An Efficient Short Null Keys Based Scheme for Securing Network Coding Against Pollution Attacks

2015 ◽  
pp. 16-31 ◽  
Author(s):  
Junsheng Wang ◽  
Jin Wang ◽  
Yanqin Zhu ◽  
Chengjin Jia
Keyword(s):  
Network Coding ◽  
Pollution Attacks

Signature scheme for securing two-source network coding against pollution attacks

2012 ◽  
Vol 31 (6) ◽  
pp. 1512-1514
Author(s):  
Shu-fen NIU ◽  
Cai-fen WANG ◽  
Xue-yan LIU
Keyword(s):  
Network Coding ◽  
Signature Scheme ◽  
Pollution Attacks

Secret Error-Correcting Network Coding against Eavesdropping and Pollution Attacks

2012 ◽  
Vol 457-458 ◽  
pp. 1499-1507 ◽  
Author(s):  
Si Guang Chen ◽  
Meng Wu ◽  
Wei Feng Lu
Keyword(s):  
Network Coding ◽  
Necessary Condition ◽  
Information Theoretic ◽  
Transmitted Information ◽  
Information Theoretic Security ◽  
Secret Communication ◽  
Pollution Attacks ◽  
Rank Metric Codes ◽  
Shared Secret ◽  
And Performance

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.

Homomorphic MAC-based scheme against pollution attacks in network coding

2013 ◽  
Vol 18 (5) ◽  
pp. 435-442 ◽  
Author(s):  
Yujie Zhang ◽  
Ying Cai ◽  
Zhuo Li ◽  
Yanfang Fan
Keyword(s):  
Network Coding ◽  
Pollution Attacks ◽  
Homomorphic Mac

scholarly journals Securing Network Coding Architectures Against Pollution Attacks With Band Codes

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

scholarly journals Enjoy the Benefit of Network Coding: Combat Pollution Attacks in 5G Multihop Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Jian Li ◽  
Tongtong Li ◽  
Jian Ren ◽  
Han-Chieh Chao
Keyword(s):  
Network Coding ◽  
Error Detection ◽  
Error Control ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Multihop Networks ◽  
Performance Gain ◽  
Malicious Attacks ◽  
Ldpc Decoding ◽  
Pollution Attacks

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.

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