Results 251 to 260 of about 716,322 (331)

Consumed by Abdominal Distention

open access: yes
Arthritis Care &Research, EarlyView.
Abimbola Fadairo‐Azinge   +3 more
wiley   +1 more source

A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection

IEEE Communications Surveys and Tutorials, 2019
Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches.
Preeti Mishra   +2 more
exaly   +2 more sources

Machine Learning Based Intrusion Detection System

2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2023
In today's digital landscape, the increasing frequency and sophistication of cyberattacks have highlighted the necessity for robust intrusion detection systems (IDS) to safe- guard sensitive data and critical infrastructure.
R. Udayakumar   +4 more
semanticscholar   +1 more source

ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets

IEEE Internet of Things Journal, 2021
The Internet of Things (IoT) is reshaping our connected world as the number of lightweight devices connected to the Internet is rapidly growing. Therefore, high-quality research on intrusion detection in the IoT domain is essential.
Tim M. Booij   +4 more
semanticscholar   +1 more source

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