A study on network intrusion detection and prevention system current status and challenging issues

IET Seminar Digest

Volumn 2011, Issue 2, 2011, Pages 181-183

  Vasanthi, S ^a   Chandrasekar, S ^a  

^a SONA COLLEGE OF TECHNOLOGY   (India)

Author keywords

Advances of Network Security; HawkEye Solutions; Intrusion Detection System; Intrusion Prevention System; Sampling algorithms

Indexed keywords

ADAPTIVE LEARNING; ADAPTIVE LEARNING ALGORITHM; CURRENT STATUS; DETECTION SYSTEM; EXISTING SYSTEMS; HAWKEYES; IN-LINE; INCOMING PACKETS; INTRUSION DETECTION SYSTEMS; INTRUSION PREVENTION SYSTEMS; NETWORK INTRUSION DETECTION; NETWORK TRAFFIC; NETWORK-BASED; NEW MODEL; SAMPLING ALGORITHM; TCP PORTS;

ADAPTIVE ALGORITHMS; COMMUNICATION; LEARNING ALGORITHMS; PACKET NETWORKS;

INTRUSION DETECTION;

EID: 84861619951     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ic.2011.0075     Document Type: Conference Paper

References (4)

1. Indraneel Mukhopadhyay, Mohuya Chakraborty, Satyajit Chakrabarti: "A Comparative Study of Related Technologies of Intrusion Detection & Prevention Systems" , Journal of Information Security, 2011, 2, 28-38.J.
2. Shailesh Kumar Gaikwad, Prof. Vijay Shah, Yogendra Kumar Jain:"A Secure Network Detection System against Noisy Unlabeled Data", International Journal of Computer Applications (0975-8887)Volume 9-No.9, November 2010.
3. Mika Ilvesmäki, Jouni Karvo : "On the behavior of the candidate table of the per-flow packet count flow classifier", June 27, 2000.
4. Dewan Md. Farid, Nouria Harbi, and Mohammad Zahidur Rahman, "Combining naive bayes and decision tree for adaptive intrusion detection" , International Journal of Network Security & Its Applications (IJNSA), Volume 2, Number2, April 2010.