• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Hardware-Trojan Detection for Integrated Circuit Design Data based on Machine Learning

Research Project

Project/Area Number 19H04080
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 60040:Computer system-related
Research InstitutionWaseda University

Principal Investigator

Togawa Nozomu  早稲田大学, 理工学術院, 教授 (30298161)

Co-Investigator(Kenkyū-buntansha) 木村 晋二  早稲田大学, 理工学術院(情報生産システム研究科・センター), 教授 (20183303)
Project Period (FY) 2019-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥17,290,000 (Direct Cost: ¥13,300,000、Indirect Cost: ¥3,990,000)
Fiscal Year 2021: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2020: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2019: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
Keywordsハードウェアトロイ / 機械学習 / レジスタトランスファレベル / ゲートレベル / 設計データ / ネットリスト / 識別器最適化
Outline of Research at the Start

現在,集積回路設計・製造は低コスト化のため積極的に外注が利用され,外部の悪意ある設計・製造者により悪意ある回路を故意に侵入する「ハードウェアトロイ」が現実的な脅威として指摘されている.特に集積回路設計データに挿入されたハードウェアトロイは,軽微な設計データ改変で重大な事象を引き起こす可能性がある.本研究では,こ集積回路設計データ中のハードウェアトロイの各種特徴量を積極的に学習することにより,既知・未知のハードウェアトロイを検知する技術を確立する.ハードウェアトロイの危険性がないセキュア集積回路チップの実現に寄与する.

Outline of Final Research Achievements

Recently, as Internet of Things (IoT) devices become widespread, the demand for embedded hardware devices has been increasing. In order to produce embedded hardware devices more inexpensively, the manufacturing bases have been internationalized, and several processes in the IC design and manufacturing steps have been outsourced to third-party vendors. Under the circumstances, a hardware Trojan, which is a malicious function circuit inserted into a hardware device, may be inserted into IC products by the malicious third-party vendors, and therefore the risk of hardware Trojans has arisen. In this research, we have developed a machine-learning-based hardware Trojan detection method to detect known and unknown hardware Trojans effectively and efficiently.

Academic Significance and Societal Importance of the Research Achievements

IoT機器の心臓部は集積回路によって構成されるが,現在の集積回路の開発プロセスは設計・製造コストを削減するため,積極的に外注を利用している.一方,集積回路のサプライチェーンは危険にさらされており,悪意ある設計者・製造者によって,悪意ある回路,すなわちハードウェアトロイの挿入が容易に実現され得る.国家安全,医療,宇宙航空などの分野で使用されるIoT機器にハードウェアトロイが含まれれば大きな危機を招くことになる.
本研究成果は,上記の問題に対して一定の答えを与えるものであり,ハードウェアトロイの危険性がないセキュア集積回路チップの実現により安全安心なIoT機器の構築に大きく寄与するものと考える.

Report

(4 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • Research Products

    (20 results)

All 2022 2021 2020 2019

All Journal Article (10 results) (of which Peer Reviewed: 10 results,  Open Access: 1 results) Presentation (10 results) (of which Int'l Joint Research: 2 results)

  • [Journal Article] Hardware-Trojan Detection Based on the Structural Features of Trojan Circuits Using Random Forests2022

    • Author(s)
      Tatsuki Kurihara and Nozomu Togawa
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E105.A Issue: 7 Pages: 1049-1060

    • DOI

      10.1587/transfun.2021EAP1091

    • NAID

      130008139939

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2022-07-01
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] An Anomalous Behavior Detection Method Utilizing Extracted Application-Specific Power Behaviors2021

    • Author(s)
      Kazunari Takasaki, Ryoichi Kida, and Nozomu Togawa
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E104.A Issue: 11 Pages: 1555-1565

    • DOI

      10.1587/transfun.2020KEP0001

    • NAID

      130008109735

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2021-11-01
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Two-Stage Hardware Trojan Detection Method Considering the Trojan Probability of Neighbor Nets2021

    • Author(s)
      Kento Hasegawa, Tomotaka Inoue, and Nozomu Togawa
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E104.A Issue: 11 Pages: 1516-1525

    • DOI

      10.1587/transfun.2020KEP0005

    • NAID

      130008109831

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2021-11-01
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Hardware-Trojan Classification based on the Structure of Trigger Circuits Utilizing Random Forests2021

    • Author(s)
      Kurihara Tatsuki and Togawa Nozomu
    • Journal Title

      2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design (IOLTS)

      Volume: NA

    • DOI

      10.1109/iolts52814.2021.9486700

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] An Anomalous Behavior Detection Method Based on Power Analysis Utilizing Steady State Power Waveform Predicted by LSTM2021

    • Author(s)
      Takasaki Kazunari、Kida Ryoichi、Togawa Nozomu
    • Journal Title

      2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design (IOLTS)

      Volume: NA Pages: 1-7

    • DOI

      10.1109/iolts52814.2021.9486706

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Trojan-Net Classification for Gate-Level Hardware Design Utilizing Boundary Net Structures2020

    • Author(s)
      HASEGAWA Kento、YANAGISAWA Masao、TOGAWA Nozomu
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E103.D Issue: 7 Pages: 1618-1622

    • DOI

      10.1587/transinf.2019ICL0003

    • NAID

      130007867751

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2020-07-01
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Capacitance Measurement Device for Running Hardware Devices and Its Evaluations2020

    • Author(s)
      NISHIZAWA Makoto、HASEGAWA Kento、TOGAWA Nozomu
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E103.A Issue: 9 Pages: 1018-1027

    • DOI

      10.1587/transfun.2019kep0005

    • NAID

      130007893716

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Evaluation on Hardware-Trojan Detection at Gate-Level IP Cores Utilizing Machine Learning Methods2020

    • Author(s)
      Kurihara Tatsuki、Hasegawa Kento、Togawa Nozomu
    • Journal Title

      2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design (IOLTS)

      Volume: NA Pages: 1-4

    • DOI

      10.1109/iolts50870.2020.9159740

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] An Anomalous Behavior Detection Method for IoT Devices by Extracting Application-Specific Power Behaviors2020

    • Author(s)
      Takasaki Kazunari、Hasegawa Kento、Kida Ryoichi、Togawa Nozomu
    • Journal Title

      2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design (IOLTS)

      Volume: NA Pages: 1-4

    • DOI

      10.1109/iolts50870.2020.9159732

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Scalable Stochastic Number Duplicators for Accuracy-flexible Arithmetic Circuit Design2020

    • Author(s)
      Ishikawa Ryota、Tawada Masashi、Yanagisawa Masao、Togawa Nozomu
    • Journal Title

      IPSJ Transactions on System LSI Design Methodology

      Volume: 13 Issue: 0 Pages: 10-20

    • DOI

      10.2197/ipsjtsldm.13.10

    • NAID

      130007803333

    • ISSN
      1882-6687
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] 消費電力波形の形状を考慮したIoTデバイス異常動作検知手法2022

    • Author(s)
      久古幸汰, 高崎和成, 戸川望
    • Organizer
      2022年暗号と情報セキュリティシンポジウム(SCIS2022)
    • Related Report
      2021 Annual Research Report
  • [Presentation] 勾配ブースティング決定木と識別結果伝搬法によるハードウェアトロイ識別2022

    • Author(s)
      根岸良太郎, 栗原樹, 戸川望
    • Organizer
      2022年暗号と情報セキュリティシンポジウム(SCIS2022)
    • Related Report
      2021 Annual Research Report
  • [Presentation] 多出力LSTMによる定常状態電力波形推定を利用した消費電力解析にもとづくデバイスの異常動作検知手法2021

    • Author(s)
      高崎和成, 木田良一, 金子博一, 戸川望
    • Organizer
      コンピュータセキュリティシンポジウム2021 (CSS2021)
    • Related Report
      2021 Annual Research Report
  • [Presentation] LSTMによる定常状態電力波形生成を利用した消費電力解析にもとづくデバイスの異常動作検知手法2020

    • Author(s)
      高崎和成, 木田良一, 戸川望
    • Organizer
      電子情報通信学会暗号と情報セキュリティシンポジウム2021
    • Related Report
      2020 Annual Research Report
  • [Presentation] トリガ回路の性質にもとづく特徴量を利用したランダムフォレストによるハードウェアトロイ識別2020

    • Author(s)
      [17]栗原樹, 戸川望
    • Organizer
      電子情報通信学会技術報告
    • Related Report
      2020 Annual Research Report
  • [Presentation] ストカスティック数を用いた非対称通信路の誤り訂正2020

    • Author(s)
      石川遼太, 多和田雅師, 柳澤政生, 戸川望
    • Organizer
      2020年電子情報通信学会総合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Error correction system using stochastic numbers in symmetric channels and Z channels2019

    • Author(s)
      Ryota Ishikawa, Masashi Tawada, Masao Yanagisawa, and Nozomu Togawa
    • Organizer
      2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ストカスティック計算におけるステップ関数の実装と評価2019

    • Author(s)
      石川遼太, 多和田雅師, 柳澤政生, 戸川望
    • Organizer
      電子情報通信学会技術報告
    • Related Report
      2019 Annual Research Report
  • [Presentation] ストカスティック数を用いた再帰的分割による解像度解釈可変な画像形式2019

    • Author(s)
      石川遼太, 多和田雅師, 柳澤政生, 戸川望
    • Organizer
      電子情報通信学会技術報告
    • Related Report
      2019 Annual Research Report
  • [Presentation] Error correction coding of stochastic numbers using BER measurement2019

    • Author(s)
      Ryota Ishikawa, Masashi Tawada, Masao Yanagisawa, and Nozomu Togawa
    • Organizer
      2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research

URL: 

Published: 2019-04-18   Modified: 2023-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi