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DOMINO: a system to detect greedy behavior in IEEE 802.11 hotspots
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Source International Conference On Mobile Systems, Applications And Services archive
Proceedings of the 2nd international conference on Mobile systems, applications, and services table of contents
Boston, MA, USA
SESSION: Communication over wireless LANs table of contents
Pages: 84 - 97  
Year of Publication: 2004
ISBN:1-58113-793-1
Authors
Maxim Raya  EPFL, Switzerland
Jean-Pierre Hubaux  EPFL, Switzerland
Imad Aad  EPFL, Switzerland
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
USENIX: USENIX Association
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 16,   Downloads (12 Months): 96,   Citation Count: 31
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ABSTRACT

The proliferation of hotspots based on IEEE 802.11 wireless LANs brings the promise of seamless Internet access from a large number of public locations. However, as the number of users soars, so does the risk of possible misbehavior; to protect themselves, wireless ISPs already make use of a number of security mechanisms, and require mobile stations to authenticate themselves at the Access Points (APs). However, IEEE 802.11 works properly only if the stations also respect the MAC protocol. We show in this paper that a greedy user can substantially increase his share of bandwidth, at the expense of the other users, by slightly modifying the driver of his network adapter. We explain how easily this can be performed, in particular with the new generation of adapters. We then present DOMINO (System for Detection Of greedy behavior in the MAC layer of IEEE 802.11 public NetwOrks), a piece of software to be installed in the Access Point. DOMINO can detect and identify greedy stations, without requiring any modification of the standard protocol at the AP and without revealing its own presence. We illustrate these concepts by simulation results and by the description of our prototype.


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.

 
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CITED BY  31

Collaborative Colleagues:
Maxim Raya: colleagues
Jean-Pierre Hubaux: colleagues
Imad Aad: colleagues