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  Published Paper Details:

  Paper Title

CLOUD MALICIOUS MACHINE DETECTION USING SECOND ORDER MARKOV MODEL TRUST

  Authors

  Mohamed Manzoor Ul Hassan

  Keywords

Data Mining, Cloud Computing, Markov Model, Trust Evaluation, Virtual Machine.

  Abstract


Virtual machine incorporation increases the strength of cloud environment. Flexibility of user depends on easy availability of infrastructure at any instance during the service. This easiness brings many challenges that need to overcome and monitor continuously for the smoothness of cloud service. Out of different cloud issue this paper has resolved on malicious machine detection issue. Trust of virtual machines were evaluated by second order markov model, as per behavior noticed by the centralized datacenter. Trust value of each VM either old or new in cloud were evaluate after a fix time frame. This work dynamically adopt the sequential behavior among the machines as per assign job completion. Proposed model was robust against gray and distributed attacks. Experiment was done in these attacked environment and comparison of proposed model was done with existing techniques. Results shows that proposed second order markov model trust (SOMMT) has higher detection efficiency of malicious VM.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105598

  Paper ID - 205963

  Page Number(s) - f463-f469

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mohamed Manzoor Ul Hassan,   "CLOUD MALICIOUS MACHINE DETECTION USING SECOND ORDER MARKOV MODEL TRUST", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.f463-f469, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105598.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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