ACM Home Page
Please provide us with feedback. Feedback
On the race of worms, alerts, and patches
Full text PdfPdf (924 KB)
Source IEEE/ACM Transactions on Networking (TON) archive
Volume 16 ,  Issue 5  (October 2008) table of contents
Pages 1066-1079  
Year of Publication: 2008
ISSN:1063-6692
Authors
Milan Vojnovic  Microsoft Research Ltd., Cambridge, UK
Ayalvadi J. Ganesh  Microsoft Research Ltd., Cambridge, UK
Publisher
IEEE Press  Piscataway, NJ, USA
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 52,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: 10.1109/TNET.2007.909678

ABSTRACT

We provide an analytical framework for evaluating the performance of automatic patching systems. We use it to quantify the speed of patch or alert dissemination required for worm containment. Motivated by scalability and trust issues, we consider a hierarchical system where network hosts are organized into subnets, each containing a patch server (termed superhost). Patches are disseminated to superhosts through an overlay connecting them and, after verification, to end hosts within subnets. The analytical framework accommodates a variety of overlays through the novel abstraction of a minimum broadcast curve. It also accommodates filtering of scans across subnets. The framework provides quantitative estimates that can guide system designers in dimensioning automatic patching systems. The results are obtained mathematically and verified by simulation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
M. Vojnovic and A. Ganesh, "On the Race of Worms, Alerts, and Patches," Microsoft Research, Tech. Rep. TR-2005-13, Feb. 2005.
 
2
M. Castro, P. Druschel, M. Jones, A.-M. Kermarrec, A. Rowstron, and M. Theimer, SimPastry Version 1.1. 2002 [Online]. Available: http:// www.research.microsoft.com/~antr/pastry/download.htm
3
4
 
5
Witty worm. 2005 [Online]. Available: http://www.caida.org/analysis/ security/witty
 
6
G. Kesidis, I. Hamadeh, and S. Jiwasurat, "Coupled Kermack-McKendrick model for randomly scanning worms and bandwidth-staturating internet worms," in Proc. QoS-IP, Feb. 2005.
 
7
 
8
D. Moore, C. Shannon, G. M. Voelker, and S. Savage, "Internet quarantine: Requirements for containing self-propagating code," in IEEE INFOCOM 2003, San Francisco, CA, Mar. 2003.
9
 
10
 
11
N. Weaver, S. Staniford, and V. Paxson, "How to own the Internet in your spare time," in IEEE Security & Privacy, 2004.
 
12
A. Shwartz and A. Weiss, Large Deviations for Performance Analysis . London: Chapman & Hall, 1995.
 
13
 
14
S. Staniford, "Containment of scanning worms in enterprise networks," IEEE Comput. Security Privacy, vol. 3, no. 6, pp. 41-49, Nov./Dec. 2005.
 
15
 
16
 
17
 
18
E. Zegura and S. Bhattacharjee, "How to model an internetwork," in IEEE INFOCOM'96, San Francisco, CA, 1996.


Collaborative Colleagues:
Milan Vojnovic: colleagues
Ayalvadi J. Ganesh: colleagues