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On Physical Layer Security in Energy-Efficient Wireless Health Monitoring Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
In this paper, we investigate a multi-objective optimization framework for secure wireless health monitoring applications. In particular, we consider a legitimate link for the transmission of a vital EEG signal, threatened ...
Automated class-based compression for real-time epileptic seizure detection
(
IEEE Computer Society
, 2018 , Conference Paper)
The emergence of next generation wireless networking technologies has motivated a paradigm shift in development of viable mobile-Health applications for ubiquitous real-time healthcare monitoring. However, remote healthcare ...
EdgeHealth: An Energy-Efficient Edge-based Remote mHealth Monitoring System
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Promoting smart and scalable remote health monitoring systems is challenging due to the enormous amount of collected data that needs to be processed and transferred given the limited network resources and battery-operated ...
Salt Generation for Hashing Schemes based on ECG readings for Emergency Access to Implantable Medical Devices
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Secure communication in medical devices is a pillar in ensuring patient's safety. However, in emergency cases, this can hinder the recovery of the patient. If an emergency team cannot give themselves access to the IMD ...
Light-Weight Solution to Defend Implantable Medical Devices against Man-In-The-Middle Attack
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Nowadays, Implantable Medical Devices (IMDs) rely mainly on wireless technology for information exchange. In spite of the many advantages wireless technology offers to patients in terms of efficiency, speed and ease; it ...
High performance EEG feature extraction for fast epileptic seizure detection
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Epilepsy is a neurological disorder that affects around 70 million people worldwide. Early detection of epileptic seizures has the potential to help patients in improving their quality of life. Electroencephalogram (EEG) ...
Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Recently, the growing demand for rich multimedia content such as Video on Demand (VoD) has made the data transmission from content delivery networks (CDN) to end-users quite challenging. Edge networks have been proposed ...
TangleCV: Decentralized Technique for Secure Message Sharing in Connected Vehicles
(
Association for Computing Machinery, Inc
, 2019 , Conference Paper)
Connected vehicles are designed to make informed safety-related decisions based on data/information they receive from various on-board sensors and other vehicles in the vicinity. However, attacks directed towards on-board ...
A cooperative Q-learning approach for online power allocation in femtocell networks
(
IEEE
, 2013 , Conference Paper)
In this paper, we address the problem of distributed interference management of cognitive femtocells that share the same frequency range with macrocells using distributed multiagent Q-learning. We formulate and solve three ...
Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
(
IEEE
, 2013 , Conference Paper)
Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ...