TY - GEN
T1 - Multiobjective evolutionary clustering approach to security vulnerability assesments
AU - Corral, G.
AU - Garcia-Piquer, A.
AU - Orriols-Puig, A.
AU - Fornells, A.
AU - Golobardes, E.
PY - 2009
Y1 - 2009
N2 - Network vulnerability assessments collect large amounts of data to be further analyzed by security experts. Data mining and, particularly, unsupervised learning can help experts analyze these data and extract several conclusions. This paper presents a contribution to mine data in this security domain. We have implemented an evolutionary multiobjective approach to cluster data of security assessments. Clusters hold groups of tested devices with similar vulnerabilities to detect hidden patterns. Two different metrics have been selected as objectives to guide the discovery process. The results of this contribution are compared with other single-objective clustering approaches to confirm the value of the obtained clustering structures.
AB - Network vulnerability assessments collect large amounts of data to be further analyzed by security experts. Data mining and, particularly, unsupervised learning can help experts analyze these data and extract several conclusions. This paper presents a contribution to mine data in this security domain. We have implemented an evolutionary multiobjective approach to cluster data of security assessments. Clusters hold groups of tested devices with similar vulnerabilities to detect hidden patterns. Two different metrics have been selected as objectives to guide the discovery process. The results of this contribution are compared with other single-objective clustering approaches to confirm the value of the obtained clustering structures.
KW - AI applications
KW - Clustering
KW - Evolutionary Algorithm
KW - Multiobjective Optimization
KW - Network Security
KW - Unsupervised Learning
UR - http://www.scopus.com/inward/record.url?scp=70350658295&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02319-4_72
DO - 10.1007/978-3-642-02319-4_72
M3 - Conference contribution
AN - SCOPUS:70350658295
SN - 3642023185
SN - 9783642023187
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 597
EP - 604
BT - Hybrid Artificial Intelligence Systems - 4th International Conference, HAIS 2009, Proceedings
T2 - 4th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2009
Y2 - 10 June 2009 through 12 June 2009
ER -