Security of a computer system has been traditionally related to the security of the software or the information being processed. The underlying hardware used for information processing has been considered trusted. The emergence of hardware Trojan attacks violates this root of trust. These attacks, in the form of malicious modifications of electronic hardware at different stages of its life cycle, pose major security concerns in the electronics industry. An adversary can mount such an attack with an objective to cause operational failure or to leak secret information from inside a chip-e.g., the key in a cryptographic chip, during field operation. Global economic trend that encourages increased reliance on untrusted entities in the hardware design and fabrication process is rapidly enhancing the vulnerability to such attacks. In this paper, we analyze the threat of hardware Trojan attacks; present attack models, types, and scenarios; discuss different forms of protection approaches, both proactive and reactive; and describe emerging attack modes, defenses, and future research pathways.

Hardware Trojan Attacks: Threat Analysis and Countermeasures

Given the increasing complexity of modern electronics and the cost of fabrication, entities from around the globe have become more heavily involved in all phases of the electronics supply chain. In this environment, hardware Trojans (i.e., malicious modifications or inclusions made by untrusted third parties) pose major security concerns, especially for those integrated circuits (ICs) and systems used in critical applications and cyber infrastructure. While hardware Trojans have been explored significantly in academia over the last decade, there remains room for improvement. In this article, we examine the research on hardware Trojans from the last decade and attempt to capture the lessons learned. A comprehensive adversarial model taxonomy is introduced and used to examine the current state of the art. Then the past countermeasures and publication trends are categorized based on the adversarial model and topic. Through this analysis, we identify what has been covered and the important problems that are underinvestigated. We also identify the most critical lessons for those new to the field and suggest a roadmap for future hardware Trojan research.

https://dl.acm.org/doi/pdf/10.1145/2906147

Hardware Trojans: Lessons Learned after One Decade of Research

While the move to smaller transistors has been a boon for performance it has dramatically increased the cost to fabricate chips using those smaller transistors. This forces the vast majority of chip design companies to trust a third party -- often overseas -- to fabricate their design. To guard against shipping chips with errors (intentional or otherwise) chip design companies rely on post-fabrication testing. Unfortunately, this type of testing leaves the door open to malicious modifications since attackers can craft attack triggers requiring a sequence of unlikely events, which will never be encountered by even the most diligent tester. In this paper, we show how a fabrication-time attacker can leverage analog circuits to create a hardware attack that is small (i.e., requires as little as one gate) and stealthy (i.e., requires an unlikely trigger sequence before effecting a chip's functionality). In the open spaces of an already placed and routed design, we construct a circuit that uses capacitors to siphon charge from nearby wires as they transition between digital values. When the capacitors fully charge, they deploy an attack that forces a victim flip-flop to a desired value. We weaponize this attack into a remotely-controllable privilege escalation by attaching the capacitor to a wire controllable and by selecting a victim flip-flop that holds the privilege bit for our processor. We implement this attack in an OR1200 processor and fabricate a chip. Experimental results show that our attacks work, show that our attacks elude activation by a diverse set of benchmarks, and suggest that our attacks evade known defenses.

A2: Analog Malicious Hardware

A survey of hardware Trojan threat and defense

Hardware Trojans have gained increasing interest during the past few years. Undeniably, the detection of such malicious designs needs a deep understanding of how they can practically be built and developed. In this work we present a design methodology dedicated to FPGAs which allows measuring a fraction of the dynamic power consumption. More precisely, we develop internal sensors which are based on FPGA primitives, and transfer the internally-measured side-channel leakages outside. These are distributed and calibrated delay sensors which can indirectly measure voltage fluctuations due to power consumption. By means of a cryptographic core as a case study, we present different settings and parameters for our employed sensors. Using their side-channel measurements, we further exhibit practical key-recovery attacks confirming the applicability of the underlying measurement methodology. This opens a new door to integrate hardware Trojans in a) applications where the FPGA is remotely accessible and b) FPGA-based multi-user platforms where the reconfigurable resources are shared among different users. This type of Trojan is highly difficult to detect since there is no signal connection between targeted (cryptographic) core and the internally-deployed sensors.

An inside job: Remote power analysis attacks on FPGAs

In this paper, we introduce the notion of process reliability based trojans which reduce the reliability of integrated circuits through malicious alterations of the manufacturing process conditions. In contrast to hardware/software trojans which either alter the circuitry or functionality of the IC respectively, the process reliability trojans appear as a result of alterations in the fabrication process steps. The reduction in reliability is caused by acceleration of the wearing out mechanisms for CMOS transistors, such as Negative Bias Temperature Instability (NBTI) or Hot Carrier Injection (HCI). The minor manufacturing process changes can result in creation of infected ICs with a much shorter lifetime that are difficult to detect. Such infected ICs fail prematurely and might lead to catastrophic consequences. The paper describes possible process alterations for both NBTI and HCI mechanisms that might result in creation of process reliability trojans. The paper also explores some possible detection techniques that can help identify the hidden trojans and discusses the various scenarios when process reliability based trojans lead to severe damages.

Process reliability based trojans through NBTI and HCI effects

The invention relates to a system and methodology for facilitating managing product life cycle. A component that determines relevance of components to a product; an analyzing component that determines, infers or predicts obsolescence, level of risk to EOL of a subset of the components. A substitution component that identifies replacement components and suppliers for the subset of components. A cost analysis component that determines material/components cost savings, and redesign cost implementation and/or redesign cost avoidance. A viability component that measures reliability of a component. A transition component that identifies components that require updating or replacement. A profitability component that determines the expected revenue derived from a component over its projected remaining life.

Systems and methods for automatically determining and/or inferring component end of life (EOL)

This paper discusses the possible introduction of hidden reliability defects during CMOS foundry fabrication processes that may lead to accelerated wearout of the devices. These hidden defects or hardware Trojans can be created by deviation from foundry design rules and processing parameters. The Trojans are produced by exploiting time-based wearing mechanisms (HCI, NBTI, TDDB and EM) and/or condition-based triggers (ESD, Latchup and Softerror). This class of latent damage is difficult to test due to its gradual degradation nature. The paper describes life-time expectancy results for various Trojan induced scenarios. Semiconductor properties, processing and design parameters critical for device reliability and Trojan creation are discussed.

Exploiting Semiconductor Properties for Hardware Trojans

As Embedded Systems are being network enabled, allowing for remote updates and data sharing, software corruption has become a major concern Security protection has mostly been overlooked Software corruption can simplistically be considered as unauthorized instructions that are executed within the system This can occur through behaviorally modified instruction code introduced via new software installation, updates, or application input data (such as buffer overflows) We introduce a vault architecture that prevents the insertion of software corruptions for embedded systems that allow remote access Simulation results for the vault architecture are provided

Embedded system protection from software corruption

This paper discusses how hot carrier injection (HCI) can be exploited to create a trojan that will cause hardware failures. The trojan is produced not via additional logic circuitry but by controlled scenarios that maximize and accelerate the HCI effect in transistors. These scenarios range from manipulating the manufacturing process to varying the internal voltage distribution. This new type of trojan is difficult to test due to its gradual hardware degradation mechanism. This paper describes the HCI effect, detection techniques and discusses the possibility for maliciously induced HCI trojans.

Hardware Trojan by Hot Carrier Injection

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

W. Clay

Author Tools

Chat about Author