Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Searching for open windows and unlocked doors: Port scanning in large-scale commodity clusters

Lee, AJ and Koenig, GA and Meng, X and Yurcik, W (2005) Searching for open windows and unlocked doors: Port scanning in large-scale commodity clusters. In: UNSPECIFIED UNSPECIFIED, 146 - 151. ISBN 0780390741, 9780780390744

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Current methods for monitoring the security of large-scale commodity clusters tend to treat these clusters as nothing more than collections of independent nodes. As such, the techniques used to secure these clusters have, for the most part, been adaptations of techniques developed for securing and monitoring enterprise computing environments. We have previously proposed the idea of monitoring the security-state of large-scale commodity clusters by examining their emergent properties, that is, properties that are only visible when one ceases to look at a cluster as a collection of disparate nodes and begins to look at the properties of the cluster as a whole. We show that by correlating the open network ports observed on cluster nodes with other emergent properties - such as active processes and the contents of important system files-security analysts can make insightful observations that can greatly restrict the actions that an attacker can carry out undetected. © 2005 IEEE.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Book Section
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lee, AJadamlee@pitt.eduADAMLEE
Koenig, GA
Meng, X
Yurcik, W
Date: 1 December 2005
Date Type: Publication
Journal or Publication Title: 2005 IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2005
Volume: 1
Page Range: 146 - 151
Event Type: Conference
DOI or Unique Handle: 10.1109/ccgrid.2005.1558546
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Refereed: Yes
ISBN: 0780390741, 9780780390744
Date Deposited: 05 Dec 2012 20:01
Last Modified: 02 Feb 2019 16:56
URI: http://d-scholarship.pitt.edu/id/eprint/16540

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item