A real-time NetFlow-based intrusion detection system with improved BBNN and high-frequency field programmable gate arrays

Proc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012

Volumn , Issue , 2012, Pages 201-208

  Tran, Quang Anh ^a   Jiang, Frank ^b   Hu, Jiankun ^b  

^a HANOI UNIVERSITY   (Viet Nam)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

artificial neural network (ANN); field programmable gate arrays (FPGA); intrusion detection systems (IDSs); network security

Indexed keywords

BLOCK-BASED NEURAL NETWORKS; COMPLEX COMPUTING; DETECTION PERFORMANCE; DETECTION RATES; FALSE ALARM RATE; FPGA BOARDS; HIGH FREQUENCY HF; INTRUSION DETECTION SYSTEMS; NAIVE-BAYES ALGORITHM; NETFLOW DATA; PARAMETER SETTING; PERFORMANCE COMPARISON;

FIELD PROGRAMMABLE GATE ARRAYS (FPGA); INTRUSION DETECTION; NETWORK SECURITY; NEURAL NETWORKS; SOFTWARE PROTOTYPING; SUPPORT VECTOR MACHINES; UBIQUITOUS COMPUTING; WEBSITES;

COMPUTER CRIME;

EID: 84868118751     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TrustCom.2012.51     Document Type: Conference Paper

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