Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04557-3
Abstract: This study reviews and analyses the research landscape for intrusion detection systems (IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the gap in this pivotal research area. The focus is… read more here.
Keywords: analysis; deep learning; detection systems; intrusion detection ... See more keywords
The emergence of “truth machines”?: Artificial intelligence approaches to lie detection
Sign Up to like & getrecommendations! Published in 2022 at "Ethics and Information Technology"
DOI: 10.1007/s10676-022-09621-6
Abstract: This article analyzes emerging artificial intelligence (AI)-enhanced lie detection systems from ethical and human resource (HR) management perspectives. I show how these AI enhancements transform lie detection, followed with analyses as to how the changes… read more here.
Keywords: lie detection; detection systems; truth machines; detection ... See more keywords
A Neural Network-Based Learning Algorithm for Intrusion Detection Systems
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4663-8
Abstract: Recently, intrusion detection systems (IDS) have been introduced to effectively secure networks. Using neural networks and machine learning in detecting and classifying intrusions are powerful alternative solutions. In this research paper, both of Gradient descent… read more here.
Keywords: based learning; detection systems; neural network; intrusion detection ... See more keywords
Machine Learning Based Intrusion Detection Systems for IoT Applications
Sign Up to like & getrecommendations! Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-019-06986-8
Abstract: Internet of Things (IoT) and its applications are the most popular research areas at present. The characteristics of IoT on one side make it easily applicable to real-life applications, whereas on the other side expose… read more here.
Keywords: machine learning; iot applications; detection systems; intrusion detection ... See more keywords
A new evolutionary neural networks based on intrusion detection systems using locust swarm optimization
Sign Up to like & getrecommendations! Published in 2019 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-019-00199-5
Abstract: The need to avoid computer system breaches is increasing. Many researchers have adopted different approaches, such as intrusion detection systems (IDSs), to handle various threats. Intrusion detection has become an imperative system to detect various… read more here.
Keywords: optimization; locust swarm; intrusion detection; detection ... See more keywords
Fall detection monitoring systems: a comprehensive review
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-017-0592-3
Abstract: The increase in elderly population especially in the developed countries and the number of elderly people living alone can result in increased healthcare costs which can cause a huge burden on the society. With fall… read more here.
Keywords: detection monitoring; detection; fall detection; monitoring systems ... See more keywords
3D printed UV/VIS detection systems constructed from transparent filaments and immobilised enzymes
Sign Up to like & getrecommendations! Published in 2020 at "Additive manufacturing"
DOI: 10.1016/j.addma.2020.101094
Abstract: Abstract Transparent materials for fused filament fabrication printers are widely available and may be useful for constructing 3D printed devices with applications in UV/VIS spectroscopy. In this study, colourless polylactic acid, HD Glass and T-Glase… read more here.
Keywords: systems constructed; printed vis; constructed transparent; detection systems ... See more keywords
Leak detection systems in oil and gas fields: Present trends and future prospects
Sign Up to like & getrecommendations! Published in 2020 at "Flow Measurement and Instrumentation"
DOI: 10.1016/j.flowmeasinst.2020.101772
Abstract: Abstract Early leak detection of liquid and gas of both buried and unburied pipelines remain a critical task for economical and safety reasons. Several techniques were recently suggested and tested in real-life conditions and the… read more here.
Keywords: detection; leak detection; systems oil; detection systems ... See more keywords
Advances in gamma radiation detection systems for emergency radiation monitoring
Sign Up to like & getrecommendations! Published in 2020 at "Nuclear Engineering and Technology"
DOI: 10.1016/j.net.2020.03.014
Abstract: Abstract The study presents a review of research advancements in the field of gamma radiation detection systems for emergency radiation monitoring, particularly two major sub-systems namely (i) the radiation detector and (ii) the detection platform… read more here.
Keywords: radiation detection; detection systems; radiation monitoring; gamma radiation ... See more keywords
Detection Systems of Ultra-High-Resolution SEMs
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DOI: 10.1017/s1431927618003525
Abstract: For most current Scanning Electron Microscopes (SEM), the traditional Everhart-Thornley secondary electron (SE) detector and annular backscattered electron (BSE) detector are complemented with several detectors placed in the column. To choose the right system suitable… read more here.
Keywords: systems ultra; high resolution; resolution sems; ultra high ... See more keywords
An Explainable Machine Learning Framework for Intrusion Detection Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2988359
Abstract: In recent years, machine learning-based intrusion detection systems (IDSs) have proven to be effective; especially, deep neural networks improve the detection rates of intrusion detection models. However, as models become more and more complex, people… read more here.
Keywords: machine learning; intrusion detection; detection; detection systems ... See more keywords