Applications of Machine Learning Algorithms for HDFS Big Data Security
K. Rajeshkumar, S. Dhanasekaran, V. Vasudevan · 2022 International Conference on Computer Communication and Informatics (ICCCI) · 2022
At present all the organisation using the automation which is necessary to find the solution for the particular task in fast manner. The machine learning is the fastest growing method that are used in the AI, Data Science, and most of the Computer Science fields, and Statistics. The Hadoop File Systems (HDFS) is used to store huge volume of big data. Machine Learning (ML) is a design techniques that are able to balance the aim of securing the personal data and make sure fairness with scientific investigation and to individual and public health. To provide privacy and security, we need to develop a new algorithm that must be familiarize with them. The cyber-attacks in the network access environments are moving fast due to the improvement of the internet. The cyber security condition is not sufficient. Now we are going to analysis the network that how the intruders enter into the systems/servers and accessing the information without our knowledge. In most of the environment all are using the some common network datasets. So we are going to discuss about the possible ways that are available to detect the intruders.