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Performance Analysis of IoT Physical layer Security Using 3-D Stochastic Geometry
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The internet of things (IoT) is becoming part of the infrastructure supporting various services in every day's life. Due to the complex nature of IoT systems with heterogeneous devices, the needed security and privacy ...
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 ...
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 ...
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 ...
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 ...
A survey of blockchain enabled cyber-physical systems
(
MDPI AG
, 2020 , Article Review)
Cyber-physical systems (CPS) is a setup that controls and monitors the physical world around us. The advancement of these systems needs to incorporate an unequivocal spotlight on making these systems efficient. Blockchains ...