SCAMSTOP : Scams and Fraud Detection in Voice over IP Networks FP7 contract number: 232458 D2.1 Fraud in VoIP Networks: Size and Scope
Identifieur interne : 002D38 ( Main/Exploration ); précédent : 002D37; suivant : 002D39SCAMSTOP : Scams and Fraud Detection in Voice over IP Networks FP7 contract number: 232458 D2.1 Fraud in VoIP Networks: Size and Scope
Auteurs : Yacine Rebahi ; Fabricio Gouveia ; Oriol Capsada ; Mohamed Nassar [France] ; Olivier Festor [France] ; Tasos Dagiuklas ; Havard Wik ThorkildssenSource :
Descripteurs français
- Wicri :
- topic : Fraude.
English descriptors
- mix :
Abstract
The migration from circuit-switched networks to packet-switched networks necessitates the investigation of related issues such as service delivery, QoS, security, and service fraud and misuse. The latter can be seen as a combination of accounting and security aspects. In traditional telecommunication networks, fraud accounts for annual losses at an average of 3% to 5% of the operators' revenue and still increasing at a rate of more than 10% yearly. It is also expected that in VoIP networks, the situation will be worse due to the lack of strong built-in security mechanisms, and the use of open standards. In this deliverable, we (1) discuss in details the fraud problem, in particular in the telecommunication area (2) describe and evaluate the existing anti-fraud solutions (3) and devise the requirements which will serve in the SCAMSTOP architecture development.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 004302
- to stream Hal, to step Curation: 004302
- to stream Hal, to step Checkpoint: 002601
- to stream Main, to step Merge: 002E05
- to stream Main, to step Curation: 002D38
Le document en format XML
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sort="Dagiuklas, Tasos" uniqKey="Dagiuklas T" first="Tasos" last="Dagiuklas">Tasos Dagiuklas</name></author><author><name sortKey="Wik Thorkildssen, Havard" sort="Wik Thorkildssen, Havard" uniqKey="Wik Thorkildssen H" first="Havard" last="Wik Thorkildssen">Havard Wik Thorkildssen</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Fraud</term><term>Fraud detection</term><term>Security</term><term>VoIP</term><term>fraud data collection</term><term>neural networks</term><term>rule-based detection</term><term>service misuse</term><term>user profiling</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Fraude</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The migration from circuit-switched networks to packet-switched networks necessitates the investigation of related issues such as service delivery, QoS, security, and service fraud and misuse. The latter can be seen as a combination of accounting and security aspects. In traditional telecommunication networks, fraud accounts for annual losses at an average of 3% to 5% of the operators' revenue and still increasing at a rate of more than 10% yearly. It is also expected that in VoIP networks, the situation will be worse due to the lack of strong built-in security mechanisms, and the use of open standards. In this deliverable, we (1) discuss in details the fraud problem, in particular in the telecommunication area (2) describe and evaluate the existing anti-fraud solutions (3) and devise the requirements which will serve in the SCAMSTOP architecture development.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><noCountry><name sortKey="Capsada, Oriol" sort="Capsada, Oriol" uniqKey="Capsada O" first="Oriol" last="Capsada">Oriol Capsada</name><name sortKey="Dagiuklas, Tasos" sort="Dagiuklas, Tasos" uniqKey="Dagiuklas T" first="Tasos" last="Dagiuklas">Tasos Dagiuklas</name><name sortKey="Gouveia, Fabricio" sort="Gouveia, Fabricio" uniqKey="Gouveia F" first="Fabricio" last="Gouveia">Fabricio Gouveia</name><name sortKey="Rebahi, Yacine" sort="Rebahi, Yacine" uniqKey="Rebahi Y" first="Yacine" last="Rebahi">Yacine Rebahi</name><name sortKey="Wik Thorkildssen, Havard" sort="Wik Thorkildssen, Havard" uniqKey="Wik Thorkildssen H" first="Havard" last="Wik Thorkildssen">Havard Wik Thorkildssen</name></noCountry><country name="France"><region name="Grand Est"><name sortKey="Nassar, Mohamed" sort="Nassar, Mohamed" uniqKey="Nassar M" first="Mohamed" last="Nassar">Mohamed Nassar</name></region><name sortKey="Festor, Olivier" sort="Festor, Olivier" uniqKey="Festor O" first="Olivier" last="Festor">Olivier Festor</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= SCAMSTOP : Scams and Fraud Detection in Voice over IP Networks FP7 contract number: 232458 D2.1 Fraud in VoIP Networks: Size and Scope
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