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Worm virulence estimation for the containment of local worm outbreak
Y. H. Choi
, L. Li
,
P. Liu
,
G. Kesidis
College of Information Sciences and Technology
Electrical Engineering
Computer Science and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
7
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Scopus citations
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Dive into the research topics of 'Worm virulence estimation for the containment of local worm outbreak'. Together they form a unique fingerprint.
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Mathematics
Maximum Likelihood Estimate
100%
Maximum Likelihood Estimator
100%
Kalman Filtering
100%
Detection Method
100%
Reliable Estimate
100%
Host Population
100%
Susceptible Population
100%
Keyphrases
Virulence
100%
Containment
100%
Worm
100%
Enterprise Network
50%
Local Networks
50%
Local Outbreak
25%
Detection Method
12%
Maximum Likelihood Estimation
12%
Network Users
12%
Reliable Estimate
12%
Host Population
12%
Kalman Filter
12%
Worm Propagation
12%
New Infections
12%
Susceptible Host
12%
Maximum Likelihood Estimator
12%
Honeypot
12%
Port Detection
12%
Susceptible Population
12%
Normal Networks
12%
Scan Detection
12%
Limited Scan
12%
Defense Method
12%
Service Disruption
12%
Cost-conscious
12%
Computer Science
Local Network
100%
Enterprise Network
100%
maximum-likelihood
50%
Worm Propagation
25%
Honeypots
25%
Detection Method
25%
Likelihood Estimate
25%
Normal Network
25%
Kalman Filter
25%
Service Disruption
25%
Susceptible Host
25%