Risk analysis of information-leakage through interest packets in NDN

Abstract : Information-leakage is one of the most important security issues in the current Internet. In Named-Data Networking (NDN), Interest names introduce novel vulnerabilities that can be exploited. By setting up a malware, Interest names can be used to encode critical information (steganography embedded) and to leak information out of the network by generating anomalous Interest traffic. This security threat based on Interest names does not exist in IP network, and it is essential to solve this issue to secure the NDN architecture. This paper performs risk analysis of information-leakage in NDN. We first describe vulnerabilities with Interest names and, as countermeasures, we propose a namebased filter using search engine information, and another filter using one-class Support Vector Machine (SVM). We collected URLs from the data repository provided by Common Crawl and we evaluate the performances of our per-packet filters. We show that our filters can choke drastically the throughput of information-leakage, which makes it easier to detect anomalous Interest traffic. It is therefore possible to mitigate informationleakage in NDN network and it is a strong incentive for future deployment of this architecture at the Internet scale.
Document type :
Conference papers
Complete list of metadatas

Contributor : Daishi Kondo <>
Submitted on : Wednesday, December 5, 2018 - 7:16:19 PM
Last modification on : Thursday, February 7, 2019 - 5:34:43 PM
Long-term archiving on : Wednesday, March 6, 2019 - 4:09:35 PM


Files produced by the author(s)


  • HAL Id : hal-01946257, version 1


Daishi Kondo, Thomas Silverston, Hideki Tode, Tohru Asami, Olivier Perrin. Risk analysis of information-leakage through interest packets in NDN. INFOCOM WKSHPS 2017 - IEEE International Conference on Computer Communications, May 2017, Atlanta, United States. ⟨hal-01946257⟩



Record views


Files downloads