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A privacy-preserving framework for managing mobile ad requests &billing info - Coimbatore
Tuesday, 1 December, 2015Item details
City:
Coimbatore, Tamil Nadu
Offer type:
Offer
Item description
Abstract
Organizations are starting to realize the significant value of advertising on mobile devices, and a number of systems have been developed to exploit this opportunity. From a privacy perspective, practically all systems developed so far are based either on a trusted third-party model or on a generalized architecture. We propose a system for delivering context, location, time, and preference-aware advertisements to mobiles with a novel architecture to preserve privacy. The main adversary in our model is the server distributing the ads, which is trying to identify users and track them, and to a lesser extent, other peers in the wireless network. When a node is interested in an ad, it forms a group of nearby nodes seeking ads and willing to cooperate to achieve privacy. 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 way, preferences are masqueraded to request custom ads, which are then distributed by the primary peer. Another mechanism is proposed to implement the billing process without disclosing user identities.
For more details, Contact
ph:9095395333,9159115969
Office Address:
LansA Informatics Pvt Ltd,
165, 5th Street, Cross cut road,
Gandhipuram, Coimbatore-641012
Organizations are starting to realize the significant value of advertising on mobile devices, and a number of systems have been developed to exploit this opportunity. From a privacy perspective, practically all systems developed so far are based either on a trusted third-party model or on a generalized architecture. We propose a system for delivering context, location, time, and preference-aware advertisements to mobiles with a novel architecture to preserve privacy. The main adversary in our model is the server distributing the ads, which is trying to identify users and track them, and to a lesser extent, other peers in the wireless network. When a node is interested in an ad, it forms a group of nearby nodes seeking ads and willing to cooperate to achieve privacy. 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 way, preferences are masqueraded to request custom ads, which are then distributed by the primary peer. Another mechanism is proposed to implement the billing process without disclosing user identities.
For more details, Contact
ph:9095395333,9159115969
Office Address:
LansA Informatics Pvt Ltd,
165, 5th Street, Cross cut road,
Gandhipuram, Coimbatore-641012