TY - GEN
T1 - A File-Level Continuous Data Protection Scheme for Enforcing Security Baseline
AU - Jiang, Xiangxiang
AU - Ma, Yuxi
AU - Zhao, Gang
AU - Kuang, Xiaohui
AU - Li, Yuanzhang
AU - Zhang, Ruyun
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Massive data is the basis of machine learning, and continuous data protection is an effective means to ensure data integrity and availability. At present, continuous data protection adopts the same backup strategy in different host security environments, ignoring the potential relationship between host security state and data destruction, resulting in a low utilization rate of backup storage space. To make better use of backup storage space and improve data recovery speed, this paper proposes a file-level continuous data protection scheme for enforcing security baseline (SB-CDP). SB-CDP combines a security baseline with continuous data protection to dynamically adjust the backup strategy based on the host security status provided by the security baseline. The experimental results show that, on the one hand, SB-CDP can effectively utilize the backup storage space, on the other hand, it can effectively improve the data recovery speed and reduce the impact on the system performance.
AB - Massive data is the basis of machine learning, and continuous data protection is an effective means to ensure data integrity and availability. At present, continuous data protection adopts the same backup strategy in different host security environments, ignoring the potential relationship between host security state and data destruction, resulting in a low utilization rate of backup storage space. To make better use of backup storage space and improve data recovery speed, this paper proposes a file-level continuous data protection scheme for enforcing security baseline (SB-CDP). SB-CDP combines a security baseline with continuous data protection to dynamically adjust the backup strategy based on the host security status provided by the security baseline. The experimental results show that, on the one hand, SB-CDP can effectively utilize the backup storage space, on the other hand, it can effectively improve the data recovery speed and reduce the impact on the system performance.
KW - File level continuous data protection
KW - Full backup
KW - Incremental backup
KW - Quantitative analysis
KW - Security baseline
UR - http://www.scopus.com/inward/record.url?scp=85097135524&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-62223-7_45
DO - 10.1007/978-3-030-62223-7_45
M3 - Conference contribution
AN - SCOPUS:85097135524
SN - 9783030622220
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 519
EP - 529
BT - Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Proceedings
A2 - Chen, Xiaofeng
A2 - Yan, Hongyang
A2 - Yan, Qiben
A2 - Zhang, Xiangliang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Machine Learning for Cyber Security, ML4CS 2020
Y2 - 8 October 2020 through 10 October 2020
ER -