Data Sharing using BFID Encryption for Privacy Preseration of Data in Cloud

The most important functionality in cloud storage is data sharing. With the advent of cloud computing [1], data owners are motivated to outsource their complex data management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for protecting data privacy and integrity, sensitive data have to be encrypted before outsourcing, which causes the need of traditional data utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount importance.Typically cloud computing is a combination of computing recourses accessible via internet. Historically the client or organizations store data in data centers with firewall and various security techniques used to protect data against intrudes to access the data. Since the data was contained to data centers in limits of organisation, the control over the data was more and well defined procedures could be used for accessing its own data. Howeverin cloud computing, since the data is stored anywhere across the world, the client organizations have less control over the stored data.Identity-Based Encryption (IBE) which is used to simplifies the public key and certificate management at Public Key Infrastructure (PKI) is an important alternative to public key encryption. Identity-based encryption (IBE) is an important aspect of ID-based cryptography. As such it is a type of public-key encryption in which the public key of a user is provides unique information about the identity of the user (e.g. a user's Identification). This can use the text-value of the name or domain name as a key or the physical IP address it translates to

Big Data Analysis on COVID-19

Over the past 2 years, the Coronavirus has rapidly spread to all parts of the world. Scientist and researchers are continuing their research to find a permanent cure. As the number of cases are increasing, so the tests are for Coronavirus is increasing rapidly, it is impossible to maintain data of test due to the time and cost factors. Big data is very helpful to maintain the track record of the COVID-19 infected patients in a very systematic way and will reduce the time delay for the results of the medical tests and modulate doctors to give proper medical treatment to the infected person. Big data analytics play an important role in building knowledge, studies required in making decisions and precautionary measures. However, due to the vast amount of data available on COVID-19 from various sources, there is a need to review the roles of big data analysis in controlling and tracking the spread of COVID-19, presenting the main challenges and directions of COVID-19 data analysis, as well as providing a framework on the related existing applications and studies to facilitate future research on COVID-19 analysis. Keywords-big data analytics, 2019 novel coronavirus disease (COVID-19)

Review on Big Data Analysis on COVID-19

Big data analytics is in transforming stage and it will continue to grow and contribute in different area like health. In recent past we have been gone through biggest health issue of the century and it taught us a lesson that in this modern world, technology with relevant data can help to us reduce any human challenge. COVID 19 is that health issue which we faced and suffered a lot. Big data provided us a platform which help us to create an accurate and most trusted data base to analyze, track and tackle this situation. Big data provides an elaborate set of attributes, details of infected patient in very explanatory

Effect of change in Volume Fraction on Mechanical Properties of Glass Fiber/Epoxy Resin Composites

This study deals with the experimental investigation of mechanical properties of glass fiber/epoxy composite material with variation in volume fraction of fiber in the composites. For manufacturing of composites combined hand layup and compression molding methods are used. The volume fraction of fiber is maintained about 40%, 50% & 60% in the total composition.  With the help of experimental testing the mechanical properties such as tensile strength, shear strength, hardness and impact strength are determined. The variation of these properties with variation in volume fraction is studied also the results of tensile testing are validated in ANSYS 15.0. The results shows better mechanical properties with 50% of Volume fraction, however further increase in fiber content increases mechanical properties but composites starts delaminating. So at the end we got the material with 50:50 compositions is better for application with optimum strength