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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Classification algorithms
biblio
A Hybrid Technique To Detect Botnets, Based on P2P Traffic Similarity
Submitted by
aekwall
on Mon, 04/06/2020 - 10:14am
botnet
Computer crime
computer network security
IP networks
telecommunication traffic
Protocols
invasive software
Classification algorithms
machine learning algorithms
transport protocols
network security
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Peer-to-peer computing
Metrics
pattern classification
machine learning techniques
machine learning classifiers
Anomaly Detection
network traffic
Scalability
Human Factors
hypermedia
Botnet detection
conversation features
data flow features
DNS query
flow counting
flow similarity
hybrid technique
malicious services
multiple malicious codes
non-P2P traffic filtering mechanism
P2P botnet traffic detection
P2P traffic identification
P2P traffic similarity
peer-to-peer botnets
phishing links
two-stage detection method
two-stage traffic classification method
peer to peer security
biblio
Research on Network Malicious Code Detection and Provenance Tracking in Future Network
Submitted by
aekwall
on Mon, 04/06/2020 - 9:56am
computer network security
malware
security
invasive software
Classification algorithms
machine learning algorithms
SDN network
network security
feature extraction
Feature Selection
Resiliency
pubcrawl
composability
Computational modeling
pattern classification
Analytical models
mobile network
software defined networking
classification algorithm
Predictive Metrics
cyber physical systems
network coding
Behavior features
detection method
feature selection methods
host node
malicious code detection
malware detection system
matching classification method
Mobile communication
network controller
network malicious code detection
optimal feature subset
propagation model
switch node
biblio
Ransomware detection using process mining and classification algorithms
Submitted by
aekwall
on Mon, 03/23/2020 - 1:25pm
Classification algorithms
composability
computing power
Data mining
detection ransomwares
feature extraction
internet
Internet users
invasive software
J48
Metrics
pattern classification
process mining
process mining methods
process model
pubcrawl
Random Forest
random forest algorithms
Ransomware
ransomware attacks
ransomware detection
Resiliency
biblio
Artificial Neural Networks Optimized with Unsupervised Clustering for IDS Classification
Submitted by
grigby1
on Thu, 03/12/2020 - 12:03pm
signature based defense
pubcrawl
Artificial Neural Networks
Classification algorithms
Clustering algorithms
Data models
Intrusion Detection
machine learning
resilience
Resiliency
Scalability
Support vector machines
Traffic classification
x-means
biblio
The Security Evaluation of Big Data Research for Smart Grid
Submitted by
aekwall
on Mon, 02/17/2020 - 2:17pm
technological development
Scalability
Big Data
security
Classification algorithms
Resiliency
pubcrawl
privacy
Metrics
Reliability
machine learning
data analysis
smart power grids
smart grid security
power engineering computing
Smart Grids
power system security
Big Data Analytics
smart grid system
Big Data method
Big Data research
big data technologies
smart grid attacks
biblio
Content Adaptive Image Steganalysis in Spatial Domain Using Selected Co-Occurrence Features
Submitted by
grigby1
on Mon, 02/10/2020 - 11:42am
boosted classifiers
candidate features
Classification algorithms
co-occurrence feature
composability
content adaptive
content adaptive image steganalysis
Databases
Detectors
feature extraction
Feature Selection
feature selection procedure
final detector
general content adaptive image steganography detector
generalization power
Haar transforms
Histograms
image classification
Image edge detection
image steganalysis
LBP features
local co-occurrence features
local image region
Metrics
microsoft windows
primary content adaptive stego algorithms
privacy
pubcrawl
selected co-occurrence features
Spatial domain
Steganography
steganography detection
weak classifier
biblio
An Effective Swarm Optimization Based Intrusion Detection Classifier System for Cloud Computing
Submitted by
aekwall
on Mon, 01/27/2020 - 10:25am
ABC algorithm
Artificial Bee Colony
artificial bee colony algorithm
Artificial Intelligence
Classification algorithms
Cloud Computing
cloud computing environment
Communication Systems
composability
Compositionality
computer network security
DoS attack
effective classifier
effective swarm optimization based intrusion detection classifier system
Flooding Attack
foraging characteristics
Intrusion detection classifier
numerical problems
optimization
particle swarm optimisation
particle swarm optimization
pubcrawl
replay attack
Swarm Intelligence
Swarm intelligence algorithm
Swarm Intelligence Optimization
swarm optimization algorithms
Task Analysis
biblio
Network Intrusion Detection using Supervised Machine Learning Technique with Feature Selection
Submitted by
aekwall
on Mon, 01/27/2020 - 10:20am
security of data
Classification algorithms
machine learning algorithms
Support vector machines
support vector machine
feature extraction
Feature Selection
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
composability
deep learning
neural nets
pattern classification
network intrusion detection
machine learning techniques
neural network
network traffic
Artificial Neural Networks
Signal processing algorithms
Predictive Metrics
intrusion
artificial neural network based machine
intrusion detection success rate
supervised learning algorithm
supervised machine learning technique
wrapper feature selection
biblio
Intrusion Detection Systems with Deep Learning: A Systematic Mapping Study
Submitted by
aekwall
on Mon, 01/20/2020 - 11:56am
Artificial Neural Networks
Classification algorithms
composability
Computational modeling
Databases
deep learning
deep learning algorithms
Intrusion Detection
Intrusion Detection Systems
learning (artificial intelligence)
neural nets
pubcrawl
Resiliency
security of data
systematic mapping method
systematic mapping study
Systematics
biblio
Feature extraction using Deep Learning for Intrusion Detection System
Submitted by
aekwall
on Mon, 01/20/2020 - 11:56am
Classification algorithms
composability
computational intelligence
Data mining
deep learning
deep learning system
feature extraction
fully trainable system
Intrusion Detection
intrusion detection system
Intrusion Detection Systems
learning (artificial intelligence)
learning models
machine learning research
principal component analysis
pubcrawl
Resiliency
security of data
smart intrusion detection system
Web system
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