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Toward SLAs Guaranteed Scalable VDC Provisioning in Cloud Data Centers
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Cloud computing has been a cost-efficient paradigm for deploying various applications in datacenters in recent years. Therefore, efficient provisioning for virtual data center (VDC) requests from different service providers ...
Location privacy preservation for mobile users in location-based services
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Because location-based cyber services are increasingly found in mobile applications (e.g., social networking and maps), user location privacy preservation is essential and remains one of the several ongoing research ...
Resource allocation in information-centric wireless networking with D2D-enabled MEC: A deep reinforcement learning approach
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Recently, information-centric wireless networks (ICWNs) have become a promising Internet architecture of the next generation, which allows network nodes to have computing and caching capabilities and adapt to the growing ...
Energy-Aware Blockchain and Federated Learning-Supported Vehicular Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The aerial capabilities and flexibility in movement of Unmanned Aerial Vehicles (UAVs) has enabled them to adaptively provide both traditional and more contemporary services. In this article, we introduce a solution that ...
Multidata-Owner Searchable Encryption Scheme over Medical Cloud Data with Efficient Access Control
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Several schemes have been proposed to enable cloud servers to search encrypted medical data to preserve patients' privacy. However, the existing schemes use inefficient attribute-based encryption (ABE) approaches for access ...
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Mobile edge computing (MEC) has been considered as a promising technology to provide seamless integration of multiple application services. Federated learning (FL) is carried out at edge clients in MEC for privacy-preserving ...
AI-based Intrusion Detection for Intelligence Internet of Vehicles
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With the development of intelligent technologies, Internet of Things (IoT) opens up a new era in the field of automotive networks, namely Internet of Vehicles (IoV). The main goal of IoV is to provide a secure and reliable ...
Res6Edge: An Edge-AI Enabled Resource Sharing Scheme for C-V2X Communications towards 60
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The paper proposes a sixth-generation (6G)-enabled cellular vehicle-to-anything (C-V2X)-based scheme, ResóEdge, that supports high-data ingestion rate through artificial intelligence (AI) models at edge nodes, or Edge-AI. ...
Toward Safer Vehicular Transit: Implementing Deep Learning on Single Channel EEG Systems for Microsleep Detection
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Technological interventions are becoming commonplace in everyday vehicles. But utilization of biosignals that can enhance the overall driving experience is still limited. Microsleep is one such issue that needs intervention, ...
LightTrust: Lightweight Trust Management for Edge Devices in Industrial Internet of Things
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The phenomenal increase in the usage of Internet promotes the quality of trust in the scope of Internet of Things (IoT). Trust is beneficial in the provision of an effective, reliable, scalable, and trustworthy environment ...