• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Evaluating and Mitigating Malicious Data Aggregates in Named Data Networking


Abstract

Named Data Networking (NDN) has emerged and become one of the most promising architectures for future Internet. However, like traditional IP-based networking paradigm, NDN may not evade some typical network threats such as malicious data aggregates (MDA), which may lead to bandwidth exhaustion, traffic congestion and router overload. This paper firstly analyzes the damage effect of MDA using realistic simulations in large-scale network topology, showing that it is not just theoretical, and then designs a fine-grained MDA mitigation mechanism (MDAM) based on the cooperation between routers via alert messages. Simulations results show that MDAM can significantly reduce the Pending Interest Table overload in involved routers, and bring in normal data-returning rate and data-retrieval delay.


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Cite this article

[IEEE Style]
Kai Wang, Wei Bao, Yingjie Wang and Xiangrong Tong, "Evaluating and Mitigating Malicious Data Aggregates in Named Data Networking," KSII Transactions on Internet and Information Systems, vol. 11, no. 9, pp. 4641-4657, 2017. DOI: 10.3837/tiis.2017.09.025

[ACM Style]
Wang, K., Bao, W., Wang, Y., and Tong, X. 2017. Evaluating and Mitigating Malicious Data Aggregates in Named Data Networking. KSII Transactions on Internet and Information Systems, 11, 9, (2017), 4641-4657. DOI: 10.3837/tiis.2017.09.025