Advertisement

Accessing Data in Healthcare Application

  • Gaurav Mitra
  • Souradeep Barua
  • Srijan Chattopadhyay
  • Sukalyan Sen
  • Sarmistha NeogyEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 969)

Abstract

Data centric applications generate large amount of data in no time. Depending on the application, the data may require protection from unauthorized use. Hence in a system with heterogeneous users data privacy is a challenge. Sensitive data protection may not only need valid authentication but also proper authorization. In case of healthcare application considered in the present work, authorization may not be the direct fallout of valid authentication. Instead, authorization may have to be provided keeping the relationship between user and information under consideration. We propose a novel way of designing a system that contains and protects sensitive information based on the relationship. This design allows storage and retrieval of information of multiple sensitivity levels in a hierarchical manner.

Keywords

Data sensitivity Storage Cryptographic hash function Access control Relational database NoSQL 

References

  1. 1.
    Sujoy, B., et al.: Fusion: managing healthcare records at cloud scale. IEEE Comput. 45, 42–49 (2012)Google Scholar
  2. 2.
    Ateniese, G., Fu, K., Green, M., Hohenberger, S.: Improved proxy re-encryption schemes with applications to secure distributed storage. ACM Trans. Inf. Syst. SecurGoogle Scholar
  3. 3.
    Samanthula, B.K., Howser, G., Elmehdwi, Y., Madria, S.: An efficient and secure data sharing framework using homomorphic encryption in the cloudGoogle Scholar
  4. 4.
    William, G.: A survey on private information retrieval. Bull. EATCS 82, 1 (2004)zbMATHGoogle Scholar
  5. 5.
    Ahmed, L., Hadjidj, A., Bouabdallah, A., Challal, Y.: Secure and scalable cloud-based architecture for e-health wireless sensor networks. In: 21st International Conference on Computer Communications and Networks (ICCCN), pp. 1–7. IEEE (2012)Google Scholar
  6. 6.
    Yu, S., Wang, C., Ren, K., Lou, W.: Achieving secure, scalable, and fine-grained data access control in cloud computing. In: INFOCOM, Proceedings, pp. 1–9 . IEEE (2010)Google Scholar
  7. 7.
    di Vimercati, S.D.C., Foresti, S., Samarati, P.: Selective and fine-grained access to data in the cloud. In: Jajodia, S., Kant, K., Samarati, P., Singhal, A., Swarup, V., Wang, C. (eds.) Secure Cloud Computing, pp. 123–148. Springer, New York (2014).  https://doi.org/10.1007/978-1-4614-9278-8_6CrossRefGoogle Scholar
  8. 8.
    Saha, S., Parbat, T., Neogy, S.: Designing a secure data retrieval strategy using NoSQL database. In: Krishnan, P., Radha Krishna, P., Parida, L. (eds.) ICDCIT 2017. LNCS, vol. 10109, pp. 235–238. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-50472-8_20CrossRefGoogle Scholar
  9. 9.
    Monton, E., et al.: Body area network for wireless patient monitoring. IET Commun. 2(2), 215–222 (2008)CrossRefGoogle Scholar
  10. 10.
    Zhou, X., Tang, X.: Research and implementation of RSA algorithm for encryption and decryption. In: 6th International Forum on Strategic Technology (IFOST), vol. 2. IEEE (2011)Google Scholar
  11. 11.
    Rivest, R.: The MD5 message-digest algorithm (1992)Google Scholar
  12. 12.
    Saha, S., Das, R., Dutta, S., Neogy, S.: A cloud security framework for a data centric WSN application. In: Proceedings of the 17th International Conference on Distributed Computing and Networking. ACM (2016)Google Scholar
  13. 13.
    Neogy, S., Sinha, A., Das, P.K.: Checkpoint processing in distributed systems software using synchronized clocks. In: Proceedings of IEEE International Conference on Information Technology Coding and Computing ITCC-2001, pp. 555–559 (2001)Google Scholar
  14. 14.
    Biswas, S., Neogy, S.: Checkpointing and recovery using node mobility among clusters in mobile ad hoc network. In: Proceedings of the Fourth International Conference on Networks and Communications, NECOM 2012. AISC 176, pp. 447–456 (2012)CrossRefGoogle Scholar
  15. 15.
    Chowdhury, C., Neogy, S.: A consistent checkpointing-recovery protocol for minimal number of nodes in mobile computing system. In: Aluru, S., Parashar, M., Badrinath, R., Prasanna, V.K. (eds.) HiPC 2007. LNCS, vol. 4873, pp. 599–611. Springer, Heidelberg (2007).  https://doi.org/10.1007/978-3-540-77220-0_54CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Gaurav Mitra
    • 1
  • Souradeep Barua
    • 1
  • Srijan Chattopadhyay
    • 1
  • Sukalyan Sen
    • 1
  • Sarmistha Neogy
    • 1
    Email author
  1. 1.Jadavpur UniversityKolkataIndia

Personalised recommendations