Skip to main content

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 31))

Included in the following conference series:

  • 1795 Accesses

Abstract

The increase use of data in the businesses have proved to be profitable but also provides serious threats in form of data leakage, protection and infringement. The company provides sensitive data to the employees but the data is most likely to be leaked. Data protection must be provided to all forms of data. Data protection should be provided in such a way that it strikes balance between data allowance and data rights to the user as well as owner. The level or extent of protection varies with methods used. In this review paper, numerous methods for protecting data from leakage, unauthorized access, unfair use etc. are compared.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

References

  1. Papadimitriou, P., Garcia-Molina, H.: A study on video browsing strategies. IEEE Trans. Knowl. Data Eng. 23(1) (2011)

    Google Scholar 

  2. Lahoud, H.A., Tang, X.: Information security labs in IDS/IPS for distance education. In: SIGITE 2006 (2006)

    Google Scholar 

  3. Dhiren, M., Joshi, H., Patel, B.K.: Towards application classification with vulnerability signature for IDS/IPS. In: SecurIT 2012 (2012)

    Google Scholar 

  4. Williamson, S.A., Varakantham, P., Gao, D., Chen, O.: Active malware analysis using stochastic games. In: 11th International Conference on Autonomous Agents and Multiagent Systems—Innovative Applications Track, AAMAS (2012)

    Google Scholar 

  5. Wikipedia. http://en.wikipedia.org/wiki/WikiLeaks (2008). Frost, Sullivan. World Data Leakage Prevention Market. Technical report ND34D-74

  6. IDS AND IPS Placement for Network Protection. http://www.infosecwriters.com/text_resources/pdf/

  7. Rutkowska, J.: Introducing stealth malware taxonomy. COSEINC (2006)

    Google Scholar 

  8. SearchSecurity. http://searchsecurity.techtarget.com/definition/security-information-and-event-management-SIEM

  9. Ye, Y., Li, T., Zhu, S., Zhuang, W., Tas, E., Gupta, U., Abdulhayoglu, M.: Combining file content and file relations for cloud based malware detection. In: KDD 2011 (2011)

    Google Scholar 

  10. Kale, S.A., Kulkarni, S.V.: Data leakage detection: a survey. IOSR J. Comput. Eng. (IOSRJCE) 1(6), 32–35 (2012)

    Article  Google Scholar 

  11. Umamaheswari, S., Geetha, H.A.: Detection of guilty agents. In: Proceedings of National Conference on Innovations Emerging Technology (2011)

    Google Scholar 

  12. Mishra, R., Chitre, R.K.: Data leakage and detection of guilty agent. Int. J. Sci. Eng. Res. (2012)

    Google Scholar 

  13. Kale, S.A., Kulkarni, S.V.: Data leakage detection. Int. J. Adv. Res. Comput. Commun. Eng. 1(9), 668–678 (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Divyang Kaushik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kaushik, D., Mathew, R. (2020). Review of Data Protection Technique. In: Pandian, A.P., Senjyu, T., Islam, S.M.S., Wang, H. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-030-24643-3_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-24643-3_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24642-6

  • Online ISBN: 978-3-030-24643-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics