TY - GEN
T1 - Coordinated dataflow protection for ultra-high bandwidth science networks
AU - Nagendra, Vasudevan
AU - Yegneswaran, Vinod
AU - Porras, Phillip
AU - Das, Samir R.
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/12/9
Y1 - 2019/12/9
N2 - The Science DMZ (SDMZ) is a special purpose network architecture proposed by ESnet (Energy Sciences Network) to facilitate distributed science experimentation on terabyte- (or petabyte-) scale data, exchanged over ultra-high bandwidth WAN links. Critical security challenges faced by these networks include: (i) network monitoring at high bandwidths, (ii) reconciling site-specific policies with project-level policies for conflict-free policy enforcement, (iii) dealing with geographically-distributed datasets with varying levels of sensitivity, and (iv) dynamically enforcing appropriate security rules. To address these challenges, we develop a fine-grained dataflow-based security enforcement system, called CoordiNetZ (CNZ), that provides coordinated situational awareness, i.e., the use of context-aware tagging for policy enforcement using the dynamic contextual information derived from hosts and network elements. We also developed tag and IP-based security microservices that incur minimal overheads in enforcing security to data flows exchanged across geographically-distributed SDMZ sites. We evaluate our prototype implementation across two geographically distributed SDMZ sites with SDN-based case studies, and present performance measurements that respectively highlight the utility of our framework and demonstrate efficient implementation of security policies across distributed SDMZ networks.
AB - The Science DMZ (SDMZ) is a special purpose network architecture proposed by ESnet (Energy Sciences Network) to facilitate distributed science experimentation on terabyte- (or petabyte-) scale data, exchanged over ultra-high bandwidth WAN links. Critical security challenges faced by these networks include: (i) network monitoring at high bandwidths, (ii) reconciling site-specific policies with project-level policies for conflict-free policy enforcement, (iii) dealing with geographically-distributed datasets with varying levels of sensitivity, and (iv) dynamically enforcing appropriate security rules. To address these challenges, we develop a fine-grained dataflow-based security enforcement system, called CoordiNetZ (CNZ), that provides coordinated situational awareness, i.e., the use of context-aware tagging for policy enforcement using the dynamic contextual information derived from hosts and network elements. We also developed tag and IP-based security microservices that incur minimal overheads in enforcing security to data flows exchanged across geographically-distributed SDMZ sites. We evaluate our prototype implementation across two geographically distributed SDMZ sites with SDN-based case studies, and present performance measurements that respectively highlight the utility of our framework and demonstrate efficient implementation of security policies across distributed SDMZ networks.
KW - Big Data Security
KW - Distributed Systems Security
KW - Human-centric Aspects of Security
KW - Network Security
KW - NFV
KW - SDN
KW - Software-defined Programmable Security
KW - Usability
UR - https://www.scopus.com/pages/publications/85077814741
U2 - 10.1145/3359789.3359843
DO - 10.1145/3359789.3359843
M3 - Conference contribution
AN - SCOPUS:85077814741
T3 - ACM International Conference Proceeding Series
SP - 568
EP - 583
BT - Proceedings - 35th Annual Computer Security Applications Conference, ACSAC 2019
PB - Association for Computing Machinery
T2 - 35th Annual Computer Security Applications Conference, ACSAC 2019
Y2 - 9 December 2019 through 13 December 2019
ER -