Big Data Approach towards Networking, Data Transfer, IOT and Security: A Review

Abstract

Big Data has emerged as an advanced discovery for large scale data collection. Data generated by large instruments that generates semi structured and unstructured information. This information must be analysed using big data tools and must be listed and stored in such a way that it can be used for further references and usages. Data transfer is now an essential function for various discoveries, particularly within big data environments. There are various time-constraints, performance constraint. Combing the technology of Internet devices and Big Data which helps in analyzing and processing a large number of data sets that is collected from heterogeneous sources, which in turn are characterized by weak structuring and high speed of updating. Malicious attacks that can eventually prevent network services are unavoidable. Thus, in this Big data technology, particularly machine learning, has been widely used for intrusion/anomaly detection, little has been done in networking that is developed by software.