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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
network traffic
biblio
Classification of Network Traffic Using Generative Adversarial Networks
Submitted by grigby1 on Wed, 11/02/2022 - 12:57pm
Training
machine learning
security
pubcrawl
Metrics
resilience
Resiliency
Scalability
telecommunication traffic
network traffic
network security
Cybersecurity
Complexity theory
generative adversarial networks
Generative Adversarial Learning
denial-of-service attack
biblio
Identification of Ransomware families by Analyzing Network Traffic Using Machine Learning Techniques
Submitted by aekwall on Thu, 07/14/2022 - 4:20pm
Classification algorithms
composability
Computer hacking
feature extraction
machine learning
machine learning algorithms
Metrics
network traffic
Protocols
pubcrawl
Ransomware
ransomware attacks
ransomware families
Resiliency
telecommunication traffic
biblio
API-Based Ransomware Detection Using Machine Learning-Based Threat Detection Models
Submitted by aekwall on Thu, 07/14/2022 - 4:20pm
privacy
machine learning
Analytical models
feature extraction
Metrics
Resiliency
composability
Ransomware
ransomware detection
API calls
telecommunication traffic
Nonhomogeneous media
pubcrawl
network traffic
ransomware attacks
ransomware families
biblio
Network Traffic Analysis for Real-Time Detection of Cyber Attacks
Submitted by grigby1 on Tue, 07/12/2022 - 3:37pm
network traffic
Cyber Dependencies
network forensics
DVWA
Web servers
insider attack
cyberattack
Python
Compositionality
Metrics
real-time systems
Organizations
composability
Standards organizations
telecommunication traffic
Scalability
Resiliency
resilience
Human behavior
pubcrawl
Monitoring
biblio
A Machine Learning based Threat Intelligence Framework for Industrial Control System Network Traffic Indicators of Compromise
Submitted by aekwall on Thu, 06/09/2022 - 11:39am
industrial control
scalable systems
network traffic
IOC
indicators of compromise
ICs
industrial control system
threat intelligence
critical infrastructure
integrated circuits
control systems
Decision trees
telecommunication traffic
Industrial Control Systems
Resiliency
Scalability
pubcrawl
machine learning
biblio
Using Deep learning for network traffic prediction to secure Software networks against DDoS attacks
Submitted by grigby1 on Wed, 04/13/2022 - 2:56pm
network traffic
DDoS Attack Prevention
software-defined network
Systems architecture
denial-of-service attack
DDoS Attack
Internet of Things
Metrics
Memory management
deep learning
composability
telecommunication traffic
Software
Resiliency
resilience
Human behavior
pubcrawl
feature extraction
biblio
Reducing Processing Delay and Node Load Using Push-Based Information-Centric Networking
Submitted by aekwall on Thu, 04/08/2021 - 4:31pm
information-centric networking
specific content
returns data
push-type communication method
push-based information-centric networking
pull-type communication method
packet processing delay time
node load
contents deliver
content distribution method
faces
edge node
Information Centric Networks
named data networking
Scalability
ICN
delays
Load modeling
Routing protocols
network traffic
telecommunication network routing
Distributed databases
internet
Routing
pubcrawl
Resiliency
telecommunication traffic
Servers
biblio
Simplified Method for Fast and Efficient Incident Detection in Industrial Networks
Submitted by grigby1 on Tue, 03/30/2021 - 11:51am
industrial network
testing
telecommunication traffic
standards
simplified method
security incident detection
security
Scalability
Resiliency
resilience
pubcrawl
Protocols
network traffic
Modbus protocol
machine learning
intrusion detection system
Anomaly Detection
industrial Modbus protocol
IDS system Zeek
IDS
identified signature recognition
identified anomaly recognition
ICS Anomaly Detection
ICs
fast incident detection
efficient incident detection
DoS Attack Detection
DNP3 protocol
distributed network protocol 3
digital signatures
computer network security
biblio
A Learning-based Data Augmentation for Network Anomaly Detection
Submitted by aekwall on Mon, 03/29/2021 - 11:58am
divide-augment-combine strategy
sampling methods
class imbalance problem
network anomaly detection
attack instances
augments data
data augmentation
data instances
Divide-Augment-Combine
Gallium nitride
generative adversarial model
high-quality data
learning-based data augmentation
network traffic traces
public network datasets
statistical sampling
synthetic instances
Generative Adversarial Learning
pattern classification
Scalability
Data models
Support vector machines
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
neural nets
security of data
Anomaly Detection
network traffic
Generators
generative adversarial networks
generative adversarial network
Predictive Metrics
data handling
biblio
IoT Botnet Malware Classification Using Weka Tool and Scikit-learn Machine Learning
Submitted by grigby1 on Tue, 03/09/2021 - 2:25pm
Resiliency
machine learning
machine learning algorithms
malware
malware attack
Metrics
network traffic
packet traffic
pubcrawl
resilience
learning (artificial intelligence)
scikit-learn
Scikit-learn analysis tools machine learning
Scikit-learn machine learning
telecommunication traffic
Time measurement
tools
WEKA
weka tool
false positive rate
botmaster
botnet
botnet IoT
botnet malware attacks
botnets
classification
composability
computer network security
Decision trees
accurate classification methods
inconspicuousness characteristics
inexpensive power
internet network security
Internet of Things
Internet of Things network infrastructure
invasive software
IoT botnet malware classification
IoT devices
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