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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
NSL-KDD
biblio
DDoS Attack Detection and Botnet Prevention using Machine Learning
Submitted by grigby1 on Thu, 06/22/2023 - 2:09pm
composability
DDoS Attack Prevention
Resiliency
NSL-KDD
denial-of-service attack
botnet
flask
Compositionality
DDoS
Training
Computer crime
resilience
Metrics
pubcrawl
Support vector machines
machine learning
feature extraction
biblio
Analysis of Intrusion Detection Performance by Smoothing Factor of Gaussian NB Model Using Modified NSL-KDD Dataset
Submitted by grigby1 on Fri, 01/13/2023 - 12:51pm
Shape
zero-day detection
smoothing
Gaussian NB
smoothing methods
Security by Default
NSL-KDD
network intrusion detection
gaussian distribution
Support vector machines
Intrusion Detection
Scalability
Analytical models
Radio frequency
Resiliency
resilience
pubcrawl
biblio
A survey on Deep Learning based Intrusion Detection Systems on Internet of Things
Submitted by aekwall on Wed, 03/23/2022 - 9:35am
Intrusion Detection
deep learning
Training
Cloud Computing
Internet of Things
Internet of Things (IoT)
Scalability
Human behavior
Safety
CNN
intrusion detection system
pubcrawl
System performance
NSL-KDD
Social Agents
biblio
A Comprehensive Data Sampling Analysis Applied to the Classification of Rare IoT Network Intrusion Types
Submitted by grigby1 on Tue, 03/01/2022 - 4:14pm
Artificial Neural Networks
composability
Data Sampling
generative adversarial networks
Internet of Things
Intrusion Detection
machine learning
Measurement
Metrics
network intrusion
network intrusion detection
NSL-KDD
pubcrawl
resilience
Resiliency
biblio
Implementation of Network Attack Detection Using Convolutional Neural Network
Submitted by grigby1 on Mon, 01/10/2022 - 12:32pm
Intrusion Detection
security
Resiliency
resilience
pubcrawl
policy-based governance
NSL-KDD
Neural networks
Metrics
Intrusion Detection System (IDS)
artificial neural network
internet
Firewalls (computing)
deep learning (dl)
deep learning
cyber physical systems
convolutional neural networks
convolutional neural network (CNN)
collaboration
Artificial Neural Networks
biblio
Anomaly-based IDS to Detect Attack Using Various Artificial Intelligence Machine Learning Algorithms: A Review
Submitted by grigby1 on Fri, 04/09/2021 - 11:34am
IDS
Signature-based Intrusion Detection Systems & Anomaly-based Intrusion Detection Systems
NSL-KDD
multiple machine learning algorithms
machine learning algorithms
identifying attacks
ID
detect attack
current IDS
computer safety hazards
complex & increasing tasks
artificial intelligence & machine learning algorithms
anomaly-based IDS
accurate intrusion detection
learning (artificial intelligence)
cyber-attacks
resilience
computer networks
Attack detection
network security
composability
intrusion detection system
Artificial Intelligence
computer network security
Resiliency
pubcrawl
cyber security
security of data
biblio
Clustering Based Incident Handling For Anomaly Detection in Cloud Infrastructures
Submitted by aekwall on Mon, 03/01/2021 - 4:48pm
NSL-KDD
work factor metrics
run time metrics
nonclustering based algorithm
local outlier factor(LOF)
Kmeans
Isolation Forest algorithm
isolation forest
incident handling model
f-score
decision based approach
DBSCAN
clustering based algorithm
cloud infrastructures
anomaly detection mechanisms
Anomaly
security of data
cloud
Cloud Security
pattern clustering
Data mining
Anomaly Detection
Clustering algorithms
Prediction algorithms
pubcrawl
Resiliency
Protocols
Servers
Scalability
Cloud Computing
Monitoring
biblio
A novel network intrusion detection algorithm based on Fast Fourier Transformation
Submitted by aekwall on Mon, 05/11/2020 - 11:19am
image classification
representation learning
network intrusion detection algorithm
Matrix converters
intrusion detection problem
fast Fourier transforms
fast Fourier transformation
Discrete Fourier transforms
FFT
deep learning techniques
NSL-KDD dataset
NSL-KDD
CNN model
deep learning
computer network security
Image coding
Intrusion Detection
network traffic
convolutional neural networks
convolutional neural nets
CNN
network intrusion detection
Metrics
composability
pubcrawl
Resiliency
learning (artificial intelligence)
machine learning algorithms
biblio
Intrusion Detection Using Swarm Intelligence
Submitted by aekwall on Mon, 01/27/2020 - 10:26am
random neural network based system
mean squared error
multilayer perceptrons
Neural networks
Neurons
NSL-KDD
NSL-KDD Train
particle swarm optimization
Prediction algorithms
pubcrawl
mean square error methods
recurrent neural nets
Recurrent neural networks
RNN-ABC
sensitive information
SQL
SQL injection
Swarm Intelligence
Training
hybrid multilayer perceptron based intrusion detection system
Artificial Bee Colony
artificial bee colony algorithm
Biological neural networks
communication technologies
composability
Compositionality
computer network security
Cyber Attacks
Denial-of-Service
anomaly-based intrusion detection scheme
insecure channel
Internet of Things
Internet-of-Things devices
Intrusion Detection
IoT device
IoT security
learning (artificial intelligence)
man-in-middle
biblio
Applying Machine Learning to Anomaly-Based Intrusion Detection Systems
Submitted by aekwall on Mon, 01/20/2020 - 11:56am
NSL-KDD dataset
unsupervised anomaly traffic detection techniques
telecommunication traffic
Support vector machines
support vector machine
stochastic gradient decent
sequential model
security of data
Resiliency
regression analysis
random forests
random forest classifier
pubcrawl
anomaly-based Intrusion Detection Systems
NSL-KDD
Malicious Traffic
machine learning techniques
machine learning
logistic regression
intrusive traffics
Intrusion Detection systems (IDSs)
Intrusion Detection Systems
Internet-based traffic
internet
gradient methods
composability
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