Security Measures in Distributed Approach of Cloud Computing

  • K. Shirisha Reddy
  • M. Bala RajuEmail author
  • Ramana Naik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)


Cloud computing has given a new approach of data accessing in a distributed manner, where the users has the advantage of higher data accessing feasibility. This approach works on the approach of outsourcing the storage requirements in public provider. The distributed approach has the advantage of low cost data accessing, scalable, location independent and reliable data management. It is observed that Conventional approaches are focused to achieve the objective of reliable and secure data access in cloud computing. However the signaling overhead in these approaches was not explored: in the exchange of control signal in cloud computing, it is needed that lower effort should be made for authentication and data integrity, so as more accessing provision exists. A new monitoring scheme is proposed to minimize the signaling overhead by monitoring record systems. In this paper, security issues also focused. In this process, at each of the data exchange, security risk arises, which are evaluated by different security measure such as Mean failure cost (MFC), and multi-dimensional failure cost (M2FC). To demonstrate our approach, To develop the suggested objectives, MATLAB interfacing with data feed toolbox was used, effectiveness of the proposed method has been shown by the experimental results.


Cloud computing MFC Distributed approach MATLAB Multi-dimensional failure cost 



I thank for the facilities provided by VBIT-FIST R&D for my research and implementation.


  1. 1.
    Jouini, M., Ben Arfa Rabai, L., Ben Aissa, A., Mili, A.: Towards quantitative measures of Information Security: A Cloud Computing case study. Int. J. Cyber-Security Digital Forensics (IJCSDF) 1(3), 265–279 (2012)Google Scholar
  2. 2.
    Jouini, M., Rabai, L.B.A.: Comparative study of information security risk assessment models for cloud computing systems, the 6th international symposium on frontiers in ambient and mobile systems (FAMS 2016). Procedia Comput Sci 83, 1084–1089 (2016)CrossRefGoogle Scholar
  3. 3.
    NIST. An introduction to computer security: The NIST handbook. Technical report, National Institute of Standards and Technology (NIST), Special Publication 800–12, Gaithersburg, MD: NIST (2012)Google Scholar
  4. 4.
    Hale, M., Gamble, R.: SecAgreement: Advancing security risk calculations in cloud services. In: Proceedings of 8th IEEE world congress on servicesmutum zico meetei and anita goel, ‘security issues in cloud computing’, 5th international conference on bio-medical engineering and informatics, 978-1-4673-1184-7 (2012)Google Scholar
  5. 5.
    Emam, A.H.M.: Additional authentication and authorization using registered email-id for cloud computing. Int J Soft Comput Eng 3(2), 110–113 (2013)Google Scholar
  6. 6.
    Aldossary, S., Allen, W.: Data security, privacy, availability and integrity in cloud computing: issues and current solutions (IJACSA). Int. J. Adv. Comput. Sci. Appl. 7(4) (2016)Google Scholar
  7. 7.
    Demchenko, Y., Gommans, L., De Laat, C.: Web Services and grid security vulnerabilities and threats analysis and model. In: Bas Oudenaarde, advanced internet research group, University of Amsterdam, Kruislaan 403, NL-1098 SJ Amsterdam, The Netherlands (2000)Google Scholar
  8. 8., -Amazon s3 availability event: July 20, 2008, Online at (2008)
  9. 9.
    ISO/IEC 27005:2007 Information technology-security techniques-information security risk management, Int’l Org. Standardization (2007)Google Scholar
  10. 10.
    Boehme, R., Nowey, T.: Economic security metrics. In: Irene, E., Felix, F., Ralf, R. (eds.) Dependability metrics, vol. 4909, pp. 176–187 (2008)Google Scholar
  11. 11.
    Wang, J.A., Xia, M., Zhang, F.: Metrics for information security vulnerabilities. Proc. Intellect. Base Int. Consortium 1, 284–294 (2009)Google Scholar
  12. 12.
    Saripalli, P., Walters, B.: QUIRC: a quantitative impact and risk assessment framework for cloud security. In: Proceedings of the IEEE 3rd international conference on cloud computing, pp. 280–288 (2009)Google Scholar
  13. 13.
    Mell, P., Grance, T.: Effectively and securely using the cloud computing paradigm. ACM Cloud Comput. Secur. Workshop (2009)Google Scholar
  14. 14.
    Miller, E.H.: A multiple-replica remote data possession checking protocol with public verifiability-2010 second international symposium on data, privacy, and e-commerce., -a note on reflector arrays (Periodical style—Accepted for publication),‖ IEEE Trans. Antennas Propagat., to be publishedGoogle Scholar
  15. 15.
    Ben Aissa, A., Abercrombie, R.K., Sheldon, F.T., Mili, A.: Quantifying security threats and their potential impact: a case study. Innovations Syst. Softw. Eng 6(1), 269–281 (2010)CrossRefGoogle Scholar
  16. 16.
    Ben Arfa Rabai, L., Jouini, M., Ben Aissa, A., Mili, A.: A cybersecurity model in cloud computing environments. J King Saud Univ. Comput. Inform. Sci. (2013)Google Scholar
  17. 17.
    Jouini, M., Ben Arfa Rabai, L.: A security risk management metric for cloud computing systems. Int. J. Organ. Collect. Intell. (IJOCI) 4(3), 1–21 (2014)CrossRefGoogle Scholar
  18. 18.
    IDG cloud computing survey, cloud continues to transform business landscape as CIOs explore new areas for hosting, (2014). Accessed 14 Jan 2016
  19. 19.
    Jouini, M., Ben Arfa Rabai, L.: Surveying and analyzing security problems in cloud computing environments. The 10th international conference on computational intelligence and security (CIS 2014), pp. 689–493 (2014)Google Scholar
  20. 20.
    Jouini, M., Ben Arfa Rabai, L.: Mean failure cost extension model towards a security threats assessment: a cloud computing case study. J. Comput. (JCP) 10(3):184–194 (2015)Google Scholar
  21. 21.
    Jouini, M., Ben Arfa Rabai, L., Ben Aissa, A.: Classification of security threats in information systems. ANT/SEIT 32:489–496 (2014)Google Scholar
  22. 22.
    Jouini, M., Ben Arfa Rabai, L., Khedri, R.A.: Multidimensional approach towards a quantitative assessment of security threats. ANT/SEIT, pp. 507–514 (2015)Google Scholar
  23. 23.
    Cloud security defence to protect cloud computing against HTTP-DoS and XML-DoS attacks, Ashley Chonka,YangXiang n, WanleiZhou, AlessioBonti, ElsevierGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringJNT UniversityKukatpally, HyderabadIndia
  2. 2.Department of Computer Science and EngineeringKITE, JNT UniversityKukatpally, HyderabadIndia
  3. 3.Department of Computer Science and EngineeringFarah Engineering CollegeChevella, HyderabadIndia

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