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Detection of virtual private network traffic using machine learning
S Miller, K Curran, T Lunney - International Journal of Wireless …, 2020 - igi-global.com
The detection of unauthorized users can be problematic for techniques that are available at
present if the nefarious actors are using identity hiding tools such as anonymising proxies or …
present if the nefarious actors are using identity hiding tools such as anonymising proxies or …
A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning
I Kim, HJ Choi, JM Ryu, SK Lee, JH Yu, SW Kim… - European Journal of …, 2019 - Elsevier
Abstract Background Oncotype DX (ODX) is a 21-gene breast cancer recurrence score (RS)
assay that aids in decision-making for chemotherapy in early-stage hormone receptor …
assay that aids in decision-making for chemotherapy in early-stage hormone receptor …
[PDF][PDF] A review of cloud oriented mobile learning platform and frameworks
ASBM Noor, MNY Atoom, R Mamat - International Journal of …, 2019 - researchgate.net
With the continued growth of mobile devices usage, wireless communications improvement,
and cloud computing evolution, many educational institutions around the world, especially …
and cloud computing evolution, many educational institutions around the world, especially …
[PDF][PDF] Classification of cyber attack using machine learning technique at microsoft azure cloud
R Chourasiya, V Patel, A Shrivastava - Int. Res. J. Eng. Appl. Sci, 2018 - irjeas.org
Security of valuable information is always a very essential issue for modern digital world.
Intrusion Detection System (IDS) and many security techniques is widely used against cyber …
Intrusion Detection System (IDS) and many security techniques is widely used against cyber …
Network Security with Network Intrusion Detection System using Machine Learning Deployed in a Cloud Infrastructure
C Kaushik, T Ram, C Ritvik… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
A software/device which monitors the network or the internet for any cyber-attack or
malicious activity is called Network Intrusion Detection System (NIDS). The conventional …
malicious activity is called Network Intrusion Detection System (NIDS). The conventional …
Ag-mic: Azure-based generalized flow for medical image classification
S Roychowdhury, M Bihis - IEEE Access, 2016 - ieeexplore.ieee.org
Medical image-based research requires heavy computational workload associated with
image analysis and collaborative device independent platforms to incorporate expert …
image analysis and collaborative device independent platforms to incorporate expert …
[PDF][PDF] Convergence of cloud computing, internet of things, and machine learning: The future of decision support systems
The objective of this research was to develop a framework for understanding the
Convergence of Cloud Computing, Machine Learning, and Internet of Things as the future of …
Convergence of Cloud Computing, Machine Learning, and Internet of Things as the future of …
Traffic classification for the detection of anonymous web proxy routing
There is an increasing need to be able to classify whether an incoming packet is from a
legitimate originating IP address or has been modified through an intermediate proxy or …
legitimate originating IP address or has been modified through an intermediate proxy or …
Design and simulation of loan approval prediction model using AWS platform
To determine and to understand the working of loan systems for the cause of Loan
Prediction using the demographic information of various factors that combine to form the …
Prediction using the demographic information of various factors that combine to form the …
[PDF][PDF] Cyber Attack Detection and Classification Using Mahcine Learning Technique Using Microsoft Azure Cloud
R Pohekari, V Patel, A Shrivastava - International Research Journal of …, 2017 - irjeas.org
Information security is always a very important issue for modern computer world. Intrusion
Detection System (IDS) as the security technique and is widely used against intrusions …
Detection System (IDS) as the security technique and is widely used against intrusions …