A Novel Technique for Data Integrity Using Block Verification in Cloud Computing

Kumar, D. Girish; Biradar, Rajashree V; Patil, Venkanagouda C

doi:10.1166/jctn.2018.7636

Cited by 3 publications

(2 citation statements)

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“…In [8], the author clearly specified how data will be fragmented into blocks which in turn will provide security for the stored data. In [9] the author implemented the concept of providing data verification for the stored data in au untrusted cloud server is been done.…”

Section: IImentioning

confidence: 99%

Covid-19 Indoor Monitoring System with Human Identification

D¹

2021

IJRASET

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Covid-19 has become the worst of all pandemics seen with over 63,549,184 active cases recorded globally as on January 16, 2021. India alone has 10,553,529 active cases till date. It has brought on a new era and new way of life-rather reality where in safety has become a must for survival. Form the statistics it is observed that the number of active cases and health rate have only increased abruptly post lockdown even after implementing the guidelines proposed by the government to tackle the problem of the hour. since fever is developed in most communicable diseases, body temperature monitoring is effective for such disease, body temperature monitoring is effective for the prevention of outbreak of such diseases. Covid-19 being one of such, temperature records of symptoms and it is checked prior to allowing a person in, In social stratum it is done by person one should hold the temperature gun at entrance, and the sensor records is often inaccurate. This method also involves two people standing close, which itself is a problem in social-distancing rule. In this paper to design and develop Covid-19 indoor safety Monitoring with human identification using iot based devices. social distancing- since we use hands-free temperature sensing method which records the accurate temperature as well as human identification. Keywords: IOT, Indoor-safety, Human Identification with high Temperature.

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Section: IImentioning

confidence: 99%

Covid-19 Indoor Monitoring System with Human Identification

D¹

2021

IJRASET

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“…Here load balancing plays a very important role in real time applications. Virtual machines are being used in order to solve these kind of issues but still load balancing is one of the issues which has to be addressed in order to achieve scalability and along with that still there are security, availability, integrity [2] and many more. Load balancing is the process of distributing the load across various virtual machines and concurrent execution of all the task has to be carried out without any delay and should get accurate results.…”

Section: Introductionmentioning

confidence: 99%

Effective Load Balancing Mechanism for Migration of Virtual Machine in Dynamic Cloud Environment

D¹

2022

JUSST

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Cloud Computing is a technology which is widely been used by most of the organizations to carry out their business and day by day many users are using cloud to perform their day to day activities, this increases the load on the virtual machines in the data centers to effectively perform load balancing, such that resources are effectively utilized. In this paper we proposed an algorithm for dynamically handling the load balancing in the virtual machines migration at the data centers such that the processing time, response time, data transfer cost is being minimized. The results after simulation clearly shows that the proposed system has better load balancing of resources in dynamic cloud environment.

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Road Scenario Perception for Self Driving Vehicles

Shiva Kumar,

Jalade

et al. 2024

2024 Second International Conference on Advances in Information Technology (ICAIT)

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A Novel Technique for Data Integrity Using Block Verification in Cloud Computing

Cited by 3 publications

References 0 publications

Covid-19 Indoor Monitoring System with Human Identification

Covid-19 Indoor Monitoring System with Human Identification

Effective Load Balancing Mechanism for Migration of Virtual Machine in Dynamic Cloud Environment

Road Scenario Perception for Self Driving Vehicles

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