EAGER: Securing Integrated Circuits Through Realtime Hardware Trojan Detection
EAGER:通过实时硬件木马检测保护集成电路
基本信息
- 批准号:1648878
- 负责人:
- 金额:$ 28.87万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Modifications to integrated circuits (ICs) or the insertion of foreign intellectual property pose a serious threat to U.S. sovereignty, as ICs are found in many consumer electronic devices, including phones, computers, and televisions. More importantly, many commercial and military U.S. assets rely on ICs for computation and management of critical infrastructure such as banking, energy, and defense systems. The primary impact of the proposed work is to improve the security of U.S. electronic assets by assuring that the integrated circuits placed in these critical systems do not include functions or modified functions that compromise the integrity of the ICs running these complex systems.The research will implement a run-time detection methodology based on the noise on the power distribution network to effectively detect, locate, and recover from malicious circuit modifications. A novel application of game theory will be utilized to optimally place voltage sensors on the power distribution network to enhance the detection of hardware Trojans, and therefore, increase the cost on the adversary to develop and implement an attack. In addition, the project aims to develop two techniques to recover from the activation of a hardware Trojan: 1) logic encryption key manipulation, and 2) a segmented power distribution network for locally powering off sections of an IC. Algorithms to automate the insertion of circuits that detect hardware modifications will also be developed, leading to long term and widespread use of the proposed methodologies by the semiconductor industry. Overall, the project strongly complements ongoing research examining hardware Trojan detection and countermeasures. The outcome of the proposed research will result in novel circuit techniques and methodologies to detect and neutralize circuit anomalies due to adversarial modifications, as well as design IP that improves the robustness of an IC against circuit attacks. The educational goal of the project is the development of secure IC design practices for the detection, identification, and localization of hardware modifications. A course related to the proposed research and its applications will be developed and offered to graduate and advanced undergraduate students.
集成电路(ic)的修改或外国知识产权的插入对美国主权构成严重威胁,因为ic存在于许多消费电子设备中,包括电话,电脑和电视。更重要的是,许多美国商业和军事资产依赖于集成电路来计算和管理关键基础设施,如银行、能源和国防系统。拟议工作的主要影响是通过确保放置在这些关键系统中的集成电路不包括损害运行这些复杂系统的集成电路完整性的功能或修改功能来提高美国电子资产的安全性。该研究将实现一种基于配电网络噪声的运行时检测方法,以有效地检测、定位和从恶意电路修改中恢复。一种新颖的博弈论应用将被用于优化配电网络上的电压传感器,以增强对硬件木马的检测,从而增加对手开发和实施攻击的成本。此外,该项目旨在开发两种技术来从硬件木马的激活中恢复:1)逻辑加密密钥操作,以及2)用于局部关闭IC部分的分段配电网络。还将开发用于自动插入检测硬件修改的电路的算法,从而导致半导体行业长期广泛使用所提出的方法。总体而言,该项目有力地补充了正在进行的检查硬件木马检测和对策的研究。提出的研究结果将产生新的电路技术和方法,以检测和消除由于对抗性修改而导致的电路异常,以及设计IP,以提高IC对电路攻击的鲁棒性。该项目的教育目标是开发用于检测、识别和定位硬件修改的安全IC设计实践。将为研究生和高级本科生开设一门与所建议的研究及其应用相关的课程。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Power conversion efficiency-aware mapping of multithreaded applications on heterogeneous architectures: A comprehensive parameter tuning
- DOI:10.1109/aspdac.2018.8297285
- 发表时间:2018-01
- 期刊:
- 影响因子:0
- 作者:H. Sayadi;Divya Pathak;I. Savidis;H. Homayoun
- 通讯作者:H. Sayadi;Divya Pathak;I. Savidis;H. Homayoun
Enhanced Circuit Security Through Hidden State Transitions
通过隐藏状态转换增强电路安全性
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Juretus, Kyle;Savidis, Ioannis
- 通讯作者:Savidis, Ioannis
Physical gate based preamble obfuscation for securing wireless communication
基于物理门的前导码混淆,用于保护无线通信
- DOI:10.1109/iccnc.2017.7876142
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Chacko, James;Juretus, Kyle;Jacovic, Marko;Sahin, Cem;Kandasamy, Nagarajan;Savidis, Ioannis;Dandekar, Kapil
- 通讯作者:Dandekar, Kapil
Protecting analog circuits with parameter biasing obfuscation
- DOI:10.1109/latw.2017.7906739
- 发表时间:2017-03
- 期刊:
- 影响因子:0
- 作者:Vaibhav Venugopal Rao;I. Savidis
- 通讯作者:Vaibhav Venugopal Rao;I. Savidis
Machine Learning on the Thermal Side-Channel: Analysis of Accelerator-Rich Architectures
热侧通道上的机器学习:富含加速器的架构分析
- DOI:10.1109/iccd.2018.00022
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Werner, David;Juretus, Kyle;Savidis, Ioannis;Hempstead, Mark
- 通讯作者:Hempstead, Mark
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Ioannis Savidis其他文献
Edge-weighted Graph Neural Networks for Post-placement Interconnect Capacitance Estimation of Analog Circuits
用于模拟电路布局后互连电容估计的边加权图神经网络
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Zhengfeng Wu;Ioannis Savidis - 通讯作者:
Ioannis Savidis
Hybrid Utilization of Subgraph Isomorphism and Relational Graph Convolutional Networks for Analog Functional Grouping Annotation
混合利用子图同构和关系图卷积网络进行模拟功能分组注释
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Zhengfeng Wu;Isabel Song;Ioannis Savidis - 通讯作者:
Ioannis Savidis
EDA-schema: A Graph Datamodel Schema and Open Dataset for Digital Design Automation
EDA-schema:用于数字设计自动化的图形数据模型架构和开放数据集
- DOI:
10.1145/3649476.3658718 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Pratik Shrestha;Alec Aversa;Saran Phatharodom;Ioannis Savidis - 通讯作者:
Ioannis Savidis
Transfer Learning of Arrival Time Prediction Models from a 65 nm to a 28 nm Process Node
从 65 nm 到 28 nm 工艺节点的到达时间预测模型的迁移学习
- DOI:
10.1109/dcas61159.2024.10539903 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Pratik Shrestha;Ioannis Savidis - 通讯作者:
Ioannis Savidis
DNA: DC Nodal Analysis Attack for Analog Circuits
DNA:模拟电路的直流节点分析攻击
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Vaibhav Venugopal Rao;Kyle Juretus;Ioannis Savidis - 通讯作者:
Ioannis Savidis
Ioannis Savidis的其他文献
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{{ truncateString('Ioannis Savidis', 18)}}的其他基金
CAREER: Parameter Obfuscation: A Novel Methodology for the Protection of Analog Intellectual Property
职业:参数混淆:保护模拟知识产权的新方法
- 批准号:
1751032 - 财政年份:2018
- 资助金额:
$ 28.87万 - 项目类别:
Continuing Grant
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