On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
A distributed scheme for autonomous service composition
Proceedings of the first ACM international workshop on Multimedia service composition
Virtual individual servers as privacy-preserving proxies for mobile devices
Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds
MobiAd: private and scalable mobile advertising
Proceedings of the fifth ACM international workshop on Mobility in the evolving internet architecture
Privad: practical privacy in online advertising
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Don't kill my ads!: balancing privacy in an ad-supported mobile application market
Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications
Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof
Proceedings of the 7th ACM european conference on Computer Systems
Unsafe exposure analysis of mobile in-app advertisements
Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks
Periodic transfers in mobile applications: network-wide origin, impact, and optimization
Proceedings of the 21st international conference on World Wide Web
Serendipity: enabling remote computing among intermittently connected mobile devices
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing
Fast app launching for mobile devices using predictive user context
Proceedings of the 10th international conference on Mobile systems, applications, and services
Advancing the state of mobile cloud computing
Proceedings of the third ACM workshop on Mobile cloud computing and services
AdSplit: separating smartphone advertising from applications
Security'12 Proceedings of the 21st USENIX conference on Security symposium
Breaking for commercials: characterizing mobile advertising
Proceedings of the 2012 ACM conference on Internet measurement conference
How expensive are free smartphone apps?
ACM SIGMOBILE Mobile Computing and Communications Review
AdDroid: privilege separation for applications and advertisers in Android
Proceedings of the 7th ACM Symposium on Information, Computer and Communications Security
Prefetching mobile ads: can advertising systems afford it?
Proceedings of the 8th ACM European Conference on Computer Systems
Energy Consumption Reduction via Context-Aware Mobile Video Pre-fetching
ISM '12 Proceedings of the 2012 IEEE International Symposium on Multimedia
| Hi-index | 0.00 |
Mobile in-app ads are the major funding source for free mobile apps which users download from various app markets and install in their smartphones. However, a number researchers have recently pointed out that ad-supported free apps involve hidden costs to the users. Costs are primarily associated with the loss of privacy due to personal data collection, using data from the mobile data quota and draining of smartphone battery. The alternative proposals for the problem do not address all of these issues. We propose a novel ads delivery architecture, which addresses all these issues, by extending the users' personal domain to the cloud through personal cloudlets. Personal cloudlets preserve user privacy by only releasing high level user information to the ad network, reduce energy consumption by performing the computations, communications and storage in the "cloud", and minimize the bandwidth usage by passing only selected information between personal cloudlet and the smartphone. Furthermore, the proposed architecture, provides a number of incentives for ad networks to use the architecture.