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Budgeted online selection of candidate iot clients to participate in federated learning
(
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 ...
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 ...
Guest editorial: Special issue on enabling massive iot with 6g: Applications, architectures, challenges, and research directions
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Other)
[No abstract available]
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
(
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 ...
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques
(
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
(
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 ...
Privacy and security issues in online social networks
(
MDPI AG
, 2018 , Article)
The advent of online social networks (OSN) has transformed a common passive reader into a content contributor. It has allowed users to share information and exchange opinions, and also express themselves in online virtual ...
3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ...
Privacy Leakage in Smart Homes and Its Mitigation: IFTTT as a Case Study
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The combination of smart home platforms and automation apps introduce many conveniences to smart home users. However, this also brings the potential of privacy leakage. If a smart home platform is permitted to collect all ...