Open AccessDesign of Concept and Draft Scenarios of DLP for DataLake based on Abyss Distributed Storage
Author(s) -
ByungRae Cha,
Sun Park,
Bo Sung Shin,
Sun-Kuk Noh,
Jong-Won Kim
Publication year - 2020
Publication title -
kalpa publications in engineering
Language(s) - English
Resource type - Conference proceedings
ISSN - 2515-1770
DOI - 10.29007/dsmz
Subject(s) - computer science , cloud computing , software , distributed data store , filter (signal processing) , data stream mining , rest (music) , real time computing , computer security , distributed computing , operating system , data mining , computer vision , medicine , cardiology
Data loss prevention (DLP) is a set of tools and processes used to ensure that sensitive data is not lost, misused, or accessed by unauthorized users. The software and tools of DLP monitor and control endpoint activities, filter data streams on corporate networks, and monitor data in the cloud to protect data at rest, in motion, and in use. And in this study, we have designed the concept and draft scenarios of DLP for DataLake based on Abyss distributed storage cluster.