Increasing Security of Database During Car Monitoring

Abstract

Nowadays, a vast data flow causes quite a problem in several sectors. One of the issues related to information growth and data volume is their appropriate storage and the securing of the data processing related security and its protection. In this era, where the data are a very sensitive commodity, an attack or data loss can mean losing user trust. Various researchers have dealt precisely with these ideas. They figured out several effective methods of preventing data loss and how to reduce attack amount either on a database or on a web site. Big data, which currently has a significant role in many statistics, are susceptible to various data losses, steal, or deletion. Possible data deletion can lead to a wrong decision about a transport situation prediction task, inaccurate result in decision support, or even to lousy diagnosis prediction in medicine. This vast amount of the problems led to the significant data amount and their security problem solution. Our article relates to data security in situations with substantial real data amount in time, which are entering the system. We suggest effective data distribution methods and a mechanism for data transfer from a database to data storage according to individual records’ time parameters.