An Effective Framework to Provide Optimized Security in Big Data Environments
D. Angelin Benita · International Journal for Research in Applied Science and Engineering Technology · 2018
The Buzz word in the industry of late is the Big Data.It is the most talked about term across multiple domains which directly or indirectly profit from the usage of this technology.In short Big Data can be called as an enlarged version of data mining.It can be said as such because the size quantum of data being used here are exponentially huge.Not only is the size of data is huge, also the problems we encounter in data mining also magnify into huge proportions and the worst news is that the traditional methods used in data mining won't work for Big Data, simple because the size of the data is huge.Hence it throws open a huge field with varied research potential.Here in this work, a novel approach is presented to tackle the problems pertaining to security.Security implementation methods are a double edged sword.Too much security leads to inefficiency and too little leads to compromise of data.Balancing this is the key to success in any application.But in Big Data apart from this balancing act, the huge quantum of data makes traditional approaches of security time consuming.Hence a unique strategy is proposed here that not only provides the right security but it can also deal with the huge quantum of data.