Skip to main content

Zip Zap Data—A Framework for ‘Personal Data Preservation’

  • Conference paper
  • First Online:
Data Management, Analytics and Innovation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1042))

Abstract

In the era of Mobile devices, a huge volume of mobile applications produces vast and variety of data in their own formats. There is every chance that most of these data will be lost or gone forever. Let us explain how, technically any digital data becomes irretrievable if there is a change of data format or a change in application interpreting it or a change in platform feature used by the application and your app did not change to accommodate it. In simple terms, if you try to upgrade your mobile—there are a lot of possibilities that data from your previous mobile could be lost forever. Reason for loss could be your newer device comes with some obsolete platform features and hence some of your applications no longer run in the new device as developer decided to discontinue that app. Even more pressing issue is there is no way to transfer application data from old to a new device and this is very common with mobile apps. The root cause for this is the lack of backup and retrieval mechanisms in devices and applications. We studied various approaches and research works related to this problem and proposed ‘Zip Zap Data’, a framework for effective backup and recovery of personal digital data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. https://en.wikipedia.org/wiki/Information_privacy

  2. Gupta, V.H., Gopinath, K.: An extended verifiable secret redistribution protocol for archival systems. In: International Conference on Availability, Reliability and Security (ARES) (2006)

    Google Scholar 

  3. Song, C., Park, S., Kim, D., Kang, S.: Parity Cloud service: a privacy-protected personal data recovery service. In: IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications (2011)

    Google Scholar 

  4. Raje, M., Mukhopadhyay, D.: Algorithm for back-up and recovery of data stored on cloud along with authentication of the user. In: International Conference on Information Technology (ICIT) (2015)

    Google Scholar 

  5. Bhargavi, I., Padmaja, M., Ammayappan, K.: Securing BIG storage: present and future. In: Online International Conference on Green Engineering and Technologies (IC-GET) (2016)

    Google Scholar 

  6. Kelly, M., Nelson, M.L., Weigle, M.C.: A framework for aggregating private and public web archives. In: JCDL ‘18 Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries (2018)

    Google Scholar 

  7. Pocatilu, P., Boja, C., Ciurea, C.: Syncing Mobile Applications with Cloud Storage Services. Inform. Econom. 17(2/2013) (2013)

    Article  Google Scholar 

  8. http://www.techradar.com/how-to/phone-and-communications/how-to-backup-your-android-device-1298811

  9. ZipZapData SDK and Sample Apps. https://github.com/zipzapdat/

  10. Rothenberg, J.: Ensuring the longevity of digital documents. Sci. Am. 272(1), 42–47 (1995)

    Article  Google Scholar 

  11. Arunkumar, K., Devendran A.: Digital data preservation—a viable solution. In: Data Management, Analytics and Innovation, pp 129–141 (2018)

    Google Scholar 

  12. https://www.statista.com/statistics/241462/global-mobile-phone-website-traffic-share/

  13. https://tools.ietf.org/html/rfc7089

  14. Poursardar, F., Shipman, F.: What is part of that resource? User expectations for personal archiving. In: JCDL ‘17 Proceedings of the 17th ACM/IEEE on Joint Conference on Digital Libraries (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Devendran .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Arunkumar, K., Devendran, A. (2020). Zip Zap Data—A Framework for ‘Personal Data Preservation’. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1042. Springer, Singapore. https://doi.org/10.1007/978-981-32-9949-8_23

Download citation

  • DOI: https://doi.org/10.1007/978-981-32-9949-8_23

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9948-1

  • Online ISBN: 978-981-32-9949-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics