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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 Demand-Driven Incremental Deployment Strategy for Edge Computing in IoT Network
(
IEEE Computer Society
, 2022 , Article)
Edge Computing brings great opportunities to enable the Internet of Things (IoT) vision. But the physical edge server deployment problem still poses a major challenge, which dramatically affects the service ability and ...
A Mobile Charging Algorithm Based on Multicharger Cooperation in Internet of Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The Internet of Things (IoT) is a network of everything. In IoT, the charging problem of devices is an issue that needs urgent attention. Most previous studies about wireless charging algorithms are based on the ideal ...
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Since the emergence of digital and smart healthcare, the world has hastened to apply various technologies in this field to promote better health operation and patients' well being, increase life expectancy, and reduce ...
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 ...
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
(
Elsevier
, 2022 , Article)
Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ...
Budgeted online selection of candidate iot clients to participate in federated learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ...
A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The goal of intelligent transport systems (ITSs) is to enhance the network performance of vehicular ad hoc networks (VANETs). Even though it presents new opportunities to the Internet of Vehicles (IoV) environment, there ...
Blockchain-Based Auditable Privacy-Preserving Data Classification for Internet of Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Internet of Things (IoT) connects massive physical devices to capture and collect useful data, which are used to make accurate decisions by taking advantage of the machine learning techniques. However, the collected data ...
SILedger: A Blockchain and ABE-based Access Control for Applications in SDN-IoT Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The Software Defined Network in Internet of Things (SDN-IoT) is enjoying growing popularity due to its flexibility, automaticity and programmability. However, there is still a lack of proper permission management on SDN-IoT ...