Open Science, Open Security

被引：0

作者：

Campbell, Scott ^{[1
]}

机构：

[1] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Natl Energy Res Sci Comp Ctr, Berkeley, CA 94720 USA

来源：

2014 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS) | 2014年

关键词：

Intrusion Detection; Security; High Performance Computing;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose that to address the growing problems with complexity and data volumes in HPC security wee need to refactor how we look at data by creating tools that not only select data, but analyze and represent it in a manner well suited for intuitive analysis. We propose a set of rules describing what this means, and provide a number of production quality tools that represent our current best effort in implementing these ideas.

引用

页码：584 / 587

页数：4

共 10 条

[1] [Anonymous], 2012, EXP INTR DET HIGH PE
[2] [Anonymous], SUSE LINUX ENTERPR 5
[3] [Anonymous], 5 LCI INT C LIN CLUS
[4] Campbell Scott, 2011, P 25 INT C LARG INST
[5] Gonzalez J., 2007, P ACM CCS
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Jain, Anubhav
Shyue Ping Ong
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Persson, Kristin A.
[J]. APL MATERIALS, 2013, 1 (01):
[7] McMahon Peter, 2006, SECURITY ARCHITECTUR
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[9] PAXSON V, 1998, P 7 USENIX SEC S SAN
[10] Pourzandi M., 2002, IEEE INT WORKSH CLUS

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