An Efficient Management and Querying of Encrypted Architecture Text Platform by Encrypted Communication using ELK
B Prashanth Babu and K Ashok Babu A Ravi Kishore · International Journal for Modern Trends in Science and Technology · 2020
Due to its rapid evolution and rapid penetration in the industry, Big Data has become an important and essential instrument for data analysis and decision making.Providing data protection has therefore been a major problem for Large Data platforms.This research proposes a stable communication network by applying a particular scenario consisting of a series of software applications relevant to collecting, converting, and processing vast volumes of knowledge, often known as stack ELK; More specifically, in our plan, the data is sent encrypted from its source in workstations to be processed in Elasticsearch in encryption mode, thereby guaranteeing its secrecy.The findings indicate that the encryption method does not impact the productivity in the method of producing and distributing data packets.The method to protect the message information needs less than 2 milliseconds per data packet which meets the real-time monitoring requirements.