Privacy and Security issues in Big Data: Through Indian Prospective


BIG DATA is one of the emerging domain and performing a key role under several applications like, smart city, smart grid and intelligent transportation system, etc. In order to provide the real time services, Big Data has achieved a great success on the other side its counterpart is facing lot of challenges of privacy and security. Keeping in the view of real time access and services, security and privacy issues need to be given the highest priority. Personal and professional information's of an individual or an organization are globally available through cloud storage, which attract the attacker(s) and can be misused. Social media is very active and popular among the young generation, movement of very heavy traffic is involving under social environment, smart attackers capture the personal information from social environment and may create the problems against required information. As per the literature review number of proposals is available for the above mentioned issues but there is no guarantee of data privacy and security, therefore, still lot of scope is there for optimal or sub-optimal solutions. Motive of this study is to investigate the different challenges of big data for privacy and security through Indian prospective. We have collected the existing solutions for data privacy and security, and performed a comprehensive review by including their pros and cons. Impact areas of different cyber attacks have been investigated and covered in details. This study is not only preventing the data from fraud but also interested in knowing the culprit behind this fraud/attack.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask,hadoop Frontend :-python Backend:- MYSQL