2026-09-18T10:43:49Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1350902025-04-30T20:38:26Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811

Corchado Rodríguez, Emilio Santiago Herrero Cosío, Álvaro Baruque, Bruno Sáiz, José M. 2005 This work describes ongoing multidisciplinary research which aims to analyse and to apply connectionist architectures to the interesting field of computer security. In this paper, we present a novel approach for Intrusion Detection Systems (IDS) based on an unsupervised connectionist model used as a method for classifying data. It is used in this special case, as a method to analyse the traffic which travels along the analysed network, detecting anomalous traffic patterns related to SNMP (Simple Network Management Protocol). Once the data has been collected and pre-processed, we use a novel connectionist topology preserving model to analyse the traffic data. It is an extension of the negative feedback network characterised by the use of lateral connections on the output layer. These lateral connections have been derived from the Rectified Gaussian distribution. application/pdf http://hdl.handle.net/10366/135090 en Springer-Verlag Intrusion Detection System Based on a Cooperative Topology Preserving Method info:eu-repo/semantics/conferenceObject TEXT Gredos. Repositorio Documental de la Universidad de Salamanca Hispana