A Privacy-Preserving Personlized AdDissemination Based On Interest Aggregation and Piggybacking

Abstract

Advertising on mobile devices has large potential due to the very personal and intimate nature of the devices and high targeting possibilities. we introduce a piggybacking for reduce the communication cost in privacy preserving personalized addissemination based on interest aggregation. We add directory servers that allow users to learn public keys. we propose a system for publish context ,location, time and preference-aware ad to mobiles with a novel architecture to preserve sequestrum. The main opponent in our model is the server distributing the advertisements, which is trying to identify users and track them, and to a lesser area, other peers in the wireless network. When a node is interested in an advertisement, then it will forms a group of nearer nodes seeking ads and willing to cooperate to achieve sequestrum. Peers combine their interests using a shuffling mechanism in an ad-hoc network and send them through a primary peer to the ad-server. In this path, preferences are masquerade to request custom ads, which are then distributed by the primary peer. Another mechanism isproposed to implementing the billing process without disclosing user identities.

Authors and Affiliations

S. Divya, S. Baby Shalini, R. Anitha

Keywords

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  • EP ID EP21822
  • DOI -
  • Views 203
  • Downloads 4

How To Cite

S. Divya, S. Baby Shalini, R. Anitha (2016). A Privacy-Preserving Personlized AdDissemination Based On Interest Aggregation and Piggybacking. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(3), -. https://europub.co.uk./articles/-A-21822