Trust Prediction: Use of Decision Tree in Training & Evaluation

-22b9b34417bc6092a744f17 20220225051433749 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 03 30 2022 11 4 Trust Prediction: Use of Decision Tree in Training & Evaluation Professor, Department of Information Technology, Jagan Institute of Management Studies, New Delhi, India Dr. Archana B Saxena Dr. Deepti Sharma Associate Professor, Department of Information Technology, Jagan Institute of Management Studies, New Delhi, India. Dr. Deepshikha Aggarwal Professor, Department of Information Technology, Jagan Institute of Management Studies, New Delhi, India. The growth of Cloud Computing is the outcome of numerous benefits associated with this technology. Like: Reduce Energy consumption, waste & carbon emission and affluence & Comfort of its working apparatus. At the same point of time its security concern is making vibrations in the research Community and regulating organizations to find the means of making it a secure and reliable stream where consumers’ interests are ensured & protected. More uncertainty arises in this sector, when data theft cases are cracked up and consumers have compromised some confidential details due to intentional or unintentional action of Cloud providers. It leads the need of Trust evaluation of the provider. This trust evaluation should be in the quantitative terms and completed before selection & registration with the provider for cloud services. This paper is using predictive modeling technique to predict the trust level of the provider. Classification, a supervised Machine Learning technique that uses certification attainment status of the provider to predict its trust level. 03 30 2022 19 23 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9783.0311422 https://www.ijitee.org/portfolio-item/c97830311422/