TY - JOUR
T1 - Random linear network coding for peer-to-peer applications
AU - CHU, Xiaowen
AU - Jiang, Yixin
N1 - Funding Information:
The authors would like to thank Dr. Mea Wang for her insightful discussions and suggestions when writing this article. This work is partially supported by FRG grant FRG2/09-10/061 from Hong Kong Baptist University, the National Grand Fundamental Research 973 Program (no. 2010CB328105), and the NSFC of China (no. 60970101).
PY - 2010/7
Y1 - 2010/7
N2 - Random linear network coding has been demonstrated to be able to improve the performance of many peer-to-peer applications, such as content distribution, multimedia streaming, distributed storage, and wireless communications. We first survey recent research progress in applying RLNC in P2P content distribution and multimedia streaming, respectively. We then study the pollution attack, a primary type of security threat particularly relevant to RLNC, and present and compare some existing countermeasures. We finally discuss confidentiality and privacy issues in RLNCenabled P2P applications as future research challenges.
AB - Random linear network coding has been demonstrated to be able to improve the performance of many peer-to-peer applications, such as content distribution, multimedia streaming, distributed storage, and wireless communications. We first survey recent research progress in applying RLNC in P2P content distribution and multimedia streaming, respectively. We then study the pollution attack, a primary type of security threat particularly relevant to RLNC, and present and compare some existing countermeasures. We finally discuss confidentiality and privacy issues in RLNCenabled P2P applications as future research challenges.
UR - http://www.scopus.com/inward/record.url?scp=77954844163&partnerID=8YFLogxK
U2 - 10.1109/MNET.2010.5510916
DO - 10.1109/MNET.2010.5510916
M3 - Article
AN - SCOPUS:77954844163
VL - 24
SP - 35
EP - 39
JO - IEEE Network
JF - IEEE Network
SN - 0890-8044
IS - 4
M1 - 5510916
ER -