , 2022 , Other)2022 2nd International Conference on Electron Devices and Applications was held virtually during May 13-15, 2022 via Zoom platform due to the pandemic of COVID-19. With a satisfactory ending of ICEDA 2021, ICEDA 2022 has ... -
A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks
( Elsevier Ltd. , 2022 , Article)Machine Type Communication (MTC) has been emerging for a wide range of applications and services for the Internet of Things (IoT). In some scenarios, a large group of MTC devices (MTCDs) may enter the communication coverage ... -
PriviPK: Certificate-less and secure email communication
( Elsevier Ltd , 2017 , Article)We introduce PriviPK, an infrastructure that is based on a novel combination of certificateless (CL) cryptography and key transparency techniques to enable e2e email encryption. Our design avoids (1) key escrow and deployment ... -
Quantifying Satisfaction of Security Requirements of Cloud Software Systems
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The satisfaction of a software requirement is commonly stated as a Boolean value, that is, a security requirement is either satisfied (true) or not (false). However, a discrete Boolean value to measure the satisfaction ... -
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
( Elsevier Ltd , 2022 , Article)Electric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes ... -
Real-time cooperative data routing and scheduling in software defined vehicular networks
( Elsevier B.V. , 2022 , Article)Links in vehicular networks are highly dynamic and generally exist only for a limited amount of time. Moreover, data packets are generally transmitted over multiple hops and have diverse latency requirements. The above ... -
Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering
( Elsevier Ltd , 2022 , Article)Random Vector Functional Link (RVFL) Networks have received a lot of attention due to the fast training speed as the non-iterative solution characteristic. Currently, the main research direction of RVFLs has supervised ... -
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Deep learning for electroencephalogram-based classification is confronted with data scarcity, due to the time-consuming and expensive data collection procedure. Data augmentation has been shown as an effective way to improve ... -
Secure smart contract-enabled control of battery energy storage systems against cyber-attacks
( Elsevier B.V. , 2019 , Article)Battery Energy Storage Systems (BESSs) are an integral part of a sustainable and resilient smart grid. The security of such critical cyber-physical infrastructure is considered as a major priority for both industry and ... -
Secure Vehicular Platoon Management against Sybil Attacks
( MDPI , 2022 , Article)The capacity of highways has been an ever-present constraint in the 21st century, bringing about the issue of safety with greater likelihoods of traffic accidents occurring. Furthermore, recent global oil prices have ... -
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning
( Elsevier Ltd , 2023 , Article)The reliable control of wave energy devices highly relies on the forecasts of wave heights. However, the dynamic characteristics and significant fluctuation of waves’ historical data pose challenges to precise predictions. ... -
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Since situation awareness (SA) plays an important role in many fields, the measure of SA is one of the most concerning problems. Using physiological signals to evaluate SA is becoming a popular research topic because of ... -
Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm
( Elsevier B.V. , 2022 , Article)To effectively deal with the operating uncertainties of protective relays and circuit breakers existing in the power system faults, an improved fault section diagnosis (FSD) method is proposed by using Takagi–Sugeno fuzzy ... -
The simultaneous impact of EV charging and PV inverter reactive power on the hosting distribution system's performance: A case study in kuwait
( MDPI AG , 2020 , Article)Recently, electric vehicles (EVs) have become an increasingly important topic in the field of sustainable transportation research, alongside distributed generation, reactive power compensation, charging optimization, and ... -
Threat-specific security risk evaluation in the cloud
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Existing security risk evaluation approaches (e.g., asset-based) do not consider specific security requirements of individual cloud computing clients in the security risk evaluation. In this paper, we propose a threat-specific ... -
ThreatRiskEvaluator: A Tool for Assessing Threat-Specific Security Risks in the Cloud
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In cloud computing, security risks posed to individual clients are different based on their specific security requirements. In current practice, cloud providers usually apply generic protection mechanisms that may not be ... -
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Time series forecasting remains a challenging task in data science while it is of great relevance to decision-making in various industries such as transportation, finance, electricity resource management, meteorology. ... -
Using block cipher for confidentiality of images in cloud-based systems
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper deals with outsourcing of computing to cloud servers where clients' images are computed and stored. It proposes a technique that obfuscates images before sending them to servers. Cloud servers can perform ... -
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Effective constraint handling techniques (CHTs) are of great significance for evolutionary algorithms (EAs) dealing with constrained optimization problems (COPs). To date, many CHTs, such as penalty function, superiority ...