Design of Concept and Draft Scenarios of DLP for DataLake based on Abyss Distributed Storage

6 pages•Published: May 14, 2020

Byungrae Cha, Sun Park, ByeongChun Shin, Sun-Kuk Noh and JongWon Kim

Abstract

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.

Keyphrases: abyss distributed storage, data lake, data loss prevention, security, shamir’s secret sharing

In: Tich Thien Truong, Trung Nghia Tran, Quoc Khai Le and Thanh Nha Nguyen (editors). Proceedings of International Symposium on Applied Science 2019, vol 3, pages 287-292.

Links:	https://easychair.org/publications/paper/8KcL
	https://doi.org/10.29007/dsmz

BibTeX entry

@inproceedings{ISAS2019:Design_Concept_Draft_Scenarios,
  author    = {Byungrae Cha and Sun Park and ByeongChun Shin and Sun-Kuk Noh and JongWon Kim},
  title     = {Design of Concept and Draft Scenarios of DLP for DataLake based on Abyss Distributed Storage},
  booktitle = {Proceedings of International Symposium on Applied Science 2019},
  editor    = {Tich Thien Truong and Trung Nghia Tran and Quoc Khai Le and Thanh Nha Nguyen},
  series    = {Kalpa Publications in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1770},
  url       = {/publications/paper/8KcL},
  doi       = {10.29007/dsmz},
  pages     = {287-292},
  year      = {2020}}

Download PDF Open PDF in browser