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A study on ambient DNS sensor(Fostering Joint International Research)

Research Project

Project/Area Number 15KK0019
Research Category

Fund for the Promotion of Joint International Research (Fostering Joint International Research)

Allocation TypeMulti-year Fund
Research Field Information network
Research InstitutionNational Institute of Informatics

Principal Investigator

Fukuda Kensuke  国立情報学研究所, アーキテクチャ科学研究系, 准教授 (90435503)

Research Collaborator Heidemann John  南カリフォルニア大学, 情報科学研究所, 教授
Kato Akira  慶應義塾大学, 大学院・メディアデザイン研究科, 教授
Mazel Johan  国立情報システムセキュリティ庁, 研究部門, 研究員
Project Period (FY) 2016 – 2017
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥9,360,000 (Direct Cost: ¥7,200,000、Indirect Cost: ¥2,160,000)
Keywordsインターネット / DNS / セキュリティ / スキャン
Outline of Final Research Achievements

We evaluate DNS backscatter for detecting internet-wide network scannings. We first construct a darknet taxonomy that is used for labeled data of network scans, and evaluate the effectiveness of the taxonomy with over 10 years darknet traffic data. We also evaluate the dependency of the labeled data source on the classification accuracy, and demonstrate that two class classification with SMOTE achieves acceptable performance on the scan detection.

Report

(3 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • Research Products

    (3 results)

All 2018 2017

All Int'l Joint Research (1 results) Journal Article (2 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 2 results,  Open Access: 1 results)

  • [Int'l Joint Research] 南カリフォルニア大学(米国)2017

    • Year and Date
      2017-04-24
    • Related Report
      2017 Annual Research Report
  • [Journal Article] An Evaluation of Darknet Traffic Taxonomy2018

    • Author(s)
      Jun Liu, Kensuke Fukuda
    • Journal Title

      Journal of Information Processing

      Volume: 26 Issue: 0 Pages: 148-157

    • DOI

      10.2197/ipsjjip.26.148

    • NAID

      130006351625

    • ISSN
      1882-6652
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Detecting Malicious Activity with DNS Backscatter Over Time2017

    • Author(s)
      Kensuke Fukuda, John Heidemann, Abudul Qadrer
    • Journal Title

      IEEE/ACM Transactions on Networking

      Volume: 25 Pages: 3203-3218

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Int'l Joint Research

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Published: 2016-10-04   Modified: 2022-06-07  

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