A Deep Detection Scheme against Pollution Attacks in Wireless Inter-flow Network Coding

Author(s):  
Tao Shang ◽  
Fuhua Huang ◽  
Tianli Peng ◽  
Jianwei Liu
2012 ◽  
Vol 31 (6) ◽  
pp. 1512-1514
Author(s):  
Shu-fen NIU ◽  
Cai-fen WANG ◽  
Xue-yan LIU

2018 ◽  
Vol 145 ◽  
pp. 1-12 ◽  
Author(s):  
Jonas Hansen ◽  
Jeppe Krigslund ◽  
Daniel E. Lucani ◽  
Peyman Pahlevani ◽  
Frank H.P. Fitzek

2012 ◽  
Vol 457-458 ◽  
pp. 1499-1507 ◽  
Author(s):  
Si Guang Chen ◽  
Meng Wu ◽  
Wei Feng Lu

In this work we consider the problem of designing a secret error-correcting network coding scheme against an adversary that can re-select the tapping links in different time slot and inject z erroneous packets into network. We first derive a necessary condition for keeping the transmitted information secret from the adversary, while the network is only subject to the eavesdropping attack. We then design an error-correcting scheme by combining the rank-metric codes with shared secret model, which can decode the transmitted information correctly provided a sufficiently large q. With that, a secret error-correcting network coding is proposed by combining this error-correcting scheme with secret communication. We show that under the requirement of communication can achieve a rate of packets. Moreover, it ensures that the communicated information is reliable and information-theoretic security from the adversary. In particular, the requirement of packet length is not as large as the required in [12]. Finally, the security and performance analyses illustrate the characteristics of our scheme.


2013 ◽  
Vol 18 (5) ◽  
pp. 435-442 ◽  
Author(s):  
Yujie Zhang ◽  
Ying Cai ◽  
Zhuo Li ◽  
Yanfang Fan

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