An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
NetSTAT: a network-based intrusion detection system
Journal of Computer Security
Generalized L.R. Parsing
Specification-based anomaly detection: a new approach for detecting network intrusions
Proceedings of the 9th ACM conference on Computer and communications security
Stochastic Protocol Modeling for Anomaly Based Network Intrusion Detection
IEEE-IWIA '03 Proceedings of the First IEEE International Workshop on Information Assurance (IWIA'03)
Learning Rules for Anomaly Detection of Hostile Network Traffic
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
LR parsers for natural languages
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Snort - Lightweight Intrusion Detection for Networks
LISA '99 Proceedings of the 13th USENIX conference on System administration
Characteristics and responsibilities involved in a Phishing attack
WISICT '05 Proceedings of the 4th international symposium on Information and communication technologies
Anomaly Intrusion Detection for System Call Using the Soundex Algorithm and Neural Networks
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
VoIP Intrusion Detection Through Interacting Protocol State Machines
DSN '06 Proceedings of the International Conference on Dependable Systems and Networks
Unexpected means of protocol inference
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Masquerade detection based on SVM and sequence-based user commands profile
ASIACCS '07 Proceedings of the 2nd ACM symposium on Information, computer and communications security
K-T.R.A.C.E: A kernel k-means procedure for classification
Computers and Operations Research
An overview of anomaly detection techniques: Existing solutions and latest technological trends
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 1st international conference on Principles, systems and applications of IP telecommunications
Nmap Network Scanning: The Official Nmap Project Guide to Network Discovery and Security Scanning
Nmap Network Scanning: The Official Nmap Project Guide to Network Discovery and Security Scanning
SecSip: a stateful firewall for SIP-based networks
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Automated Behavioral Fingerprinting
RAID '09 Proceedings of the 12th International Symposium on Recent Advances in Intrusion Detection
VoIP malware: attack tool & attack scenarios
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Machine Learning Techniques for Passive Network Inventory
IEEE Transactions on Network and Service Management
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
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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.