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CSEVP: A Collaborative, Secure, and Efficient Content Validation Protection Framework for Information Centric Networking | IEEE Journals & Magazine | IEEE Xplore

CSEVP: A Collaborative, Secure, and Efficient Content Validation Protection Framework for Information Centric Networking


Abstract:

As a new architecture of Internet infrastructure, Information-Centric Networking (ICN) is mainly designed to effectively handle the rapidly increasing user demand for con...Show More

Abstract:

As a new architecture of Internet infrastructure, Information-Centric Networking (ICN) is mainly designed to effectively handle the rapidly increasing user demand for content delivery through in-network caching. While facilitating the dissemination of content to users and making better use of the network resources, ICN is also vulnerable in that attackers can inject poisoned content into the network and isolate users from valid content sources. The introduction of signature verification in each router can effectively prevent this attack, but it also introduces great computation overhead. Existing schemes in ICN reduce verification overhead from a single routing perspective but do not consider integrating resources within ICN for collaborative content authentication and cyber self-defense. In this paper, we propose a collaborative, secure, and efficient content validation protection framework, named CSEVP, to implement a multi-router collaborative defense mechanism for ICN. On the one hand, we conduct content verification by probabilistically choosing one router involved in the transmission path to offload the computation overhead of content verification from a single router to multiple ones. On the other hand, we adopt bloom filters for routers to record and share verification results to further facilitate a more efficient content validity verification. The security and efficiency analysis shows that our proposed CSEVP can achieve efficient content validity verification among multiple routers with acceptable low communication and storage overhead.
Published in: IEEE Transactions on Network and Service Management ( Volume: 19, Issue: 2, June 2022)
Page(s): 1761 - 1775
Date of Publication: 20 December 2021

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