An efficient FPGA implementation of principle component analysis based Network Intrusion Detection System

Proceedings -Design, Automation and Test in Europe, DATE

Volumn , Issue , 2008, Pages 1160-1165

  Das, Abhishek ^a   Misra, Sanchit ^a   Joshi, Sumeet ^b   Zambreno, Joseph ^c   Memik, Gokhan ^a   Choudhary, Alok ^a  

^a Northwestern University   (United States)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

^c Iowa State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALARM SYSTEMS; COMPUTER CRIME; DATA PROCESSING; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); FINANCIAL DATA PROCESSING; INDUSTRIAL ENGINEERING; INTERNET; INTRUSION DETECTION; NEURAL NETWORKS; SECURITY OF DATA; SENSORS; SIGNAL DETECTION; STATISTICAL METHODS; TESTING;

ANOMALY DETECTIONS; DETECTION RATES; DETECTION SYSTEMS; FALSE ALARM RATES; FPGA ARCHITECTURES; FPGA IMPLEMENTATIONS; MALICIOUS ATTACKS; NETWORK DATA; NETWORK INTRUSION DETECTION SYSTEM; NETWORK INTRUSIONS; PRINCIPAL COMPONENT ANALYSIS (PCA); PRINCIPAL COMPONENTS; PRINCIPLE COMPONENT ANALYSIS; XILINX VIRTEX;

PRINCIPAL COMPONENT ANALYSIS;

EID: 49749151354     PISSN: 15301591     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DATE.2008.4484835     Document Type: Conference Paper

References (14)

1. M. E. Attig and J. Lockwood. A framework for rule processing in reconfigurable network systems. In IEEE Symposium on Field-Programmable Custom Computing Machines, (FCCM), Napa, CA, Apr. 2005.
2. Z. K. Baker and V. K. Prasanna. Time and Area Efficient Pattern Matching on FPGAs. In The Twelfth Annual ACM International Symposium on Field-Programmable Gate Arrays (FPGA '04), 2004.
3. Z. K. Baker and V. K. Prasanna. Efficient Hardware Data Mining with the Apriori Algorithm on FPGAs. In Proceedings of the Thirteenth Annual IEEE Sym. on Field Programmable Custom Computing Machines 2005, 2005.
4. S. Dharmapurikar, P. Krishnamurthy, T. Sproull, and J. W. Lockwood. Deep packet inspection using parallel bloom filters. In Symp. on High Performance Interconnects, August 2003.
5. M. Fleury, B. Self, and A. C. Downton. A fine-grained parallel pipelined karhunen-loeve transform. In 17th International Parallel and Distributed Processing Symposium, Nice, France, April 2003.
6. J. D. Jobson. Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods. Springer-Verlag, NY, 1992.
7. I. T. Jolliffe. Principal Component Analysis. Springer-Verlag, NY, 2002.
8. Jungsuk Song and Hiroki Takakura and yasuo Okabe. A proposal of new benchmark data to evaluate mining algorithms for intrusion detection. In 23rd Asia Pacific Advanced Networking Meeting, 2007.
9. KDD Cup 1999 Data. http://kdd.ics.uci.edu/databases/kdd-cup99/kddcup99. html, August 1999.
10. Nicholas Athanasiades and Randal Abler and John Levine and Henry Owen and George Riley. Intrusion detection testing and benchmarking methodologies. In IEEE International Information Assurance Workshop, 2003.
11. R. Sidhu and V. Prasanna. Fast regular expression matching using fpgas. In IEEE Symposium on Field-Programmable Custom Computing Machines, April 2001.
12. D. V. Schuehler, J. Moscola, and J. W. Lockwood. Architecture for a hardware-based, tcp/ip content-processing system. In IEEE Micro, January 2004.
13. M.-L. Shyu, S.-C. Chen, K. Sarinnapakorn, and L. Chang. A novel anomaly detection scheme based on principal component classifier. In IEEE Foundations and New Directions of Data Mining Workshop, pages 172-179, November 2003.
14. H. Song and J. W. Lockwood. Efficient packet classification for network intrusion detection using fpga. In Intl. Symp. on Field-Programmable Gate Arrays, February 2005.