Integrated Security Systems using Big Data
S. Uma Maheswara Rao, L. Lakshmanan · 2022 International Conference on Inventive Computation Technologies (ICICT) · 2022
Big data is the domain that processes large datasets from various online sources. Big data is not suitable for processing small datasets. This domain works very efficiently on large datasets. By using a single system it is not possible to run the large datasets, so it is important to run the large datasets by using multiple datasets. Many applications generate large data day by day. Applications such as e-commerce, networking, banking and tours, travels, etc. Security is most widely used by many applications to secure big data. Many companies are processing sensitive and secure data to prevent attacks on data. Various threats attack such data and hold these data at high risk. To overcome this new integrated security is required to secure and provide privacy for the large data. Previously, many existing approaches are applied to this big data, but these are not capable of handling the big data with security. The proposed approach is developed by unique security system with map-reduce algorithms. Map-reduce is the technique that uses parallel processing algorithms for the efficient processing of data.