Big Data Privacy and Challenges for Machine Learning

The field of Big Data is expanding at an alarming rate since its inception in 2012. The excessive use of Social Networking Sites, collection of Data from Sensors for analysis and prediction of future events, improvement in Customer Satisfaction on Online S hopping portals by monitoring their past behavior and providing them information, items and offers of their interest instantaneously, etc had led to this rise in the field of Big Data. This huge amount of data, if analyzed and processed properly, can lead to decisions and outcomes that would be of great values and benefits to organizations and individuals. Security of Data and Privacy of User is of keen interest and high importance for individuals, industry and academia. Everyone ensure that their Sensitive information must be kept away from unauthorized access and their assets must be kept safe from security breaches. Privacy and Security are also equally important for Big Data and here, it is typical and complex to ensure the Privacy and Security, as the amount of data is enormous. One possible option to effectively and efficiently handle, process and analyze the Big Data is to make use of Machine Learning techniques. Machine Learning techniques are straightforward; applying them on Big Data requires resolution of various issues and is a challenging task, as the size of Data is too big. This paper provides a brief introduction to Big Data, the importance of Security and Privacy in Big Data and the various challenges that are required to overcome for applying the Machine Learning techniques on Big Data.

I. Introduction

The recent trends and technological developments in the field of networking, computing and telecommunications have led to the generation of an enormous amount of data every day. This enormous amount of data is being generated through various sources like Social Networking Sites, Scientific Research and Computations, Sensor-based Systems, Internet, Government Organizations, Digitization Initiatives, Customer Feedbacks, Reviews, Blogs and many more. This enormous amount of data generated through various Sources in high Volume and different formats and different types is referred to as the “Big Data” [1] [2]. This enormous amount of data is available in various types, such as Text, Videos, Audios, Images, Graphs and others [3].