Università degli Studi di Cagliari
| Titolo: | SuStorID: A multiple classifier system for the protection of web services | |
| Autori: | ||
| Data di pubblicazione: | 2012 | |
| Autori: | Corona I; Tronci R; Giacinto G | |
| Titolo del libro: | 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012) | |
| ISBN: | 978-4-9906441-1-6 | |
| Editore: | IEEE | |
| Pagina iniziale: | 2375 | |
| Pagina finale: | 2378 | |
| Numero di pagine: | 4 | |
| Codice identificativo Scopus: | 2-s2.0-84874576286 | |
| Codice identificativo ISI: | WOS:000343660602114 | |
| URL: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460643&isnumber=6460043 | |
| Revisione (peer review): | Esperti anonimi | |
| Nome del convegno: | 21st International Conference on Pattern Recognition (ICPR 2012) | |
| Periodo del convegno: | 11-15 Novembre 2012 | |
| Luogo del convegno: | Tsukuba, Japan | |
| Abstract: | The security of web services is nowadays one of the major concerns for Internet users. Web services may manage confidential information, monetary transactions, or even health-critical systems, such as those employed in public airports or hospitals. A key problem of web services is that they should work as expected even in the presence of malicious inputs. Unfortunately, with the increasing complexity of web services, this task becomes more and more challenging. In this paper we present SuStorID, a multiple classifier system which is able to model legitimate inputs towards web services, given a sample of web traffic. If anomalous inputs are detected, web services are protected according to a set of anomaly templates. Our experiments, performed on a production environment, highlight that our system can accurately detect web attacks and help security operators to protect their web services against known and unknown attacks. | |
| Tipologia: | 4.1 Contributo in Atti di convegno |
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