In this paper, Our team organized an autonomous robot system that is made as well as executed to note environmental standards like temp, moisture, sky premium, and also hazardous gas attention. The robot possesses GPS coordinates as well as it may always keep files on the ThingSpeakIoT system. The mobile robot is regulated with a cell phone that runs an application built on the Android system. The whole system is discovered using a cost-efficient ARM-based inserted system called Arduino as well as additionally Raspberry Private detective which is consistent via a wireless network to the IoT system, where files are conserved, fine-tuned as well as may be accessed making use of a pc or any clever device originating from anywhere. The system might boost sensor details to IoT servers every 15 secs. The kept details might be utilized for extra customer review of the decline of pollution, additional energy and likewise supply a general dwelling establishing enlargement. The robot system has produced for cost-effective remote monitoring environmental guidelines with no human treatment to stay clear of health and wellness and also wellness threat properly. A proof-of-concept model has been established to reveal the performance of the proposed system.

Most popular computation technique in recent days is cloud computing, where we utilizing the virtual computing resources like processing data, and storage. Virtual computing environment is leads the customer lose control on his/her data, to answer this problem cloud computing has auditing techniques by cloud service provider (CSP), Third party auditor (TPA) by remote auditing data (RDA) methods. Cloud storage architectures are single tenant or multi tenant, where we compare the architectures, multi-tenancy cloud storages which contain the serious data privacy problem. To provide an efficient privacy solution for multi-tenancy cloud storage we apply RDA methods belongs to RDA taxonomy. In this paper we propose a technique to provide privacy on customer data on multi-tenant cloud storage with file attribute test.