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» Intrusion Detection with Neural Networks
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GLOBECOM
2008
IEEE
13 years 8 months ago
Highly Memory-Efficient LogLog Hash for Deep Packet Inspection
As the network line rates reach 40 Gbps today and 100 Gbps in the near future, performing deep packet inspection (DPI) in the Network Intrusion Detection and Prevention Systems (NI...
Masanori Bando, N. Sertac Artan, H. Jonathan Chao
GLOBECOM
2010
IEEE
13 years 6 months ago
Independent Parallel Compact Finite Automatons for Accelerating Multi-String Matching
Multi-string matching is a key technique for implementing network security applications like Network Intrusion Detection Systems (NIDS) and anti-virus scanners. Existing DFA-based ...
Yi Tang, Junchen Jiang, Xiaofei Wang, Bin Liu, Yan...
INFOCOM
2010
IEEE
13 years 5 months ago
Multi-Round Sensor Deployment for Guaranteed Barrier Coverage
Abstract--Deploying wireless sensor networks to provide guaranteed barrier coverage is critical for many sensor networks applications such as intrusion detection and border surveil...
Guanqun Yang, Daji Qiao
CSREASAM
2010
13 years 4 months ago
Modeling NIDS Evasion with Genetic Programming
Nowadays, Network Intrusion Detection Systems are quickly updated in order to prevent systems against new attacks. This situation has provoked that attackers focus their efforts on...
Sergio Pastrana, Agustín Orfila, Arturo Rib...
JMLR
2010
185views more  JMLR 2010»
13 years 2 months ago
HMMPayl: an application of HMM to the analysis of the HTTP Payload
Zero-days attacks are one of the most dangerous threats against computer networks. These, by definition, are attacks never seen before. Thus, defense tools based on a database of ...
Davide Ariu, Giorgio Giacinto