TY - GEN
T1 - Improving network intrusion detection with extended KDD features
AU - Guillén, Edward Paul
AU - Rodríguez Parra, Jhordany
AU - Paéz Mendez, Rafael Vicente
N1 - Funding Information:
This work was possible with the support of Military University Doctoral Support Program, and Javeriana University Doctoral Program.
PY - 2014
Y1 - 2014
N2 - In order to analyze results of anomaly detection methods for Network Intrusion Detection Systems, the DARPA KDD data set have been widely analyzed but their data are outdated for most kinds of attacks. A software called Spleen designed to get data from a tested network with the same structure of DARPA data set is introduced. The application is used to complete the data set with additional features according to an attack analysis. Finally, to show advantages of an extended data set, two genetic methods in the detection of non-content based attacks are tested.
AB - In order to analyze results of anomaly detection methods for Network Intrusion Detection Systems, the DARPA KDD data set have been widely analyzed but their data are outdated for most kinds of attacks. A software called Spleen designed to get data from a tested network with the same structure of DARPA data set is introduced. The application is used to complete the data set with additional features according to an attack analysis. Finally, to show advantages of an extended data set, two genetic methods in the detection of non-content based attacks are tested.
KW - Adaptative algorithm
KW - Genetic algorithms
KW - Information security
KW - Intrusion detection
KW - Machine learning
KW - TCPIP
UR - http://www.scopus.com/inward/record.url?scp=84958524839&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-6818-5_30
DO - 10.1007/978-94-007-6818-5_30
M3 - Conference contribution
AN - SCOPUS:84958524839
SN - 9789400768178
T3 - Lecture Notes in Electrical Engineering
SP - 431
EP - 445
BT - IAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012
PB - Springer Verlag
T2 - World Congress on Engineering and Computer Science, WCECS 2012
Y2 - 24 October 2012 through 26 October 2012
ER -