Title:  SuStorID: A multiple classifier system for the protection of web services
Internal authors: 
Issue Date:  2012
Authors:  Corona I; Tronci R; Giacinto G
Book title:  2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012)
ISBN:  978-4-9906441-1-6
Publisher name:  IEEE
First page:  2375
Last page:  2378
Number of pages:  4
Scopus identifier:  2-s2.0-84874576286
ISI identifier:  WOS:000343660602114
URL:  http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6460643&isnumber=6460043
Peer review:  Esperti anonimi
Conference name:  21st International Conference on Pattern Recognition (ICPR 2012)
Conference date:  11-15 Novembre 2012
Conference place:  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.
Type: 4.1 Contributo in Atti di convegno

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