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Detecting Attackers during Quantum Key Distribution in IoT Networks using Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ...
Securing IoT Cooperative Networks Using Energy Harvesting.
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
An energy efficient and secure Internet of Things (IoT) healthcare system is proposed in this paper. By exploiting spatial diversity, energy harvesting and physical layer security techniques, the proposed approach secures ...
A New Wearable ECG Monitor Evaluation and Experimental Analysis: Proof of Concept
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Electrocardiogram (ECG) is an electrical activity of the heart, which can be recorded by placing electrodes near heart or on the limbs. ECG is a vital body signal, which reflects the heart health condition. This paper ...
IoT Anti-Jamming Strategy Using Game Theory and Neural Network
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ...
Securing IoT Cooperative Networks Using Energy Harvesting.
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
An energy efficient and secure Internet of Things (IoT) healthcare system is proposed in this paper. By exploiting spatial diversity, energy harvesting and physical layer security techniques, the proposed approach secures ...
QoS-Aware Reliable Traffic Prediction Model under Wireless Vehicular Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
With the continuous progress of communication quality, the wireless vehicular networks (WVN) will surely be-come an inevitable part of future smart cities. Inside WVN where context is complicated and stochastic, quality ...
Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Training centralized machine learning (ML) models becomes infeasible in wireless networks due to the increasing number of internet of things (IoT) and mobile devices and the prevalence of the learning algorithms to adapt ...
BPFL: A Blockchain Based Privacy-Preserving Federated Learning Scheme
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Federated Learning (FL), which allows multiple participants to co-train machine Learning models without exposing local data, has been recognized as a promising method in the past few years. However, in the FL process, the ...
Understanding Digital Forensic Characteristics of Smart Speaker Ecosystems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
With a built-in intelligent personal voice assistant providing QA services, smart speaker ecosystems combine multiple compatible components, including the internet of things (IoT) technology, mobile devices, and cloud ...
A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These ...