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CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT network. For this purpose, numerous ...
A method of chained recommendation for charging piles in internet of vehicles
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Springer
, 2021 , Article)
With the popularization of new energy electric vehicles (EVs), the recommendation algorithm is widely used in the relatively new field of charge piles. At the same time, the construction of charging infrastructure is facing ...
RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
While the widespread use of ubiquitously connected devices in Internet of Everything (IoE) offers enormous benefits, it also raises serious privacy concerns. Federated learning, as one of the promising solutions to alleviate ...
Fog-Based Conditional Privacy-Preserving Data Batch Verification in Smart Grid
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The smart grid is already widespread for the purpose of managing energy generation and distribution. In this system, frequent interactions between devices generate mass data, which requires robust processing capability. ...
Contract and lyapunov optimization-based load scheduling and energy management for UAV charging stations
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Nowadays, a large number of civilian unmanned aerial vehicles (UAVs) are increasingly being used in many of our daily applications. However, there are many kinds of UAVs that need to enhance their endurance due to their ...
Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Mobile-edge computing (MEC) has emerged as a new computing paradigm with great potential to alleviate resource limitations attributed to mobile device users (MDUs) by offloading intensive computations to ubiquitous MEC ...
Hadoop Perfect File: A fast and memory-efficient metadata access archive file to face small files problem in HDFS
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Academic Press Inc.
, 2021 , Article)
HDFS faces several issues when it comes to handling a large number of small files. These issues are well addressed by archive systems, which combine small files into larger ones. They use index files to hold relevant ...
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
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Elsevier B.V.
, 2021 , Article)
Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ...
Introduction to the Special Section on Artificial Intelligence Security: Adversarial Attack and Defense
(
IEEE Computer Society
, 2021 , Other)
5G and beyond (B5G) networks are leading a digital revolution in telecommunication in both academia and industry. It brings new paradigms in many aspects of people's daily lives due to its advantages. However, it still ...
An Energy-Efficient In-Network Computing Paradigm for 6G
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
In the 6G network era, energy-efficient computing means higher resource utilization and lower energy consumption. The traditional computing model regards the network as a transmission pipeline and has not fully explored ...