A novel approach for anti-pollution attacks in network coding

2021 ◽  
pp. 1-16
Author(s):  
Zuoting Ning ◽  
Weiqi Shi ◽  
Lijun Xiao ◽  
Wei Liang ◽  
Tien-Hsiung Weng
2012 ◽  
Vol 31 (6) ◽  
pp. 1512-1514
Author(s):  
Shu-fen NIU ◽  
Cai-fen WANG ◽  
Xue-yan LIU

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

2019 ◽  
Vol 14 (3) ◽  
pp. 730-742 ◽  
Author(s):  
Attilio Fiandrotti ◽  
Rossano Gaeta ◽  
Marco Grangetto

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Jian Li ◽  
Tongtong Li ◽  
Jian Ren ◽  
Han-Chieh Chao

In the upcoming 5G era, many new types of networks will greatly expand the connectivity of the world such as vehicular ad hoc networks (VANETs), Internet of Things (IoT), and device-to-device communications (D2D). Network coding is a promising technology that can significantly improve the throughput and robustness of these emerging 5G multihop networks. However, network coding is generally very fragile to malicious attacks such as message content corruption and node compromise attacks. To take advantage of network coding in performance gain while refraining malicious network attacks is an interesting and challenging research issue. In this paper, we propose a new error-detection and error-correction (EDEC) scheme that can jointly detect and remove the malicious attacks based on the underlying error-control scheme for general multihop networks that can model the 5G multihop networks. The proposed scheme can increase the throughput for network with pollution attacks compared to existing error-detection based schemes. Then we propose a low-density parity check (LDPC) decoding based EDEC (LEDEC) scheme. Our theoretical analysis demonstrates that the LEDEC scheme can further increase the throughput for heavily polluted network environments. We also provide extensive performance evaluation and simulation results to validate the proposed schemes. This research ensures the expected performance gain for the application of network coding in the 5G network under malicious pollution attacks.


2010 ◽  
Vol 12 (1) ◽  
pp. 86-94 ◽  
Author(s):  
Amir Hesam Salavati ◽  
Babak Hossein Khalaj ◽  
Pedro M. Crespo ◽  
Mohammad Reza Aref

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