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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
NSL-KDD dataset
biblio
An intrusion detection system integrating network-level intrusion detection and host-level intrusion detection
Submitted by grigby1 on Tue, 02/23/2021 - 1:46pm
composability
scalable neural-network-based hybrid IDS framework
network-level intrusion detection
IDS field
host-level intrusion detection
host-level IDS
cyber-attackers
ADFA dataset
NSL-KDD dataset
software quality
Scalability
network intrusion detection
neural network
software reliability
cyber-attacks
learning (artificial intelligence)
Computer crime
intrusion detection system
cyber security
computer network security
Resiliency
resilience
Metrics
pubcrawl
Intrusion Detection
convolutional neural nets
Data mining
security
machine learning
biblio
Machine and Deep Learning Based Comparative Analysis Using Hybrid Approaches for Intrusion Detection System
Submitted by grigby1 on Wed, 01/20/2021 - 3:22pm
performance indicator metrics
learning (artificial intelligence)
machine learning
Naive Bayes Classifiers
nearest neighbour methods
network security threats
neural nets
NSL-KDD dataset
pattern classification
K-NN
pubcrawl
resilience
Resiliency
security of data
self-learning-based classification algorithms
Support vector machines
vulnerable source code
hybrid feature selection
APIs
application programming interface
Bayes methods
CIDDS-001 dataset
Compositionality
cyber security
cybersecurity organizations
deep learning
API
IDS
internet
intranet
intranets
Intrusion Detection
intrusion detection system
Intrusion Detection System (IDS)
biblio
Research on Intrusion Detection Based on Improved DBN-ELM
Submitted by aekwall on Mon, 08/24/2020 - 12:37pm
pattern classification
majority voting
Deep confidence network
DBN-ELM
classifier
Deep Belief Network
extreme learning machine
NSL-KDD dataset
belief networks
feedforward neural nets
Training
Intrusion Detection
Neurons
classification
composability
pubcrawl
Resiliency
feature extraction
machine learning algorithms
Classification algorithms
security of data
biblio
DDoS Intrusion Detection Through Machine Learning Ensemble
Submitted by aekwall on Mon, 06/29/2020 - 11:46am
Human behavior
Support vector machines
robust defense mechanism
Resiliency
reduced feature set
pubcrawl
prominent attacks
NSL-KDD dataset
NIDS approach
network intrusion detection system
Metrics
machine learning ensemble
machine learning
learning (artificial intelligence)
intrusion detection system
Intrusion Detection
Artificial Neural Networks
feature extraction
ensemble models
Ensemble Machine Learning
emerging DDoS attack patterns
domain-knowledge
distributed denial of service attacks
DDoS Intrusion Detection
DDoS Attacks
DDoS attack detection
DDoS
Data models
computer network security
Computer crime
composability
biblio
A novel network intrusion detection algorithm based on Fast Fourier Transformation
Submitted by aekwall on Mon, 05/11/2020 - 10:19am
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
Performance Comparison of Intrusion Detection System Between Deep Belief Network (DBN)Algorithm and State Preserving Extreme Learning Machine (SPELM) Algorithm
Submitted by aekwall on Mon, 05/11/2020 - 10:18am
pedestrian detection
machine learning algorithms
machine learning classifier
Metrics
network intrusion detection
NSL- KDD dataset
NSL-KDD dataset
object detection
pattern classification
learning (artificial intelligence)
pedestrians
security of data
SPELM algorithm
state preserving extreme learning machine algorithm
State Preserving Extreme Learning Machine(SPELM)
testing
Training
DBN algorithm
pubcrawl
composability
Resiliency
Anomaly Detection
Classification algorithms
Computational modeling
cyber security
Data models
belief networks
Deep Belief Network
deep belief network algorithm
face recognition
feature extraction
feedforward neural nets
Intrusion Detection
intrusion detection system
biblio
An Intrusion Detection System using Opposition based Particle Swarm Optimization Algorithm and PNN
Submitted by aekwall on Mon, 01/27/2020 - 9:26am
probability
Probabilistic Neural Network
OPSO
NSL KDD dataset
intrusion detection models
IDS model
feedforward neural net algorithms
Feed Forward Network
artificial neural network
ANN
NSL-KDD dataset
Compositionality
feedforward neural nets
Biological neural networks
Artificial Neural Networks
security of data
Intrusion Detection
Feeds
Neurons
Swarm Intelligence
particle swarm optimization algorithm
particle swarm optimization
particle swarm optimisation
Computational modeling
composability
pubcrawl
learning (artificial intelligence)
network security
intrusion detection system
biblio
Applying Machine Learning to Anomaly-Based Intrusion Detection Systems
Submitted by aekwall on Mon, 01/20/2020 - 10:56am
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
