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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
CLOUD MALICIOUS MACHINE DETECTION USING SECOND ORDER MARKOV MODEL TRUST
Authors
Mohamed Manzoor Ul Hassan
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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
Author type - N
Page Number(s) - f463-f469
Pubished in - Volume 9 | Issue 5 | May 2021
DOI (Digital Object Identifier) -
No Of Downloads - 1174
Author Country - India, -, -, -, -, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2105598
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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 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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