TY - JOUR
AU - 
AB - future internet Article Private and Secure Distribution of Targeted Advertisements to Mobile Phones Stylianos S. Mamais and George Theodorakopoulos * School of Computer Science and Informatics, Cardiff University, 5 The Parade, Roath, Cardiff CF24 3AA, UK; MamaisSS@cardiff.ac.uk * Correspondence: TheodorakopoulosG@cardiff.ac.uk Tel.: +44-29-208-74855 Academic Editor: Georgios Kambourakis Received: 4 April 2017; Accepted: 26 April 2017; Published: 1 May 2017 Abstract: Online Behavioural Advertising (OBA) enables promotion companies to effectively target users with ads that best satisfy their purchasing needs. This is highly beneficial for both vendors and publishers who are the owners of the advertising platforms, such as websites and app developers, but at the same time creates a serious privacy threat for users who expose their consumer interests. In this paper, we categorize the available ad-distribution methods and identify their limitations in terms of security, privacy, targeting effectiveness and practicality. We contribute our own system, which utilizes opportunistic networking in order to distribute targeted adverts within a social network. We improve upon previous work by eliminating the need for trust among the users (network nodes) while at the same time achieving low memory and bandwidth overhead, which are inherent problems of many opportunistic networks. Our protocol accomplishes this by 
TI - Private and Secure Distribution of Targeted Advertisements to Mobile Phones
JF - Future Internet
DO - 10.3390/fi9020016
DA - 2017-05-01
UR - https://www.deepdyve.com/lp/unpaywall/private-and-secure-distribution-of-targeted-advertisements-to-mobile-X08EpSj4DA
DP - DeepDyve
ER -