Blockchain Papers

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235 papersLast indexed Aug 31, 2026
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Jan 1, 2021·Lecture notes in computer science
1 cites
Compilation of Function Representations for Secure Computing Paradigms

Karim Baghery, Cyprien Delpech de Saint Guilhem, Emmanuela Orsini, Nigel P. Smart · 5 authors

This paper introduces M-Circuits, a program representation which generalizes arithmetic and binary circuits. This new representation is motivated by the way modern multi-party computation (MPC) systems based on linear secret sharing schemes actually operate. We then show how this representation also allows one to construct zero knowledge proof (ZKP) systems based on the MPC-in-the-head paradigm. The use of the M-Circuit program abstraction then allows for a number of program-specific optimizations to be applied generically. It also allows to separate complexity and security optimizations for program compilation from those for application protocols (MPC or ZKP).

Open access
2 source records
Cryptography and Data Security
Security and Verification in Computing
Cryptographic Implementations and Security
Original source
Jan 1, 2021·Procedia Computer Science
72 cites
Review and analysis of blockchain projects in supply chain management

Fabian Dietrich, Yiwen Ge, Ali Emre Turgut, Louis Louw · 5 authors

Supply chains have become increasingly complex, making it difficult to ensure transparency throughout the whole supply chain. In this context, first approaches came up, adopting the immutable, decentralised, and secure characteristics of the blockchain technology to increase the transparency, security, authenticity, and auditability of assets in supply chains. This paper investigates recent publications combining the blockchain technology and supply chain management and classifies them regarding the complexity to be mapped on the blockchain. As a result, the increase of supply chain transparency is identified as the main objective of recent blockchain projects in supply chain management. Thereby, most of the recent publications deal with simple supply chains and products. The few approaches dealing with complex parts only map sub-areas of supply chains. Currently no example exists which has the aim of increasing the transparency of complex manufacturing supply chains, and which enables the mapping of complex assembly processes, an efficient auditability of all assets, and an implementation of dynamic adjustments.

Open access
Blockchain Technology Applications and Security
Physical Unclonable Functions (PUFs) and Hardware Security
Recycling and Waste Management Techniques
Original source
Dec 23, 2020·Sensors
53 cites
Proof-of-PUF Enabled Blockchain: Concurrent Data and Device Security for Internet-of-Energy

Rameez Asif, Kinan Ghanem, James Irvine

A detailed review on the technological aspects of Blockchain and Physical Unclonable Functions (PUFs) is presented in this article. It stipulates an emerging concept of Blockchain that integrates hardware security primitives via PUFs to solve bandwidth, integration, scalability, latency, and energy requirements for the Internet-of-Energy (IoE) systems. This hybrid approach, hereinafter termed as PUFChain, provides device and data provenance which records data origins, history of data generation and processing, and clone-proof device identification and authentication, thus possible to track the sources and reasons of any cyber attack. In addition to this, we review the key areas of design, development, and implementation, which will give us the insight on seamless integration with legacy IoE systems, reliability, cyber resilience, and future research challenges.

Open access
Physical Unclonable Functions (PUFs) and Hardware Security
Advanced Memory and Neural Computing
Neuroscience and Neural Engineering
Original source
Dec 18, 2020·Nature
16 cites
Experimental relativistic zero-knowledge proofs

Pouriya Alikhani, Nicolas Brunner, Claude Crépeau, Sébastien Designolle · 8 authors

Protecting secrets is a key challenge in our contemporary information-based era. In common situations, however, revealing secrets appears unavoidable, for instance, when identifying oneself in a bank to retrieve money. In turn, this may have highly undesirable consequences in the unlikely, yet not unrealistic, case where the bank's security gets compromised. This naturally raises the question of whether disclosing secrets is fundamentally necessary for identifying oneself, or more generally for proving a statement to be correct. Developments in computer science provide an elegant solution via the concept of zero-knowledge proofs: a prover can convince a verifier of the validity of a certain statement without facilitating the elaboration of a proof at all. In this work, we report the experimental realisation of such a zero-knowledge protocol involving two separated verifier-prover pairs. Security is enforced via the physical principle of special relativity, and no computational assumption (such as the existence of one-way functions) is required. Our implementation exclusively relies on off-the-shelf equipment and works at both short (60 m) and long distances ($\geqslant$400 m) in about one second. This demonstrates the practical potential of multi-prover zero-knowledge protocols, promising for identification tasks and blockchain applications such as cryptocurrencies or smart contracts.

Open access
3 source records
Cryptography and Data Security
Physical Unclonable Functions (PUFs) and Hardware Security
Cryptographic Implementations and Security
Original source
Dec 6, 2020·International Journal of Future Innovative Science and Technology
0 cites
AI-Enabled Post-Quantum Solutions for Anti-Counterfeiting and Digital Trust in Global Supply Chains

Ranveer Potel

Counterfeiting and fraudulent product diversion pose escalating threats to brand integrity, consumer safety, and global supply-chain stability. Traditional security measures—including holograms, barcodes, and conventional QR codes—are insufficient to guarantee authenticity or prevent digital tampering in adversarial environments increasingly augmented by quantum computing capabilities. This paper proposes a novel AI-enabled, post-quantum cryptography (PQC) framework for anti-counterfeiting and product authentication, integrating clone-proof digital identifiers, real-time traceability via distributed ledger technology, and rich consumer engagement channels. The architecture ensures end-to-end supply-chain transparency, protects digital assets against both classical and quantum adversaries, and enables secure post-purchase interactions at scale. Experimental deployment across food-and-beverage and healthcare supplement sectors demonstrates a 38-percentage-point improvement in counterfeit detection rate, a 37-point increase in supply-chain visibility, and a 97% reduction in anomaly-detection latency, establishing the framework as a robust and scalable model for securing physical and digital product lifecycles.

Open access
2 source records
Physical Unclonable Functions (PUFs) and Hardware Security
Food Supply Chain Traceability
Blockchain Technology Applications and Security
Original source
Nov 16, 2020·Zurich Open Repository and Archive (University of Zurich)
22 cites
KYoT: Self-sovereign IoT Identification with a Physically Unclonable Function

Sina Rafati Niya, Benjamin Jeffrey, Burkhard Stiller

The integration of Internet-of-Things (IoT) and Blockchains (BC) for trusted and decentralized approaches enabled modern use cases, such as supply chain tracing, smart cities, and IoT data marketplaces. For these it is essential to identify reliably IoT devices, since the producer-consumer trust is not guaranteed by a Trusted Third Party (TTP). Therefore, this work proposes a Know Your IoT device platform (KYoT), which enables the self-sovereign identification of IoT devices on the Ethereum BC. KYoT permits manufacturers and device owners to register and verify IoT devices in a self-sovereign fashion, while data storage security is ensured. KYoT deploys an SRAM-based (Static Random Access Memory) Physically Unclonable Function (PUF), which takes advantage of the manufacturing variability of devices' SRAM chips to derive a unique identifying key for each IoT device. The self-sovereign identification mechanism introduced is based on the ERC 734 and ERC 735 Ethereum identity standards.

Open access
2 source records
Physical Unclonable Functions (PUFs) and Hardware Security
Neuroscience and Neural Engineering
Advanced Memory and Neural Computing
Original source
Sep 30, 2020·IEEE Transactions on Engineering Management
29 cites
FUSION—Fog Computing and Blockchain for Trusted Industrial Internet of Things

Andrea Ceccarelli, Marcello Cinque, Christian Esposito, Luca Foschini · 6 authors

The industrial Internet of Things (IIoT) is currently foreseen as a foundation to implement the Industry 4.0 vision. However, device heterogeneity and the need of integration and configuration exposes the industrial infrastructure to potential threats, such as black-hole, man-in-the-middle, and malicious configuration attacks. In this article, we investigate how to manage distributed trust information and to enable trusted configuration actions in the IIoT, by opportunistically intermingling blockchain with the software defined networking and container orchestration technologies. In particular, we focus on how the joint and coordinated adoption of such technologies can make technicians’ interventions on industrial equipment both easier and more trusted. To this purpose, we present the design of a software architecture to simplify the management, configuration, and assessment of IIoT systems, and we discuss our experiences with the application of the proposed architecture in a railways use case.

Open access
Physical Unclonable Functions (PUFs) and Hardware Security
Blockchain Technology Applications and Security
Software-Defined Networks and 5G
Original source
Jun 25, 2020·International Journal of Information Security
41 cites
Anti-BlUFf: towards counterfeit mitigation in IC supply chains using blockchain and PUF

Leonardo Aniello, Basel Halak, Peter Chai, Riddhi Dhall · 6 authors

Abstract The complexity of today’s integrated circuit (IC) supply chain, organised in several tiers and including many companies located in different countries, makes it challenging to assess the history and integrity of procured ICs. This enables malicious practices like counterfeiting and insertion of back doors, which are extremely dangerous, especially in supply chains of ICs for industrial control systems used in critical infrastructures, where a country and human lives can be put at risk. This paper aims at mitigating these issues by introducing Anti-BlUFf (Anti-counterfeiting Blockchain- and PUF-based infrastructure), an approach where ICs are uniquely identified and tracked along the chain, across multiple sites, to detect tampering. Our solution is based on consortium blockchain and smart contract technologies; hence, it is decentralised, highly available and provides strong guarantees on the integrity of stored data and executed business logic. The unique identification of ICs along the chain is implemented by using physically unclonable functions (PUFs) as tamper-resistant IDs. We first define the threat model of an adversary interested in tampering with ICs along the supply chain and then provide the design of the tracking system that implements the proposed anti-counterfeiting approach. We present a security analysis of the tracking system against the designated threat model and a prototype evaluation to show its technical feasibility and assess its effectiveness in counterfeit mitigation. Finally, we discuss several key practical aspects concerning our solution ad its integration with real IC supply chains.

Open access
Physical Unclonable Functions (PUFs) and Hardware Security
Blockchain Technology Applications and Security
Recycling and Waste Management Techniques
Original source
Jun 18, 2020·Cryptography
32 cites
Securing Additive Manufacturing with Blockchains and Distributed Physically Unclonable Functions

Bertrand Cambou, Michael Gowanlock, Julie Heynssens, Saloni Jain · 10 authors

Blockchain technology is a game-changing, enhancing security for the supply chain of smart additive manufacturing. Blockchain enables the tracking and recording of the history of each transaction in a ledger stored in the cloud that cannot be altered, and when blockchain is combined with digital signatures, it verifies the identity of the participants with its non-repudiation capabilities. One of the weaknesses of blockchain is the difficulty of preventing malicious participants from gaining access to public–private key pairs. Groups of opponents often interact freely with the network, and this is a security concern when cloud-based methods manage the key pairs. Therefore, we are proposing end-to-end security schemes by both inserting tamper-resistant devices in the hardware of the peripheral devices and using ternary cryptography. The tamper-resistant devices, which are designed with nanomaterials, act as Physical Unclonable Functions to generate secret cryptographic keys. One-time use public–private key pairs are generated for each transaction. In addition, the cryptographic scheme incorporates a third logic state to mitigate man-in-the-middle attacks. The generation of these public–private key pairs is compatible with post quantum cryptography. The third scheme we are proposing is the use of noise injection techniques used with high-performance computing to increase the security of the system. We present prototypes to demonstrate the feasibility of these schemes and to quantify the relevant parameters. We conclude by presenting the value of blockchains to secure the logistics of additive manufacturing operations.

Open access
Physical Unclonable Functions (PUFs) and Hardware Security
Advanced Memory and Neural Computing
Neuroscience and Neural Engineering
Original source
Jun 9, 2020·Symmetry
14 cites
ECCPoW: Error-Correction Code based Proof-of-Work for ASIC Resistance

Hyunjun Jung, Heung-No Lee

Bitcoin is the first cryptocurrency to participate in a network and receive compensation for online remittance and mining without any intervention from a third party, such as financial institutions. Bitcoin mining is done through proof of work (PoW). Given its characteristics, the higher hash rate results in a higher probability of mining, leading to the emergence of a mining pool, called a mining organization. Unlike central processing units or graphics processing units, high-cost application-specific integrated circuit miners have emerged with performance efficiency. The problem is that the obtained hash rate exposes Bitcoin’s mining monopoly and causes the risk of a double-payment attack. To solve this problem, we propose the error-correction code PoW (ECCPoW), combining the low-density parity-check decoder and hash function. The ECCPoW contributes to the phenomenon of symmetry in the proof of work (PoW) blockchain. This paper proposes the implementation of ECCPoW, replacing the PoW in Bitcoin. Finally, we compare the mining centralization, security, and scalability of ECCPoW and Bitcoin.

Open access
Blockchain Technology Applications and Security
Physical Unclonable Functions (PUFs) and Hardware Security
Cryptography and Data Security
Original source
May 26, 2020·Applied Sciences
14 cites
Process Automation and Blockchain in Intelligence and Investigation Units: An Approach

Gleidson Sobreira Leite, Adriano Bessa Albuquerque, Plácido Rogério Pinheiro

In the context of combating crime, government institutions in several countries have instituted units specialized in investigation and intelligence activities to act in different areas and expertise. However, due to the considerable complexity and specificity of these activities, as well as a significant concern with security and other related aspects, there are challenges regarding the location and adoption of approaches aimed at applying process automation in the context of these units. Motivated by this scenario, this work presents an approach that adopts concepts of process automation in order to assist researchers and professionals interested in studies and practices aimed at simplification and/or automation of processes in the context of intelligence and investigation units. Exploring the main characteristics of blockchain technology, this paper also presents an overview of different application trends of blockchain technology and proposes the use of this technology as a support mechanism in the management, storage, and sharing of generated digital assets. On the other hand, to analyze the feasibility of applying the approach, a survey was carried out with specialists from specialized units and a real case scenario experience of use was performed. Results show evidence of the feasibility of use and suitability of the approach for the given context, and that it helps interested parties regarding the application of process automation in the scenario of intelligence and investigation units.

Open access
Blockchain Technology Applications and Security
Advanced Malware Detection Techniques
Physical Unclonable Functions (PUFs) and Hardware Security
Original source
May 4, 2020·Sensors
22 cites
DLT Based Authentication Framework for Industrial IoT Devices

Cristian Lupaşcu, Alexandru Lupascu, Ion Bica

The latest technological progress in the industrial sector has led to a paradigm shift in manufacturing efficiency and operational cost reduction. More often than not, this cost reduction comes at the price of dismissing information security, especially when multiple stakeholders are involved and the complexity increases. As a further matter, most of the legacy systems and smart factoring processes lack a security by design approach, making them highly vulnerable to cyber-attacks. Taking into consideration the aforementioned issues, we propose an architectural framework for Industrial Internet of Things (IIoT) that provides authentication and guaranteed integrity. Our proposal properly addresses the security by design principle while combining some of the emerging technologies like Secure Multi-Party Computation (SMPC) for grounded policy rules and Distributed Ledger Technology (DLT) for an immutable and transparent registry.

Open access
Blockchain Technology Applications and Security
Cryptography and Data Security
Physical Unclonable Functions (PUFs) and Hardware Security
Original source
Apr 1, 2020·arXiv (Cornell University)
17 cites
Parasite Chain Detection in the IOTA Protocol

Andreas Penzkofer, Bartosz Kuśmierz, Angelo Capossele, William H. Sanders · 5 authors

In recent years several distributed ledger technologies based on directed acyclic graphs (DAGs) have appeared on the market. Similar to blockchain technologies, DAG-based systems aim to build an immutable ledger and are faced with security concerns regarding the irreversibility of the ledger state. However, due to their more complex nature and recent popularity, the study of adversarial actions has received little attention so far. In this paper we are concerned with a particular type of attack on the IOTA cryptocurrency, more specifically a Parasite Chain attack that attempts to revert the history stored in the DAG structure, also called the Tangle.
\nIn order to improve the security of the Tangle, we present a detection mechanism for this type of attack. In this mechanism, we embrace the complexity of the DAG structure by sampling certain aspects of it, more particularly the distribution of the number of approvers. We initially describe models that predict the distribution that should be expected for a Tangle without any malicious actors. We then introduce metrics that compare this reference distribution with the measured distribution. Upon detection, measures can then be taken to render the attack unsuccessful. We show that due to a form of the Parasite Chain that is different from the main Tangle it is possible to detect certain types of malicious chains. We also show that although the attacker may change the structure of the Parasite Chain to avoid detection, this is done so at a significant cost since the attack is rendered less efficient.

Open access
3 source records
cs.DC
Blockchain Technology Applications and Security
Advanced Malware Detection Techniques
Original source
Jan 1, 2020·Procedia Manufacturing
4 cites
Secure Cyber-Physical Object Identification in Industrial IoT-Systems

Kai Hendrik Wöhnert, Sven-Jannik Wöhnert, Tobias Thiel, Rüdiger Weißbach · 5 authors

Production systems equipped with industrial internet-of-things devices are on the rise allowing smart manufacturing within the trend of industry 4.0 by implementing decentralized decision making. The interconnected devices allow for high transparency in systems by tracking environmental data and actions performed by the actors of the systems. However, they are an easy target for attackers to tamper the authenticity, accountability, and integrity of systems. Therefore, trusted data within systems is required. The trust bases on well-behavior over a period of time of a dedicated entity. Therefore, entities have to be identified to track their behavior. Here, a system of verifiable distributed identities is presented and verified by a simulation. Using a newly introduced zero-knowledge-proof with only two packages exchanged a secure replacement of parts of a product such as a production machine can be achieved without relying on a central authority during the product’s utilization phase.

Open access
Physical Unclonable Functions (PUFs) and Hardware Security
Digital Transformation in Industry
Blockchain Technology Applications and Security
Original source
Jan 1, 2020·Procedia Manufacturing
27 cites
A decentralized application for the traceability process in the pharma industry

Ferdınando Chıacchıo, Lucio Compagno, Diego D’Urso, Luca Velardita · 5 authors

With the growth of a global market, new regulations aiming at preventing the fraud of counterfeiting drugs have been released all over the world. In the pharma industry, an innovative technology named serialization is becoming more and more popular as it allows to implement a packaging process based on a hierarchical aggregation. This guarantees that each box entering in the distribution network is marked with a unique identifier for an easy traceability by a central regulatory in charge to follow the life cycle of the product until given to the final patient. In this scenario, the blockchain might offer a breakthrough proposing a decentralized and immutable traceability mechanism able to increase the security of the data and to reduce the success of a fraud attempt. To demonstrate the effectiveness of this technology, in this paper, a DAPP based on the Ethereum blockchain has been coded and tested as prototype in a pharma industry.

Open access
Blockchain Technology Applications and Security
Innovative Microfluidic and Catalytic Techniques Innovation
Physical Unclonable Functions (PUFs) and Hardware Security
Original source
Jan 1, 2020·Lecture notes in computer science
21 cites
Security Analysis on Tangle-based Blockchain through Simulation

Bozhi Wang, Qin Wang, Shiping Chen, Yang Xiang

The Tangle-based structure becomes one of the most promising solutions when designing DAG-based blockchain systems. The approach improves the scalability by directly confirming multiple transactions in parallel instead of single blocks in linear. However, the performance gain may bring potential security risks. In this paper, we construct three types of attacks with comprehensive evaluations, namely parasite attack (PS), double spending attack (DS), and hybrid attack (HB). To achieve that, we deconstruct the Tangle-based projects (e.g. IOTA) and abstract the main components to rebuild a simple but flexible network for the simulation. Then, we informally define three smallest actions to build up the attack strategies layer by layer. Based on that, we provide analyses to evaluate different types of attacks. To the best of our knowledge, this is the first study to provide a comprehensive security analysis of Tangle-based blockchains.

Open access
2 source records
cs.CR
Blockchain Technology Applications and Security
Physical Unclonable Functions (PUFs) and Hardware Security
Original source
Jan 1, 2020·IEEE Access
58 cites
A Blockchain-Based Traceable IP Copyright Protection Algorithm

Lijun Xiao, Weihong Huang, Yong Xie, Weidong Xiao · 5 authors

Current Intellectual Property (IP) copyright protection technologies have low efficiency of authority management, traceability, and scalability. In this work, a blockchain-based IP copyright protection algorithm is proposed to address these issues by establishing a mathematical model of quadratic matrix transformation for IP circuit trading. This algorithm proposes the design of a distributed random embedding mechanism and position mapping function that, when IP trading occurs in blockchain, the traceable mapping function can trace the copyright information in IP trading with the mapping factor. Besides, this work analyzes the credibility, transparency, overhead, and complexity. Experimental results show that the proposed algorithm can resist replaying attacks, yet the copyright information can be rapidly retrieved after suffered from attacks. Still, the proposed algorithm has higher security, stability, and traceability.

Open access
Blockchain Technology Applications and Security
Advanced Steganography and Watermarking Techniques
Physical Unclonable Functions (PUFs) and Hardware Security
Original source
Nov 29, 2019·arXiv (Cornell University)
2 cites
Boros: Secure Cross-Channel Transfers via Channel Hub

Yongjie Ye, Jingjing Zhang, Weigang Wu, Xiapu Luo · 5 authors

The payment channel, which allows two parties to perform micropayments without involving the blockchain, has become a promising proposal to improve the scalability of decentralized ledgers such as Bitcoin and Ethereum. Payment channels have been extended to the payment network, through which users can utilize existing channels as intermediary links to route coins to others. However, routing payments through multiple channels bears nontrivial overheads. It requires every intermediary channel to lock a portion of its available capacity until the payment is settled. This may lead to deadlock in a concurrent situation. The intermediary nodes in a payment path may also charge fees for routing a payment. The longer the routing path, the more serious the above problems. In this paper, we design and develop a novel off-chain system to shorten the routing path for the payment network. In particular, we propose the channel hub, which is an extension of the payment hub, to allows transferring coins directly from one payment channel to another within the same hub. That is, the channel hub can be viewed as a shortcut device for the underlying payment network. We design a new protocol named Boros to perform secure off-chain cross-channel transfers through the channel hub. We not only present the security definition of the Boros protocol formally but also prove its security using the UC-framework. To demonstrate the feasibility of the Boros protocol, we develop a proof-of-concept prototype running on the Ethereum. Our evaluation shows that our system can effectively shorten the off-chain routing path.

Open access
2 source records
cs.CR
Blockchain Technology Applications and Security
Cryptography and Data Security
Original source
Aug 26, 2019·arXiv (Cornell University)
12 cites
Towards a Supply Chain Management System for Counterfeit Mitigation\n using Blockchain and PUF

Leonardo Aniello, Basel Halak, Peter R. Chai, Riddhi Dhall · 6 authors

The complexity of today's supply chain, organised in several tiers and\nincluding many companies located in different countries, makes it challenging\nto assess the history and integrity of procured physical parts, and to make\norganisations really accountable for their conduct. This enables malicious\npractices like counterfeiting and insertion of back doors, which are extremely\ndangerous, especially in supply chains of physical parts for industrial control\nsystems used in critical infrastructures, where a country and human lives can\nbe put at risk. This paper aims at mitigating these issues by proposing an\napproach where procured parts are uniquely identified and tracked along the\nchain, across multiple sites, to detect tampering. Our solution is based on\nconsortium blockchain and smart contract technologies, hence it is\ndecentralised, highly available and provides strong guarantees on the integrity\nof stored data and executed business logic. The unique identification of parts\nalong the chain is implemented by using physically unclonable functions (PUFs)\nas tamper-resistant IDs. We first define the threat model of an adversary\ninterested in tampering with physical products along the supply chain, then\nprovide the design of the tracking system that implements the proposed\nanti-counterfeiting approach. We present a security analysis of the tracking\nsystem against the designated threat model and a prototype evaluation to show\nits technical feasibility and assess its effectiveness in counterfeit\nmitigation. Finally, we discuss several key practical aspects concerning our\nsolution ad its integration with real supply chains.\n

Open access
Physical Unclonable Functions (PUFs) and Hardware Security
Blockchain Technology Applications and Security
User Authentication and Security Systems
Original source
Aug 2, 2019·arXiv (Cornell University)
1 cites
Secure Calibration for Safety-Critical IoT: Traceability for Safety Resilience

Ryan Shah, Michael McIntee, Shishir Nagaraja, Sahil Bhandary · 6 authors

Secure sensor calibration constitutes a foundational step that underpins operational safety in the Industrial Internet of Things. While much attention has been given to IoT security such as the use of TLS to secure sensed data, little thought has been given to securing the calibration infrastructure itself. Currently traceability is achieved via manual verification using paper-based datasheets which is both time consuming and insecure. For instance, when the calibration status of parent devices is revoked as mistakes or mischance is detected, calibrated devices are not updated until the next calibration cycle, leaving much of the calibration parameters invalid. Aside from error, any party within the calibration infrastructure can maliciously introduce errors since the current paper based system lacks authentication as well as non-repudiation. In this paper, we propose a novel resilient architecture for calibration infrastructure, where the calibration status of sensor elements can be verified on-the-fly to the root of trust preserving the properties of authentication and non-repudiation. We propose an implementation based on smart contracts on the Ethereum network. Our evaluation shows that Ethereum is likely to address the protection requirements of traceable measurements.

Open access
2 source records
cs.CR
Physical Unclonable Functions (PUFs) and Hardware Security
IoT and Edge/Fog Computing
Original source
May 9, 2019·ACM Transactions on Design Automation of Electronic Systems
87 cites
Electronics Supply Chain Integrity Enabled by Blockchain

Xiaolin Xu, Fahim Rahman, Bicky Shakya, Apostol Vassilev · 6 authors

Electronic systems are ubiquitous today, playing an irreplaceable role in our personal lives as well as in critical infrastructures such as power grid, satellite communication, and public transportation. In the past few decades, the security of software running on these systems has received significant attention. However, hardware has been assumed to be trustworthy and reliable "by default" without really analyzing the vulnerabilities in the electronics supply chain. With the rapid globalization of the semiconductor industry, it has become challenging to ensure the integrity and security of hardware. In this paper, we discuss the integrity concerns associated with a globalized electronics supply chain. More specifically, we divide the supply chain into six distinct entities: IP owner/foundry (OCM), distributor, assembler, integrator, end user, and electronics recycler, and analyze the vulnerabilities and threats associated with each stage. To address the concerns of the supply chain integrity, we propose a blockchain-based certificate authority framework that can be used to manage critical chip information such as electronic chip identification (ECID), chip grade, transaction time, etc. The decentralized nature of the proposed framework can mitigate most threats of the electronics supply chain, such as recycling, remarking, cloning, and overproduction.

Open access
Physical Unclonable Functions (PUFs) and Hardware Security
Neuroscience and Neural Engineering
Integrated Circuits and Semiconductor Failure Analysis
Original source
Apr 5, 2019·ACM Transactions on Design Automation of Electronic Systems
82 cites
Enabling IC Traceability via Blockchain Pegged to Embedded PUF

Md Nazmul Islam, Sandip Kundu

Globalization of IC supply chain has increased the risk of counterfeit, tampered, and re-packaged chips in the market. Counterfeit electronics poses a security risk in safety critical applications like avionics, SCADA systems, and defense. It also affects the reputation of legitimate suppliers and causes financial losses. Hence, it becomes necessary to develop traceability solutions to ensure the integrity of supply chain, from the time of fabrication to the end of product-life, which allows a customer to verify the provenance of a device or a system. In this article, we present an IC traceability solution based on blockchain. A blockchain is a public immutable database that maintains a continuously growing list of data records secured from tampering and revision. Over the lifetime of an IC, all ownership transfer information is recorded and archived in a blockchain. This safe, verifiable method prevents any party from altering or challenging the legitimacy of the information being exchanged. However, a chain of sales record is not enough to ensure provenance of an IC. There is a need for clone-proof method for securely binding the identity of an IC to the blockchain information. In this article, we propose a method of IC supply chain traceability via blockchain pegged to embedded physically unclonable function (PUF). The blockchain provides ownership transfer record, while the PUF provides unique identification for an IC allowing it to be linked uniquely to a blockchain. Our proposed solution automates hardware and software protocols using blockchain-powered Smart Contract that allows supply chain participants to authenticate, track, trace, analyze, and provision chips throughout their entire life cycle.

Open access
Physical Unclonable Functions (PUFs) and Hardware Security
Integrated Circuits and Semiconductor Failure Analysis
Advanced Memory and Neural Computing
Original source