Knowledge Based Access Control a Model for Security and Privacy in the Big Data

  • Lamia El HaouraniEmail author
  • Anas Abou El Kalam
  • Abdelah Ait Ouahman
Conference paper
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)


The most popular features of Big Data revolve around the so-called “3 V” criterion: Volume, Variety and Velocity. Big Data is based on the massive collection and in-depth analysis of personal data, with a view to profiling, or even marketing and commercialization, thus violating citizens’ privacy and the security of their data. In this article we discuss security and privacy solutions in the context of Big Data. We then focus on access control and present our new model called Knowledge-based Access Control (KBAC); this strengthens the access control already deployed in the target company (e.g., based on “RBAC” role or “ABAC” attributes for example) by adding a semantic access control layer. KBAC offers thinner access control, tailored to Big Data, with effective protection against intrusion attempts and unauthorized data inferences.


Big data Privacy Security Access control model KBAC 


  1. 1.
    Spiller, K., Ball, K., Bandara, A., Meadows, M., McCormick, C., Nuseibeh B.: Data privacy: users’ thoughts on quantified self personal data (October 2017)Google Scholar
  2. 2.
    Porambage, P., Ylianttila, M., Schmitt, C., Kumar, P., Gurtov, A., Vasilakos, A.V.: The quest for privacy in the internet of things. IEEE Cloud Comput. (2016)Google Scholar
  3. 3.
    Jain, P., Gyanchandani, M., Khare N.: Big Data privacy: a technological perspective and review. J. Big Data (2016)Google Scholar
  4. 4.
    Xu, L., Jiang, C., Wang, J., Yuan, J., Ren Y.: Information security in Big Data: privacy and data mining. IEEE Access (2014)Google Scholar
  5. 5.
    Debatin, B., Jennette P. Lovejoy, Ann-Kathrin Horn M.A., Brittany N. Hughes Facebook and online privacy: attitudes, behaviors, and unintended consequences. J. Comput.-Mediat. Commun. (2009)Google Scholar
  6. 6.
    Cheng, H., Rong, C., Hwang, K., Wang, W., Li, Y.: Secure Big Data storage and sharing scheme for cloud tenants. China Commun. 12(6), 106–115 (2015)CrossRefGoogle Scholar
  7. 7.
    Mell, P., Grance, T.: The NIST definition of cloud computing. Natl. Inst. Stand. Technol. 53(6), 50 (2009)Google Scholar
  8. 8.
    Wei, L., Zhu, H., Cao, Z., Dong, X., Jia, W., Chen, Y., Vasilakos, A.V.: Security and privacy for storage and computation in cloud computing. Inf. Sci. (2014)Google Scholar
  9. 9.
    Xiao, Z., Xiao, Y.: Security and privacy in cloud computing. In: IEEE Trans on Communications Surveys and Tutorials, pp. 843–859 (2013)CrossRefGoogle Scholar
  10. 10.
    Fugkeaw, S., Sato, H.: Privacy-preserving access control model for Big Data cloud. In: Computer Science and Engineering Conference (ICSEC), 2015Google Scholar
  11. 11.
    Pasquier, I., Abou El Kalam, A., Ait Ouahman, A., Demontfort, M.: SmartOrBAC A new access control model for internet of things. In: The 14th International Conference on Cryptology and Network Security (CANS 2015) 10–12 Dec 2015, Morocco, Marrakesh, Lecture Notes in Computer Science (LNCS), SpringerGoogle Scholar
  12. 12.
    Frikken, K., Atallah, M., Jiangtao, F.: Attribute based access control. IEEE Trans. Comput. 55(10), (2006)CrossRefGoogle Scholar
  13. 13.
    Zeng, W., Yang, Y., Luo B.: Content-based access control: use data content to assist access control for large-scale content-centric databases. In: IEEE International Conference on Big Data (2014)Google Scholar
  14. 14.
    Zeng, W., Yang, Y., Luo, B.: Access control for Big Data using data content. In: IEEE International Conference on Big Data (2013)Google Scholar
  15. 15.
    Roy, S., Chuah M.: Secure data retrieval based on ciphertext policy attribute-based encryption (CP-ABE) System for the DTNs (2009)Google Scholar
  16. 16.
    Mehmood, A., Natgunanathan, I., Xiang, Y., Hua, G., Guo, S.: Protection of Big Data privacy. In: IEEE Translations and Content Mining are Permitted for Academic Research (2016)Google Scholar
  17. 17.
    Lu, R., Zhu, H., Liu, X., Liu, J.K., Shao, J.: Toward efficient and privacy preserving computing in Big Data era. In: IEEE Network (2014)Google Scholar
  18. 18.
    Hongbing, C., Chunming, R., Kai, H., Weihong, W., Yanyan L.: Secure Big Data storage and sharing scheme for cloud tenants. China Commun. (2015)Google Scholar
  19. 19.
    Xu, K., et al.: Privacy-preserving machine learning algorithms for Big Data systems. In: IEEE 35th International Conference Distributed Computing Systems (ICDCS) (2015)Google Scholar
  20. 20.
    Zhang, Y., Cao, T., Li, S., Tian, X., Yuan, L., Jia, H., Vasilakos, A.V.: Parallel processing systems for Big Data: a survey. In: Proceedings of the IEEE (2016)Google Scholar
  21. 21.
    Jain, P., Pathak, N., Tapashetti, P., Umesh, A.S.: Privacy preserving processing of data decision tree based on sample selection and singular value decomposition. In: 39th International, Conference on Information Assurance and Security (lAS) (2013)Google Scholar
  22. 22.
    Benjamin, C.M., Simon, K.W., Philip, S.: Privacy-preserving data publishing: a survey of recent developments (2014)Google Scholar
  23. 23.
    Unger, N., Goldberg I.: Improved strongly deniable authenticated key exchanges for secure messaging (2018)CrossRefGoogle Scholar
  24. 24.
    Xindong, W., Xingquan, Z., Gong-Qing, W., Ding, W.: Data mining with Big Data. IEEE Trans. Knowl. Data Eng. 97–107 (2014)Google Scholar
  25. 25.
    Senicar, V., Jerman-Blazic, B., Klobucar, T.: Privacy-enhancing technologies—approaches and development. Comput. Standar. Interfaces 25(2), 147–158 (2003)CrossRefGoogle Scholar
  26. 26.
    Bougouin, A., «État de l’art des méthodes d’extraction automatique de termes-clés» (2013)Google Scholar
  27. 27.
    Mothe, J., Ramiandrisoa, F.: «Extraction automatique de termes-clés :Comparaison de méthodes non supervisées» (2017)Google Scholar
  28. 28.
    Juanzi, L., Qi’na, F., Kuo, Z.: «Keyword extraction based on tf/idf for Chinese news document»; Wuhan Univ. J. Nat. Sci. (2007)Google Scholar
  29. 29.
    Slimani, T., Ben Yaghlane, B., Mellouli, K.: «Une extension de mesure de similarité entre les concepts d’une ontologie» In: SETIT 2007 4rth International Conference: Sciences of Electronic, Technologies of Information and Telecommunications (March 2007) Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Lamia El Haourani
    • 1
    Email author
  • Anas Abou El Kalam
    • 1
  • Abdelah Ait Ouahman
    • 1
  1. 1.National School of Applied SciencesMarrakeshMorocco

Personalised recommendations