Detection and Defense Schemes for Cache Pollution Attack in Content-Centric Network

Cao, Yang; Wu, Disheng; Hu, Mingrui; Chen, Shu

doi:10.1007/978-981-19-9697-9_49

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Artificial Intelligence and Machine Learning (AI/ML) can be applied to detect anomalies in network traffic and identify suspicious content behavior in distributed ICN. The authors of [64] proposed an attack detection and mitigation mechanism based on user and network behaviors using a trained support vector machine. This scheme can efficiently detect false-locality attacks on content and probabilistically discard them to prevent cache pollution.…”

Section: Availability and Accessibilitymentioning

confidence: 99%

A Survey of Information-Centric Networking: The Quest for Innovation

ASAEDA,

MATSUZONO,

HAYAMIZU

et al. 2024

IEICE Trans. Commun.

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Information-Centric Networking (ICN) is an innovative technology that provides low-loss, low-latency, high-throughput, and highreliability communications for diversified and advanced services and applications. In this article, we present a technical survey of ICN functionalities such as in-network caching, routing, transport, and security mechanisms, as well as recent research findings. We focus on CCNx, which is a prominent ICN protocol whose message types are defined by the Internet Research Task Force. To facilitate the development of functional code and encourage application deployment, we introduce an open-source software platform called Cefore that facilitates CCNx-based communications. Cefore consists of networking components such as packet forwarding and in-network caching daemons, and it provides APIs and a Python wrapper program that enables users to easily develop CCNx applications for on Cefore. We introduce a Mininet-based Cefore emulator and lightweight Docker containers for running CCNx experiments on Cefore. In addition to exploring ICN features and implementations, we also consider promising research directions for further innovation.

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Section: Availability and Accessibilitymentioning

confidence: 99%

A Survey of Information-Centric Networking: The Quest for Innovation

ASAEDA,

MATSUZONO,

HAYAMIZU

et al. 2024

IEICE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…Yang et al (40) recently proposed a novel CPA mitigation mechanism based on Support Vector Machine (SVM). This approach utilizes various parameters to detect the occurrence of CPA attacks, including the number of interests received per second, the number of content requesters, the distribution of requesters, the core network traffic, and the Cache Hit Ratio of legitimate users.…”

Section: Related Workmentioning

confidence: 99%