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Breaking for commercials: characterizing mobile advertising

Published: 14 November 2012 Publication History

Abstract

Mobile phones and tablets can be considered as the first incarnation of the post-PC era. Their explosive adoption rate has been driven by a number of factors, with the most signifcant influence being applications (apps) and app markets. Individuals and organizations are able to develop and publish apps, and the most popular form of monetization is mobile advertising.
The mobile advertisement (ad) ecosystem has been the target of prior research, but these works typically focused on a small set of apps or are from a user privacy perspective. In this work we make use of a unique, anonymized data set corresponding to one day of traffic for a major European mobile carrier with more than 3 million subscribers. We further take a principled approach to characterize mobile ad traffic along a number of dimensions, such as overall traffic, frequency, as well as possible implications in terms of energy on a mobile device.
Our analysis demonstrates a number of inefficiencies in today's ad delivery. We discuss the benefits of well-known techniques, such as pre-fetching and caching, to limit the energy and network signalling overhead caused by current systems. A prototype implementation on Android devices demonstrates an improvement of 50 % in terms of energy consumption for offline ad-sponsored apps while limiting the amount of ad related traffic.

Supplementary Material

PDF File (162.pdf)
Summary Review Documentation for "Breaking for Commercial: Characterizing Mobile Advertising", Authors: N. Vallina-Rodriguez, J, Shah, A. Finamore, Y. Grunenberger, K. Papagiannaki, H. Haddadi, and J. Crowcroft

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  • (2023)IoTFlow: Inferring IoT Device Behavior at Scale through Static Mobile Companion App AnalysisProceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security10.1145/3576915.3623211(681-695)Online publication date: 15-Nov-2023
  • (2023)Android OS Privacy Under the Loupe -- A Tale from the EastProceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks10.1145/3558482.3581775(31-42)Online publication date: 29-May-2023
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    cover image ACM Conferences
    IMC '12: Proceedings of the 2012 Internet Measurement Conference
    November 2012
    572 pages
    ISBN:9781450317054
    DOI:10.1145/2398776
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 14 November 2012

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    Author Tags

    1. advertisement
    2. caching
    3. cellular
    4. energy
    5. smartphones
    6. traffic

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    • Research-article

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    IMC '12
    Sponsor:
    IMC '12: Internet Measurement Conference
    November 14 - 16, 2012
    Massachusetts, Boston, USA

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    Overall Acceptance Rate 277 of 1,083 submissions, 26%

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    Cited By

    View all
    • (2023)Privacy Is the Price: Player Views and Technical Evaluation of Data Practices in Online GamesProceedings of the ACM on Human-Computer Interaction10.1145/36110647:CHI PLAY(1136-1178)Online publication date: 4-Oct-2023
    • (2023)IoTFlow: Inferring IoT Device Behavior at Scale through Static Mobile Companion App AnalysisProceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security10.1145/3576915.3623211(681-695)Online publication date: 15-Nov-2023
    • (2023)Android OS Privacy Under the Loupe -- A Tale from the EastProceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks10.1145/3558482.3581775(31-42)Online publication date: 29-May-2023
    • (2022)Gathering Contextual Data with Power Information Using Smartphones in Internet of EverythingWireless Communications & Mobile Computing10.1155/2022/44457512022Online publication date: 1-Jan-2022
    • (2022)Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature ReviewIEEE Transactions on Software Engineering10.1109/TSE.2021.311438148:10(4181-4213)Online publication date: 1-Oct-2022
    • (2022)Studying Ad Library Integration Strategies of Top Free-to-Download AppsIEEE Transactions on Software Engineering10.1109/TSE.2020.298339948:1(209-224)Online publication date: 1-Jan-2022
    • (2022)Measuring Energy Consumption of Insertion Sort to Establish Energy Consumption Dependency on Execution Time and Memory Allocation2022 International Conference on Future Trends in Smart Communities (ICFTSC)10.1109/ICFTSC57269.2022.10039867(247-250)Online publication date: 1-Dec-2022
    • (2022)Joint Optimization of Privacy and Cost of in-App Mobile User Profiling and Targeted AdsIEEE Access10.1109/ACCESS.2022.316615210(38664-38683)Online publication date: 2022
    • (2022)Privacy in targeted advertising on mobile devices: a surveyInternational Journal of Information Security10.1007/s10207-022-00655-x22:3(647-678)Online publication date: 24-Dec-2022
    • (2021)User profiling by network observersProceedings of the 17th International Conference on emerging Networking EXperiments and Technologies10.1145/3485983.3494859(212-222)Online publication date: 2-Dec-2021
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