Network intrusion detection system embedded on a smart sensor

Please use this identifier to cite or link to this item:
Información del item - Informació de l'item - Item information
Title: Network intrusion detection system embedded on a smart sensor
Authors: Maciá Pérez, Francisco | Mora Gimeno, Francisco José | Marcos-Jorquera, Diego | Gil Martínez-Abarca, Juan Antonio | Ramos Morillo, Héctor | Lorenzo Fonseca, Iren
Research Group/s: GrupoM. Redes y Middleware
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Intrusion Detection Systems (IDS) | Embedded systems | Smart sensors | Service Oriented Architectures (SOA)
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 13-Jun-2010
Publisher: IEEE
Citation: MACIÁ PÉREZ, Francisco, et al. “Network intrusion detection system embedded on a smart sensor”. IEEE Transactions on Industrial Electronics. Vol. PP, Issue 99 (2010). ISSN 0278-0046
Abstract: This paper proposes a Network Intrusion Detection System (NIDS) embedded in an Smart Sensor inspired device, under a Service Oriented Architecture (SOA) approach, able to operate independently as an anomaly-based NIDS or integrated, transparently, in a Distributed Intrusion Detection System (DIDS). The proposal is innovative, because it combines the advantages of Smart Sensor approach and the subsequent offering of the NIDS functionality as a service with the SOA use in order to achieve their integration with other DIDS components. The main goal of the work is to reduce the huge volume of management tasks inherent to this type of network services, as well as facilitating the design of DIDS whose managing complexity could be restricted within well defined margins. The work also addresses the construction of a physical sensor prototype. This prototype was used to carry out the tests that has demonstrated the proposals validity, providing detection and performance ratios similar to those of existing IDS, but with the advantage of a zero-maintenance approach.
ISSN: 0278-0046
DOI: 10.1109/TIE.2010.2052533
Language: eng
Type: info:eu-repo/semantics/article
Rights: © Copyright 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Peer Review: si
Publisher version:
Appears in Collections:INV - GrupoM - Artículos de Revistas
INV - AIA - Artículos de Revistas

Files in This Item:
Files in This Item:
File Description SizeFormat 
ThumbnailNetwork_intrussion.pdfPre-print2,24 MBAdobe PDFOpen Preview

Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.