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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 ...
An IoT-Based Framework for Elderly Remote Monitoring
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
This Paper presents an Internet of Things (IoT) based framework to monitor ECG for biometric recognition and acceleration for fall detection. To this end, an-IoT based Remote Elderly Monitoring System (REMS) platform is ...
A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article Review)
Mobile crowd-sensing (MCS) is a new sensing paradigm that takes advantage of the extensive use of mobile phones that collect data efficiently and enable several significant applications. MCS paves the way to explore new ...
The Internet of Things: A Review of Enabled Technologies and Future Challenges
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article Review)
The Internet of Things (IoT) is an emerging classical model, envisioned as a system of billions of small interconnected devices for posing the state-of-the-art findings to real-world glitches. Over the last decade, there ...
Trust management techniques for the internet of things: A survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
A vision of the future Internet is introduced in such a fashion that various computing devices are connected together to form a network called Internet of Things (IoT). This network will generate massive data that may be ...
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 ...