Due to the rapid development of mobile technologies, nowadays mobile devices are not expensive and almost every person can easily possess a mobile device. This fact boosts investments in mobile applications, among which are the person-to-person mobile payment applications. These applications are pretty sensitive in that they are related to monetary transactions, thus involving strict security and privacy requirements. To this purpose, we propose a secure protocol leveraging online social network connections to help users enforce their trust preferences locally to make a money transfer. The protocol exploits mobile ad-hoc network as a communication means. To improve the network performance by still preserving data security and user privacy, we also propose some optimization strategies to decrease the number of tokensets sent over mobile ad-hoc network. The experimental results demonstrate the effectiveness of our proposal.

Trustworthy and effective person-to-person payments over multi-hop MANETs

CARMINATI, BARBARA;FERRARI, ELENA;
2016-01-01

Abstract

Due to the rapid development of mobile technologies, nowadays mobile devices are not expensive and almost every person can easily possess a mobile device. This fact boosts investments in mobile applications, among which are the person-to-person mobile payment applications. These applications are pretty sensitive in that they are related to monetary transactions, thus involving strict security and privacy requirements. To this purpose, we propose a secure protocol leveraging online social network connections to help users enforce their trust preferences locally to make a money transfer. The protocol exploits mobile ad-hoc network as a communication means. To improve the network performance by still preserving data security and user privacy, we also propose some optimization strategies to decrease the number of tokensets sent over mobile ad-hoc network. The experimental results demonstrate the effectiveness of our proposal.
2016
http://www.elsevier.com/inca/publications/store/6/2/2/8/9/3/index.htt
Homomorphic encryption; Mobile ad-hoc network; Mobile person-to-person payment; Trust preferences; Hardware and Architecture; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computer Networks and Communications
Carminati, Barbara; Ferrari, Elena; Tran, Ngoc Hong
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2062601
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 5
social impact