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Adversarial samples on android malware detection systems for IoT systems
(
MDPI AG
, 2019 , Article)
Many IoT (Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware detection system for IoT devices has ...
Smart Edge Healthcare Data Sharing System
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Smart health systems improve the efficiency of healthcare infrastructures and biomedical systems by integrating information and technology into health and medical practices. However, reliability, scalabilty and latency are ...
Iterative per Group Feature Selection for Intrusion Detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Network security is an critical subject in any distributed network. Recently, machine learning has proven their efficiency for intrusion detection. By using a comprehensive dataset with multiple attack types, a well-trained ...
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Driven by the tremendous technological advancement of personal devices and the prevalence of wireless mobile network accesses, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a better viewers ...
Neuro-fuzzy analytics in athlete development (NueroFATH): a machine learning approach
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
Athletes represent the apex of physical capacity filling in a social picture of performance and build. In light of the fundamental contrasts in athletic capacities required for different games, each game demands an alternate ...
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu, and Twitch are gaining more momentum recently. Allocating the limited resources in a cost-effective manner while maximizing the ...
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. By using a comprehensive dataset with multiple attack types, a ...
Transcoding resources forecasting and reservation for crowdsourced live streaming
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
During the last decade, empowered by the technological advances of mobile devices and the revolution of wireless mobile network access, crowdsourced live streaming has become more popular. Ensuring a stable high-quality ...
Machine learning in the Internet of Things: Designed techniques for smart cities
(
Elsevier B.V.
, 2019 , Article)
Machine learning is one of the emerging technologies that has grabbed the attention of academicians and industrialists, and is expected to evolve in the near future. Machine learning techniques are anticipated to provide ...