Communications of the ACM
Agile application-aware adaptation for mobility
Proceedings of the sixteenth ACM symposium on Operating systems principles
Mobility modelling and trajectory prediction for cellular networks with mobile base stations
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
On profiling mobility and predicting locations of wireless users
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Evaluating Next-Cell Predictors with Extensive Wi-Fi Mobility Data
IEEE Transactions on Mobile Computing
Mobility prediction using future knowledge
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
BreadCrumbs: forecasting mobile connectivity
Proceedings of the 14th ACM international conference on Mobile computing and networking
Privad: practical privacy in online advertising
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Proceedings of the 12th ACM conference on Electronic commerce
Quire: lightweight provenance for smart phone operating systems
SEC'11 Proceedings of the 20th USENIX conference on Security
Proceedings of the 18th ACM conference on Computer and communications security
For sale : your data: by : you
Proceedings of the 10th ACM Workshop on Hot Topics in Networks
Mitigating the true cost of advertisement-supported "free" mobile applications
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
Measuring and fingerprinting click-spam in ad networks
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
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
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
SmartAds: bringing contextual ads to mobile apps
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
How much energy can we save from prefetching ads?: energy drain analysis of top 100 apps
Proceedings of the Workshop on Power-Aware Computing and Systems
| Hi-index | 0.00 |
Advertisements are the de-facto currency of the Internet with many popular applications (e.g. Angry Birds) and online services (e.g., YouTube) relying on advertisement generated revenue. However, the current economic models and mechanisms for mobile advertising are fundamentally not sustainable and far from ideal. In particular, as we show, applications which use mobile advertising are capable of using significant amounts of a mobile users' critical resources without being controlled or held accountable. This paper seeks to redress this situation by enabling advertisement supported applications to become significantly more ``user-friendly''. To this end, we present the design and implementation of CAMEO, a new framework for mobile advertising that 1) employs intelligent and proactive retrieval of advertisements, using context prediction, to significantly reduce the bandwidth and energy overheads of advertising, and 2) provides a negotiation protocol and framework that empowers applications to subsidize their data traffic costs by ``bartering'' their advertisement rights for access bandwidth from mobile ISPs. Our evaluation, that uses real mobile advertising data collected from around the globe, demonstrates that CAMEO effectively reduces the resource consumption caused by mobile advertising.