Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64503
Title: Magic train : design of measurement methods against bandwidth inflation attacks
Authors: Zhou, P
Chang, R 
Gu, X
Fei, M
Jzhou, J
Keywords: Unpredictable packet train
Bandwidth measurement
Inflation attack
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on dependable and secure computing, 2015, v. PP, no. 99, p. 1-21 How to cite?
Journal: IEEE transactions on dependable and secure computing 
Abstract: Bandwidth measurement is important for many network applications and services, such as peer-to-peer networks, video caching and anonymity services. To win a bandwidth-based competition for some malicious purpose, adversarial Internet hosts may falsely announce a larger network bandwidth. Some preliminary solutions have been proposed to this problem. They can either evade the bandwidth inflation by a consensus view (i.e., opportunistic bandwidth measurements) or detect bandwidth frauds via forgeable tricks (i.e., detection through bandwidth’s CDF symmetry). However, smart adversaries can easily remove the forgeable tricks and report an equally larger bandwidth to avoid the consensus analyses. To defend against the smart bandwidth inflation frauds, we design magic train, a new measurement method which combines an unpredictable packet train with estimated round-trip time (RTT) for detection. The inflation behaviors can be detected through highly contradictory bandwidth results calculated using different magic trains or a train’s different segments, or large deviation between the estimated RTT and the RTT reported by the train’s first packet. Being an uncooperative measurement method, magic train can be easily deployed on the Internet. We have implemented the magic train using RAW socket and LibPcap, and evaluated the implementation in a controlled testbed and the Internet. The results have successfully confirmed magic train’s effectiveness in detecting and preventing smart bandwidth inflation attacks.
URI: http://hdl.handle.net/10397/64503
ISSN: 1545-5971
EISSN: 1941-0018
DOI: 10.1109/TDSC.2015.2509984
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