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To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications
(
Elsevier B.V.
, 2020 , Article)
Traceability and autonomous business logic execution are highly desirable features in IoT monitoring applications. Traceability enables verifying signals history for security or analytical purposes. On the other hand, the ...
Optimizing Energy-Distortion Trade-off for Vital Signs Delivery in Mobile Health Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Healthcare is considered a top priority worldwide, considering the swift increase in the number of chronic patients who require continuous monitoring. This motivates the researchers to develop scalable remote health ...
Performance Analysis of PLS key generation-based Secure NOMA-enabled IoT Networks in the presence of Untrusted Users
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
In Internet of Things (IoT), a massive amount of sensitive data is generated and transmitted by IoT devices. Security risks represent a major concern in IoT, especially when using innovative techniques such as Non-Orthogonal ...
Traffic Analysis Attacks on Tor: A Survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The Tor anonymity network is one of the most popular and widely used tools to protect the privacy of online users. Tor provides defenses against multiple adversarial activities aiming to identify or trace the users. Traffic ...
Proportionally fair approach for tor's circuits scheduling
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The number of users adopting Tor to protect their online privacy is increasing rapidly. With a limited number of volunteered relays in the network, the number of clients' connections sharing the same relays is increasing ...
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
(
Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing ...
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 ...
Multi-layer security scheme for implantable medical devices
(
Springer
, 2020 , Article)
Internet of Medical Things (IoMTs) is fast emerging, thereby fostering rapid advances in the areas of sensing, actuation and connectivity to significantly improve the quality and accessibility of health care for everyone. ...
FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
With the advancement in personal smart devices and pervasive network connectivity, users are no longer passive content consumers, but also contributors in producing new contents. This expansion in live services requires a ...
3D GIS Interactive Visualization of the Archaeological Sites in Qatar for Research and Learning
(
International Association of Online Engineering
, 2022 , Article)
This work provides a proficient approach to coordinate archeological exercises, information administration, digital object representation, and spatial investigation. The proposed framework furnishes the client with the ...