Name
Abstract | ||
|---|---|---|
Although fingerprinting techniques are helpful for security assessment, they have limited support to advanced security related applications. We have developed a new security framework focusing especially on the authentication reinforcement and the automatic generation of stateful firewall rules based on behavioral fingerprinting. Such fingerprinting is highly effective in capturing sequential patterns in the behavior of a device. A new machine learning technique is also adapted to monitor high speed networks by evaluating both computational complexity and experimented performances. |
Year | Venue | Keywords |
|---|---|---|
2011 | CNSM | high speed network,new machine,enforcing security,behavioral fingerprinting,advanced security,authentication reinforcement,security assessment,automatic generation,computational complexity,new security framework,fingerprinting technique,accuracy,learning artificial intelligence,pattern recognition,fingerprint identification,authentication,protocols,support vector machines,machine learning,authorisation,support vector machine,rule based |
Field | DocType | ISSN |
Authentication,Computer science,Security framework,Support vector machine,Authorization,Fingerprint,Stateful firewall,Artificial intelligence,Security assessment,Machine learning,Computational complexity theory,Distributed computing | Conference | 2165-9605 |
ISBN | Citations | PageRank |
978-1-4577-1588-4 | 2 | 0.45 |
References | Authors | |
23 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jérôme François | 1 | 170 | 21.81 |
| Radu State | 2 | 623 | 86.87 |
| Thomas Engel | 3 | 455 | 42.34 |
| Olivier Festor | 4 | 665 | 85.40 |