A comprehensive survey and taxonomy of the SVM-based intrusion detection systems
The increasing number of security attacks have inspired researchers to employ various
classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection …
classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection …
A survey and taxonomy of the fuzzy signature-based intrusion detection systems
M Masdari, H Khezri - Applied Soft Computing, 2020 - Elsevier
Organizations that benefit from information technologies are vulnerable to various attacks
and malicious behaviors. Intrusion Detection Systems (IDS) are one of the main lines of …
and malicious behaviors. Intrusion Detection Systems (IDS) are one of the main lines of …
Analysis of support vector machine-based intrusion detection techniques
BS Bhati, CS Rai - Arabian Journal for Science and Engineering, 2020 - Springer
From the last few decades, people do various transaction activities like air ticket reservation,
online banking, distance learning, group discussion and so on using the internet. Due to …
online banking, distance learning, group discussion and so on using the internet. Due to …
Intrusion detection system based on hybrid hierarchical classifiers
N Mohd, A Singh, HS Bhadauria - Wireless Personal Communications, 2021 - Springer
According to this research work, the updated KDD-99 database is considered for the
enlargement of hybrid hierarchical intrusion detection system (IDS). A total set of 4,898,431 …
enlargement of hybrid hierarchical intrusion detection system (IDS). A total set of 4,898,431 …
Development of IDS using supervised machine learning
In the era of modern lifestyle, the internet and networking are essential things for everyone.
With the help these facilities everyone can exchange information between intranet and …
With the help these facilities everyone can exchange information between intranet and …
Nondestructive detection of Pleurotus geesteranus strain degradation based on micro-hyperspectral imaging and machine learning
X Wei, S Liu, C Xie, W Fang, C Deng, Z Wen… - Frontiers in Plant …, 2023 - frontiersin.org
In the production of edible fungi, the use of degraded strains in cultivation incurs significant
economic losses. Based on micro-hyperspectral imaging and machine learning, this study …
economic losses. Based on micro-hyperspectral imaging and machine learning, this study …
A comprehensive survey on fuzzy-based intelligent intrusion detection system for internet of things
U Nandhini, SVNS Kumar - International Journal of …, 2023 - inderscienceonline.com
Internet of things (IoT) is rapidly expanding, and it is having a greater impact on daily life.
The internet of things is widely applied in a wide range of industries, from small to large. IoT …
The internet of things is widely applied in a wide range of industries, from small to large. IoT …
Multidimensional Medical Imaging Analysis Alzheimer's Disease via Image Processing and Machine Learning: A Review, Diagnosis and Challenges
A Tiwari - Proceedings of the International Conference on …, 2020 - papers.ssrn.com
Alzheimer ailment is forward moving mind issue dementia, neurodegenerative, irreversible
infection. Dementia is fundamental driver of Alzheimer's sickness which impact the day by …
infection. Dementia is fundamental driver of Alzheimer's sickness which impact the day by …
[PDF][PDF] Classification of Alzheimer's MRI Scans using Convolutional Neural Networks
Alzheimer's disease is an irreversible, progressive brain disorder that slowly destroys
memory and thinking skills. Image processing and deep learning are widely used in the …
memory and thinking skills. Image processing and deep learning are widely used in the …