ACM Home Page
Please provide us with feedback. Feedback
A systematic approach for cell-phone worm containment
Full text PdfPdf (189 KB)
Source
International World Wide Web Conference archive
Proceeding of the 17th international conference on World Wide Web table of contents
Beijing, China
POSTER SESSION: Posters table of contents
Pages 1083-1084  
Year of Publication: 2008
ISBN:978-1-60558-085-2
Authors
Liang Xie  the Pennsylvania State University, State College, PA, USA
Hui Song  the Pennsylvania State University, State College, PA, USA
Trent Jaeger  the Pennsylvania State University, State College, PA, USA
Sencun Zhu  the Pennsylvania State University, State College, PA, USA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 25,   Downloads (12 Months): 104,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1367497.1367667
What is a DOI?

ABSTRACT

Cell phones are increasingly becoming attractive targets of various worms, which cause the leakage of user privacy, extra service charges and depletion of battery power. In this work, we study propagation of cell-phone worms, which exploit Multimedia Messaging Service (MMS) and/or Bluetooth for spreading. We then propose a systematic countermeasure against the worms. At the terminal level, we adopt Graphic Turing test and identity-based signature to block unauthorized messages from leaving compromised phones; at the network level, we propose a push-based automated patching scheme for cleansing compromised phones. Through experiments on phone devices and a wide variety of networks, we show that cellular systems taking advantage of our defense can achieve a low infection rate (e.g., less than 3% within 30 hours) even under severe attacks.


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
 
2
 
3
L. Ahn, M. Blum, N. Hopper, and J. Langford. CAPTCHA: Using Hard AI Problems for Security. In EUROCRYPT'03, 2003.
 
4
A. Barabasi and R. Albert. Emergence of scaling in random networks. In Science, pages 509--512, Oct., 1999.
5
6
 
7
E. Chien. Security response: Symbos.mabir, symantec, 2005.
 
8
E. Chien. Security response: Symbos.skull, symantec, 2004.
 
9
C. Mulliner, G. Vigna, D. Dagon, and W. Lee. Using labeling to prevent cross-service attacks against smartphones. In DIMVA'06, 2006.
 
10
M. Newman, S. Forrest, and J. Balthrop. Email networks and the spread of computer viruses. In Physical Review, 2002.
 
11

Collaborative Colleagues:
Liang Xie: colleagues
Hui Song: colleagues
Trent Jaeger: colleagues
Sencun Zhu: colleagues