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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
k-means clustering analysis
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
Entropy clustering approach for improving forecasting in DDoS attacks
Submitted by grigby1 on Tue, 03/07/2017 - 1:44pm
pattern clustering
forecasting theory
FPR
IDS
intrusion detection system
k-means clustering analysis
network analysis
network security
online anomaly detection
forecasting
Ports (Computers)
proactive forecast
project industrial partner
pubcrawl170109
Shannon entropy
Shannon-entropy concept
volume anomaly
alert management
feature extraction
false positive rate
entropy clustering approach
Entropy
distributed denial-of-service (DDoS) detection
distributed denial-of-service
Digital Forensics
digital forensic analysis
DDoS Attacks
cyber-range simulation dataset
computer network security
Computer crime
Clustering algorithms
clustering algorithm
Algorithm design and analysis