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Article type: Research Article
Authors: Singh, Vishwa Pratap* | Ujjwal, R.L.
Affiliations: University School of Information, Communication and Technology, Guru Gobind Singh Inderprastha University, Delhi, India
Correspondence: [*] Corresponding author: Vishwa Pratap Singh, University School of Information, Communication and Technology, Guru Gobind Singh Inderprastha University, Delhi, India. E-mail: [email protected].
Abstract: Named Data networking is an instance of information centric networking, aims to improve the performance of the Internet by using in-network caching at storage-enabled routers and provide name based content access. However, name based content access and in-network caching make Name Data network vulnerable to new security attacks like cache pollutions, cache poisoning, false locality, cache snooping and interest flooding, etc. In this paper, we have evaluated NDN security principles, the impact of threats, ratified various security enablers, and built-in mitigation actions to combat security attacks. We have systematically applied SecRam in NDN for statistical security risk assessment, identification of run time threats, and assessment of available methods to mitigate these threats, as SecRam considers operational focus areas and proved useful for identification and severity assessment of run time threats. We have modified SecRam and used it in an entirely different domain, i.e., to a computer network, as SESAR proposed SecRam specifically for ATM systems that cannot be directly applied to another context. According to the best of our knowledge, it is the first attempt for a complete risk assessment of NDN. We have concluded this paper by defining a set of open security challenges that should be considered by future researchers.
Keywords: Named data networking, future internet architecture, threat identification, attack modeling, risk assessment, SecRam
DOI: 10.3233/KES-210051
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 25, no. 1, pp. 33-47, 2021
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