Risk analysis of information-leakage through interest packets in NDN

Daishi Kondo, Thomas Silverston, Hideki Tode, Tohru Asami, Olivier Perrin

研究成果

2 被引用数 (Scopus)

抄録

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 name-based 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 information-leakage in NDN network and it is a strong incentive for future deployment of this architecture at the Internet scale.

本文言語English
ホスト出版物のタイトル2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ360-365
ページ数6
ISBN(電子版)9781538627846
DOI
出版ステータスPublished - 2017 11 20
外部発表はい
イベント2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017 - Atlanta, United States
継続期間: 2017 5 12017 5 4

出版物シリーズ

名前2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017

Other

Other2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
国/地域United States
CityAtlanta
Period17/5/117/5/4

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ
  • 制御と最適化
  • 人工知能
  • コンピュータ ネットワークおよび通信

フィンガープリント

「Risk analysis of information-leakage through interest packets in NDN」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル