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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
malicious code detection
biblio
K-Means Clustering Analysis Based on Adaptive Weights for Malicious Code Detection
Submitted by grigby1 on Mon, 04/06/2020 - 2:23pm
network coding
traffic characteristics
traditional detection techniques
telecommunication traffic
statistical analysis
Resiliency
resilience
pubcrawl
pattern clustering
network traffic
network security
network scanning
adaptive weights-MMKM
network behavior
Metrics
malicious codes
malicious code detection
malicious code
k-means clustering analysis
cyber physical systems
computer network security
composability
clustering
AW-MMKM
biblio
Research on Network Malicious Code Detection and Provenance Tracking in Future Network
Submitted by aekwall on Mon, 04/06/2020 - 9:56am
malicious code detection
classification algorithm
Predictive Metrics
cyber physical systems
network coding
Behavior features
detection method
feature selection methods
host node
software defined networking
malware detection system
matching classification method
Mobile communication
network controller
network malicious code detection
optimal feature subset
propagation model
switch node
Feature Selection
malware
security
invasive software
Classification algorithms
machine learning algorithms
SDN network
network security
feature extraction
computer network security
Resiliency
pubcrawl
composability
Computational modeling
pattern classification
Analytical models
mobile network