Detecting unknown encrypted malicious traffic in real time via flow interaction graph analysis
In this paper, we propose HyperVision, a realtime unsupervised machine learning (ML)
based malicious traffic detection system. Particularly, HyperVision is able to detect unknown …
based malicious traffic detection system. Particularly, HyperVision is able to detect unknown …
A deep learning method to detect network intrusion through flow‐based features
A Pektaş, T Acarman - International Journal of Network …, 2019 - Wiley Online Library
In this paper, we present a deep neural network model to enhance the intrusion detection
performance. A deep learning architecture combining convolution neural network and long …
performance. A deep learning architecture combining convolution neural network and long …
Toward energy-efficient and trustworthy eHealth monitoring system
The rapid technological convergence between Internet of Things (IoT), Wireless Body Area
Networks (WBANs) and cloud computing has made e-healthcare emerge as a promising …
Networks (WBANs) and cloud computing has made e-healthcare emerge as a promising …
Proactive measures to mitigate cyber security challenges in IoT based smart healthcare networks
R Marshal, K Gobinath, VV Rao - 2021 IEEE International IOT …, 2021 - ieeexplore.ieee.org
The wide range of applications and advantages offered by the Internet of Things has
attracted every sector to deploy it in their environment to exploit its advantages. The …
attracted every sector to deploy it in their environment to exploit its advantages. The …
Security in IoMT‐driven smart healthcare: A comprehensive review and open challenges
Abstract The Internet of Medical Things (IoMT) is a kind of communication environment,
which deals with communication that occurs through the Internet of Things (IoT)‐enabled …
which deals with communication that occurs through the Internet of Things (IoT)‐enabled …
Syndrome: Spectral analysis for anomaly detection on medical iot and embedded devices
Recent advances in embedded and IoT (internet-of-things) technologies are rapidly
transforming health-care solutions and we are headed to a future of smaller, smarter …
transforming health-care solutions and we are headed to a future of smaller, smarter …
Pelican: A deep residual network for network intrusion detection
One challenge for building a secure network communication environment is how to
effectively detect and prevent malicious network behaviours. The abnormal network …
effectively detect and prevent malicious network behaviours. The abnormal network …
Improved wireless medical cyber-physical system (IWMCPS) based on machine learning
A Alzahrani, M Alshehri, R AlGhamdi, SK Sharma - Healthcare, 2023 - mdpi.com
Medical cyber-physical systems (MCPS) represent a platform through which patient health
data are acquired by emergent Internet of Things (IoT) sensors, preprocessed locally, and …
data are acquired by emergent Internet of Things (IoT) sensors, preprocessed locally, and …
A lightweight replay attack detection framework for battery depended IoT devices designed for healthcare
P Rughoobur, L Nagowah - 2017 international conference on …, 2017 - ieeexplore.ieee.org
Internet of things can be summarized as all physical objects connected to the Internet and
being able to identify themselves to other digital devices, with the intent of facilitating …
being able to identify themselves to other digital devices, with the intent of facilitating …
Knock! knock! who is there? investigating data leakage from a medical internet of things hijacking attack
Abstract The amalgamation of Medical Internet of Things (MIoT) devices into everyday life is
influencing the landscape of modern medicine. The implementation of these devices …
influencing the landscape of modern medicine. The implementation of these devices …