Browsing Network & Distributed Systems by Title
Now showing items 46-65 of 65
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Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The rapid evolutions in microcomputing, mini-hardware manufacturing, and machine-to-machine (M2M) communications have enabled novel Internet-of-Things (IoT) solutions to reshape many networking applications. Healthcare ... -
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 ... -
A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption
( Elsevier B.V. , 2021 , Article)Data security is a challenge for end-users of cloud services as the users have no control over their data once it is transmitted to the cloud. A potentially corrupt cloud service provider can obtain the end-users’ data. ... -
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 ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
( Elsevier B.V. , 2022 , Article)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
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 ... -
A Testbed Implementation of a Biometric Identity-Based Encryption for IoMT-enabled Healthcare System
( Association for Computing Machinery , 2021 , Conference Paper)Historically, health data was stored locally on the hospital's server as patient health records, and we had to rely on the planned check-up during doctor's visits. Now, we can monitor health continuously and in real-time. ... -
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 ... -
Watermarking: A review of software and hardware techniques
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Watermarking is a well-known technique traditionally used in banknotes and other documents to discourage counterfeiting. It usually consists of semi-transparent symbols embedded on paper. Similar concepts were applied to ... -
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
( Elsevier Ltd , 2022 , Article)In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose ... -
Wireless Network Slice Assignment with Incremental Random Vector Functional Link Network
( IEEE Computer Society , 2022 , Article)This paper presents an artificial intelligence-assisted network slice prediction method, which utilizes a novel incremental random vector functional link (IRVFL) network to deal with the wireless network slice assignment ...