Abstract The increasing prominence of cryptocurrencies has brought to the forefront the critical issue of security vulnerabilities, particularly the majority 51% attack. This study addresses the need for benchmarks to distinguish between vulnerable and non-vulnerable cryptocurrencies. A comprehensive literature review reveals a lack of research with the desired statistical rigor in this domain, necessitating the development of a robust model. Drawing upon mathematical modeling, this research fills the gap by proposing a susceptibility test model which incorporates essential parameters identified from literature. The model is validated with additional data to ensure its accuracy and reliability. Furthermore, k-means clustering analysis is employed to determine benchmarking thresholds, allowing for a refined categorization of cryptocurrencies based on their susceptibility levels. The findings of this study reveal five distinct clusters, each representing a unique security profile. Resilience is associated with susceptibility test values less than the critical threshold \(0.532\). In contrast, cryptocurrencies with susceptibility test values greater than 1.557 exhibit alarming vulnerability. In between, three cryptocurrency susceptibility levels are identified, ranging from moderate resilience to high vulnerability. The outcomes of this study serve as a foundation for better-informed investment decisions as well as future research endeavors, informing the development of industry best practices and policy recommendations aimed at strengthening the robustness of cryptocurrencies against malicious activities.
<p>The first cryptocurrency was invested in 2008/09, but the Blockchain-Web3 concept is still in its infancy, and the cyber risk is constantly changing. Our cybersecurity should also be adapting to these changes to ensure security of personal data and continuation of business for organisations. This review paper starts with a comparison of existing cybersecurity standards and regulations from the National Institute of Standards and Technology (NIST) and the International Organization for Standardization (ISO) - ISO27001, followed by a discussion on more specific and recent standards and regulations, such as the Markets in Crypto-Assets Regulation (MiCA), Committee on Payments and Market Infrastructures and the International Organisation of Securities Commissions (CPMI-IOSCO), and more general cryptography and post-quantum cryptography, in the context of cybersecurity. These topics are followed up by a review of recent technical reports on cyber risk/security and a discussion on cloud security questions. Comparison of Blockchain cyber risk is also performed on the recent EU standards on cyber security, including European Cybersecurity Certification Scheme (EUCS) – cloud, and additional US standards – The National Vulnerability Database (NVD) Common Vulnerability Scoring System (CVSS). The study includes a review of Blockchain endpoint security, and new technologies e.g., IoT. The research methodology applied is a review and case study analysing secondary data on cybersecurity. The research significance is the integration of knowledge from the United States (US), the European Union (EU), the United Kingdom (UK), and international standards and frameworks on cybersecurity that can be alighted to new Blockchain projects. The results show that cybersecurity standards are not designed in close cooperation between the two major western blocks - US and EU. In addition, while the US is still leading in this area, the security standards for cryptocurrencies, internet-of-things, and blockchain technologies have not evolved as fast as the technologies have. The key finding from this study is that although the crypto market has grown into a multi-trillion industry, the crypto market has also lost over 70% since its peak, causing significant financial loss for individuals and cooperation’s. Despite this significant impact to individuals and society, cybersecurity standards and financial governance regulations are still in their infancy.</p>
P D Prakruthi, K Yashawanth, D. L. Chethan, Bhuvan Kumar · 7 authors
AWS is an upcoming technology along with decentralized infrastructure. This knowledge is employed in variety of different domains including cloud computing, finance, energy, messaging and others. AWS really takes up vital part in military message passing which enables certainty and safety of messages by dodging changes created to data that is collected in blocks. AWS needs the access where each user is an authorized user. In this paper we will be proposing different cryptographic techniques along with AWS technology to ensure safe and secure passage of messages between different teams in the defence sector.
Cyber threat intelligence (CTI) is contextualised knowledge, built on information that is collected, processed, analysed, and disseminated to the right audience, in order to comprehend a malicious threat actor’s motivation, goals, objectives, targets, and attack behaviours. The CTI value increases by the ability to be shared, consumed, and actioned timely, by the right stakeholders, based always on quality standards and parameters, which boost the cyber security community to understand how adversaries act and to counter the constantly emerging sophisticated cyber threats. In this article, along with the identification of research gaps, after a comparison between existing research studies in the similar scope of CTI evaluation and sharing mechanisms, we propose a blockchain-based cyber threat intelligence system architecture, which collects, evaluates, stores, and shares CTI, enabling tamper-proof data and exclusion of untrustworthy evaluation peers, while evaluating, at the same time, the quality of CTI Feeds against a defined set of quality standards. The evaluation of the data is performed utilising a reputation and trust-based mechanism for selecting validators, who further rate the CTI feeds using quality-based CTI parameters, while the consensus for preserving the fairness of the results and their final storage is performed via the recently introduced proof-of-quality (PoQ) consensus algorithm. The data, which are stored in the proposed ledger, constitute a reliable, distributed, and secure repository of CTI Feeds and contain their objective evaluation, as well as the performance of the validators who participated in each evaluation, while these data can be further used for assessing the reputation of CTI Sources. Finally, in order to assess the proposed system’s reliability, integrity, and tolerance against malicious activities, the model is subject to a theoretical analysis using a probabilistic simulation, taking into account various aspects and features of the integrated mechanisms. The results show that the tolerance against malicious validators is acceptable, even when the ratio between legitimately vs. maliciously behaving validators is 1 : 50.
The primary innovation we pioneer -- focused on blockchain information security -- is called the Safe-House. The Safe-House is badly needed since there are many ongoing hacks and security concerns in the DeFi space right now. The Safe-House is a piece of engineering sophistication that utilizes existing blockchain principles to bring about greater security when customer assets are moved around. The Safe-House logic is easily implemented as smart contracts on any decentralized system. The amount of funds at risk from both internal and external parties -- and hence the maximum one time loss -- is guaranteed to stay within the specified limits based on cryptographic fundamentals. To improve the safety of the Safe-House even further, we adapt the one time password (OPT) concept to operate using blockchain technology. Well suited to blockchain cryptographic nuances, our secondary advancement can be termed the one time next time password (OTNTP) mechanism. The OTNTP is designed to complement the Safe-House making it even more safe. We provide a detailed threat assessment model -- discussing the risks faced by DeFi protocols and the specific risks that apply to blockchain fund management -- and give technical arguments regarding how these threats can be overcome in a robust manner. We discuss how the Safe-House can participate with other external yield generation protocols in a secure way. We provide reasons for why the Safe-House increases safety without sacrificing the efficiency of operation. We start with a high level intuitive description of the landscape, the corresponding problems and our solutions. We then supplement this overview with detailed discussions including the corresponding mathematical formulations and pointers for technological implementation. This approach ensures that the article is accessible to a broad audience.
Jelena Marjanović, Nikola Dalčeković, Goran Sladić
The increasing threat landscape in Industrial Control Systems (ICS) brings different risk profiles with comprehensive impacts on society and safety. The complexity of cybersecurity risk assessment increases with a variety of third-party software components that comprise a modern ICS supply chain. A central issue in software supply chain security is the evaluation whether the secure development lifecycle process (SDL) is being methodologically and continuously practiced by all vendors. In this paper, we investigate the possibility of using a decentralized, tamper-proof system that will provide trustworthy visibility of the SDL metrics over a certain period, to any authorized auditing party. Results of the research provide a model for creating a blockchain-based approach that allows inclusion of auditors through a consortium decision while responding to SDL use cases defined by this paper. The resulting blockchain architecture successfully responded to requirements mandated by the security management practice as defined by IEC 62443-4-1 standard.
The issue of creating an information security system is very relevant in the world today. One of the urgent tasks is to solve the issues of effective protection of information from both external and internal threats through the creation and implementation of information security management systems in automated systems of enterprises, which, among other things, requires the formalization of the task of protecting information for its subsequent implementation by software and other means. Now there are security analysis systems, for example, that examine the security elements settings of workstations and servers operating systems, analyze the network topology, look for unprotected network connections, examine the settings of firewalls. The disadvantage of these systems is that they are not suitable for monitoring large volumes of network traffic. The solution to this problem is the use of monitoring tools capable of analyzing large amounts of data in real time. Therefore, a significant place in the article is given to the review of developments based on artificial intelligence technologies, namely multi-agent systems, review of information security models, threat risk assessment in automated systems.
 The functional architecture of the information security management system based on a multi-agent system has been proposed to search in real time for information security optimal solutions through the selection of such coalitions of protection mechanisms agents that will allow to build the optimal protection of the automated system according to the selected criteria. The model with complete overlapping of threats has been substantiated and adopted as a basis, which allows to analyze the overall situation and choose strategically important decisions directly during the organization of information security. The essence of of multi-agent systems functioning that implement a decentralized control system based on the work of autonomous agents that can be implemented programmatically has been revealed. The role of threat agents, resource agents, agents of protection mechanisms and their functional purpose have been defined. The problem of searching a set of protection mechanisms agents coalition for the current state of the automated system as a problem of optimal search by the criterion of protection cost, taking into account the value of information, has been generalized. Due to the modularity of the multi-agent system, the further work will be aimed at detailing its components and perfection.
Social engineering (SE) attacks (also called social hacking) refer to various methods used by cybercriminals to exploit the weak nature of human beings rather than the logical and physical security measures used by organizations. This research paper studies the various methods of SE used by criminals to exploit the psychological vulnerabilities of human beings. On this basis, the paper proposes a new defense categorization of SE attacks based on two security principles: dual control (i.e., more than one entity to complete the task) and split knowledge (i.e., dual controlling of the knowledge to complete the task). We describe how those measures could stop SE attacks and avoid human weaknesses. Then, we propose an original new SE defense model that implements the security principles using blockchain technology to both dual control the transactions and record them safely for organizations. The proposed model’s first aim is to avoid the dependence on the cognitive or psychological status of the victim and enable more verification steps to be taken in a fast and flexible manner. The paper demonstrates the quick and easy adoption of the existing private blockchain platform to implement the proposed SE defense model.
As the digital ecosystem evolves, secure and efficient Digital IdentityManagement Systems (DIMS) have become pivotal in managing identities acrossgovernmental, financial, healthcare, and commercial sectors. This paper offers across-sectoral examination of DIMS, emphasizing security and privacy concerns andtheir mitigation strategies. Drawing on current technologies such as blockchain,biometrics, and zero-knowledge proofs, the study explores how these systems canprotect sensitive information while ensuring interoperability and compliance withregulatory frameworks. Through comparative analysis, graphical insights, and realworld case studies, the paper underscores the need for standardized and resilientidentity infrastructures that balance user privacy and system functionality
Ningyu He, Haoyu Wang, Lei Wu, Xiapu Luo · 6 authors
EOSIO, as one of the most representative blockchain 3.0 platforms, involves lots of new features, e.g., delegated proof of stake consensus algorithm and updatable smart contracts, enabling a much higher transaction per second and the prosperous decentralized applications (DApps) ecosystem. According to the statistics, it has reached nearly 18 billion USD, taking the third place of the whole cryptocurrency market, following Bitcoin and Ethereum. Loopholes, however, are hiding in the shadows. EOSBet, a famous gambling DApp, was attacked twice within a month and lost more than 1 million USD. No existing work has surveyed the EOSIO from a security researcher perspective. To fill this gap, in this paper, we collected all occurred attack events against EOSIO, and systematically studied their root causes, i.e., vulnerabilities lurked in all relying components for EOSIO, as well as the corresponding attacks and mitigations. We also summarized some best practices for DApp developers, EOSIO official team, and security researchers for future directions.
Blockchain has recently taken off as a disruptive technology, from its initial use in cryptocurrencies to wider applications in areas such as property registration and insurance due to its characteristic as a distributed ledger which can remove the need for a trusted third party to facilitate transactions. This spread of the technology to new application areas has been driven by the development of smart contracts – blockchain-based protocols which can automatically enforce a contract by executing code based on the logic expressed in the contract. One exciting area for blockchain is higher education. Students in higher education are ever more mobile, and in an ever more agile world, the friction and delays caused by multiple levels of administration in higher education can cause many anxieties and hardships for students as well as potential employers who need to examine and evaluate student credentials. Distance learning as a primary platform for higher education promises to open up higher education to a wider range of learners than ever before. Blockchain-based storage of academic credentials is being widely studied due to the advantages it can bring. As with any network-based system, blockchain comes with a number of security and privacy concerns. Blockchain needs to meet several security-related requirements to be widely accepted: decentralization; confidentiality; integrity; transparency; and immutability. Researchers have been busy devising schemes to ensure that such requirements can be met in blockchain-based systems. Several types of blockchain-specific attacks have been identified: 51% attacks; malicious contracts; spam attacks; mining pools; targeted DDoS attacks; and others. Real-world attacks on blockchain-based systems have been seen on cryptocurrency sites. In this paper, we will evaluate the specific privacy and security concerns for blockchain-based systems used for academic credentials as well as suggested solutions. We also examine the issues for academic credentials which are stored “off-chain” in such systems (as is often the case). In this case, a Distributed File System (DFS) implemented with a peer-to-peer (P2P) architecture is often the choice for the storage of the academic credentials since it matches the decentralized nature of blockchain. Blockchain then contributes much to the usefulness of such a DFS, making it in turn a good match for a P2P DFS such as IPFS.
S. Kate Devitt, Jason Scholz, Timo Schless, L Lewis
Abstract Artificial intelligences (AI) will increasingly participate digitally and physically in conflicts yet there is a lack of trusted communications with humans for humanitarian purposes. For example, in disasters and conflicts messaging and social media are used to share information, however, international humanitarian relief organisations treat this information as unverifiable and untrustworthy. Furthermore, current AI implementations can be brittle, with a narrow scope of application and wide scope of ethical risks. Meanwhile, human error can cause significant civilian harms even by combatants committed to compliance with international humanitarian law. AI offers an opportunity to help reduce the tragedy of war and better deliver humanitarian aid to those who need it. However, to be successful, these systems must be trusted by humans and their information systems, overcoming flawed information flows in conflict and disaster zones that continue to be marked by intermittent communications, poor situation awareness, mistrust and human errors. In this paper, we consider the integration of a communications protocol (the ‘Whiteflag protocol’), distributed ledger ‘blockchain’ technology, and information fusion with artificial intelligence (AI), to improve conflict communications called “Protected Assurance Understanding Situation & Entities” (PAUSE). Such a trusted human-AI communication network could provide accountable information exchange regarding protected entities, critical infrastructure, humanitarian signals and status updates for humans and machines in conflicts. Trust-based information fusion provides resource-efficient use of diverse data sources to increase the reliability of reports. AI can catch human mistakes and complement human decision making, while human judgment can direct and override AI recommendations. We examine several realistic potential case studies for the integration of these technologies into a trusted human-AI network for humanitarian benefit including mapping a conflict zone with civilians and combatants in real time, preparation to avoid incidents and using the network to manage misinformation. We finish with a real-world example of a PAUSE-like network, the Human Security Information System (HSIS), being developed by USAID, that uses blockchain technology to provide a secure means to better understand the civilian environment.
Bitcoin is one of the most mature public chain application systems,the user key is the critical factor to the process of determining the ownership of Bitcoin,the security of Bitcoin is guaranteed by the safe management of the user key,and the loss of the key will lead to the loss of a large number of user assets.So it is an urgent problem to recover the lost assets.This paper proposes a key update mechanism in Bitcoin based on the improved P2PKHCA (pay-to-public-key-hash-with-conditional-anonymity) script scheme to solve above problems.Firstly,the key generation algorithm in the P2PKHCA scheme is improved by introducing the key life cycle and random number to solve its key leakage problem.Secondly,the two new opcodes,OP_KEYUPDATE and OP_TSELECTION,are proposed to design the new key update script to realize the user key update of the Bitcoin system.Finally,two types of key update schemes based on the key update script are constructed to make the script suitable for the requirements of different key update applications.The security analysis and performance analysis of the key update mechanism show that the proposed mechanism realizes the recovery of lost Bitcoins in the Bitcoin system on the premise of the effective completion of update of user's key.
Abdul Razaque, Abrar Al Ajlan, Noussaiba Melaoune, Munif Alotaibi · 9 authors
Modern information technology (IT) is well developed, and almost everyone uses the features of IT and services within the Internet. However, people are being affected due to cybersecurity threats. People can adhere to the recommended cybersecurity guidelines, rules, adopted standards, and cybercrime preventive measures to largely mitigate these threats. The ignorance of or lack of cybersecurity knowledge also causes a critical problem regarding confidentiality and privacy. It is not possible to fully avoid cybercrimes that often lead to sufficient business losses and spread forbidden themes (disgust, extremism, child porn, etc.). Therefore, to reduce the risk of cybercrimes, a web-based Blockchain-enabled cybersecurity awareness program (WBCA) process is introduced in this paper. The proposed WBCA trains users to improve their security skills. The proposed program helps with understanding the common behaviors of cybercriminals and improves user knowledge of cybersecurity hygiene, best cybersecurity practices, modern cybersecurity vulnerabilities, and trends. Furthermore, the proposed WBCA uses Blockchain technology to protect the program from potential threats. The proposed program is validated and tested using real-world cybersecurity topics with real users and cybersecurity experts. We anticipate that the proposed program can be extended to other domains, such as national or corporate courses, to increase the cybersecurity awareness level of users. A CentOS-based virtual private server is deployed for testing the proposed WBCA to determine its effectiveness. Finally, WBCA is also compared with other state-of-the-art web-based programs designed for cybersecurity awareness.
Lampis Alevizos, Vinh‐Thong Ta, Mahmoud Hashem Eiza
Abstract With the purpose of defending against lateral movement in today's borderless networks, zero trust architecture (ZTA) adoption is gaining momentum. With a full‐scale ZTA implementation, it is unlikely that adversaries will be able to spread through the network starting from a compromised endpoint. However, the already authenticated and authorized session of a compromised endpoint can be leveraged to carry out limited, though malicious, activities ultimately rendering the endpoints the Achilles heel of ZTA. To effectively detect such attacks, distributed collaborative intrusion detection systems with an attack scenario‐based approach have been developed. Nonetheless, advanced persistent threats have demonstrated their ability to bypass this approach with a high success ratio. As a result, adversaries can pass undetected or potentially alter the detection logging mechanisms to achieve a stealthy presence. Recently, blockchain technology has demonstrated solid use cases in the cyber security domain. In this paper, motivated by the convergence of ZTA and blockchain‐based intrusion detection and prevention, we examine how ZTA can be augmented onto endpoints. Namely, we perform a state‐of‐the‐art review of ZTA models, real‐world architectures with a focus on endpoints, and blockchain‐based intrusion detection systems. We discuss the potential of blockchain's immutability fortifying the detection process and identify open challenges as well as potential solutions and future directions.
Ifeoluwa Oreofe Oluwafemi, T. Prabhakar Clement, Oluwasanmi Segun Adanigbo, Toluwase Peter Gbenle · 5 authors
The global pharmaceutical industry faces growing threats from counterfeit and substandard drugs, undermining public health, regulatory compliance, and supply chain trust. To address these challenges, this paper evaluates the efficacy of DIDChain-enabled blockchain frameworks, which integrate Decentralized Identifiers (DIDs) with distributed ledger technology to establish real-time provenance verification and anti-counterfeit control. Drawing on a comprehensive body of literature, including conceptual frameworks in digital transformation, cybersecurity, business intelligence, and cloud-based analytics, the study explores how DIDChain infrastructure can enhance transparency, immutability, and interoperability in pharmaceutical logistics. The analysis incorporates findings from prior research on AI-driven fraud detection, supply chain resilience, and data governance models, particularly those applied in the financial, energy, and SME sectors. The evaluation highlights the role of DIDChain in supporting secure product authentication, automated compliance auditing, and cross-border regulatory coordination. This research contributes to emerging discourse on digital trust technologies, offering a scalable and interoperable solution for ensuring drug integrity in complex and globalized pharmaceutical ecosystems.
Smart contract vulnerability detection draws extensive attention in recent years due to the substantial losses caused by hacker attacks. Existing efforts for contract security analysis heavily rely on rigid rules defined by experts, which are labor-intensive and non-scalable. More importantly, expert-defined rules tend to be error-prone and suffer the inherent risk of being cheated by crafty attackers. Recent researches focus on the symbolic execution and formal analysis of smart contracts for vulnerability detection, yet to achieve a precise and scalable solution. Although several methods have been proposed to detect vulnerabilities in smart contracts, there is still a lack of effort that considers combining expert-defined security patterns with deep neural networks. In this paper, we explore using graph neural networks and expert knowledge for smart contract vulnerability detection. Specifically, we cast the rich control- and data- flow semantics of the source code into a contract graph. To highlight the critical nodes in the graph, we further design a node elimination phase to normalize the graph. Then, we propose a novel temporal message propagation network to extract the graph feature from the normalized graph, and combine the graph feature with designed expert patterns to yield a final detection system. Extensive experiments are conducted on all the smart contracts that have source code in Ethereum and VNT Chain platforms. Empirical results show significant accuracy improvements over the state-of-the-art methods on three types of vulnerabilities, where the detection accuracy of our method reaches 89.15%, 89.02%, and 83.21% for reentrancy, timestamp dependence, and infinite loop vulnerabilities, respectively.
By law, schools are required to protect the well-being of students against problems such as on-campus bullying and physical abuse. In the UK, a report by the Office for Education (OfE) showed 17% of young people had been bullied during 2017–2018. This problem continues to prevail with consequences including depression, anxiety, suicidal thoughts, and eating disorders. Additionally, recent evidence suggests this type of victimisation could intensify existing health complications. This study investigates the opportunities provided by Internet of Medical Things (IoMT) data towards next-generation safeguarding. A new model is developed based on blockchain technology to enable real-time intervention triggered by IoMT data that can be used to detect stressful events, e.g., when bullying takes place. The model utilises private permissioned blockchain to manage IoMT data to achieve quicker and better decision-making while revolutionising aspects related to compliance, double-entry, confidentiality, and privacy. The feasibility of the model and the interaction between the sensors and the blockchain was simulated. To facilitate a close approximation of an actual IoMT environment, we clustered and decomposed existing medical sensors to their attributes, including their function, for a variety of scenarios. Then, we demonstrated the performance and capabilities of the emulator under different loads of sensor-generated data. We argue to the suitability of this emulator for schools and medical centres to conduct feasibility studies to address sensor data with disruptive data processing and management technologies.
José Eduardo de Azevedo Sousa, Vinícius Cunha Oliveira, Júlia Almeida Valadares, Alex Borges Vieira · 7 authors
O crescimento do interesse em Ethereum leva a preocupações relacionadas à sua segurança, dado que já houveram ataques que exploraram o seu mecanismo de tarifação ou Penny Attack. Esses ataques afetaram a rede ocasionando lentidão nas transações e há indícios que Ethereum continua susceptível a esse tipo de ataque. Analisamos o comportamento da rede Ethereum durante um Penny Attack, buscando técnicas de aprendizado de máquina para detectá-lo previamente, utilizando atributos das transações. Nossas técnicas tiveram AUC, Fb e recall superior a 94%, 82% e 98% respectivamente.
Alexandra Mai, Katharina Pfeffer, Matthias Gusenbauer, Edgar Weippl · 5 authors
Frequent reports of monetary loss, fraud, and user-caused security incidents in the context of cryptocurrencies emphasize the need for human-centered research in this domain. We contribute the first qualitative user study (N=29) on user mental models of cryptocurrency systems and the associated threat landscape. Using Grounded Theory, we reveal misconceptions affecting users' security and privacy. Our results suggest that current cryptocurrency tools (e.g., wallets and exchanges) are not capable of counteracting threats caused by these misconceptions. Hence, users frequently fail to securely manage their private keys or assume to be anonymous when they are not. Based on our findings, we contribute actionable advice, grounded in the mental models of users, to improve the usability and secure usage of cryptocurrency systems.
Davy Preuveneers, Wouter Joosen, Jorge Bernal Bernabé, Antonio Skármeta
Computer security incident response teams typically rely on threat intelligence platforms for information about sightings of cyber threat events and indicators of compromise. Other security building blocks, such as Network Intrusion Detection Systems, can leverage the information to prevent malicious adversaries from spreading malware across critical infrastructures. The effectiveness of threat intelligence platforms heavily depends on the willingness to share among organizations and the responsible use of sensitive information that may potentially harm the reputation of the reporting organization. The challenge that we address is the lack of trust in the source providing the threat intelligence and the information itself. We enhance our security framework TATIS—offering fine-grained protection for threat intelligence platform APIs—with distributed ledger capabilities to enable reliable and trustworthy threat intelligence sharing with the ability to audit the provenance of threat intelligence. We have implemented and evaluated the feasibility of our distributed framework on top of the Malware Information Sharing Platform (MISP) solution, and we evaluate the performance impact using real-world open-source threat intelligence feeds.
Vyper has been proposed as a new high-level language for Ethereum smart\ncontract development due to numerous security vulnerabilities and attacks\nwitnessed on contracts written in Solidity since the system's inception. Vyper\naims to address these vulnerabilities by providing a language that focuses on\nsimplicity, auditability and security. We present a survey where we study how\nwell-known and commonly-encountered vulnerabilities in Solidity feature in\nVyper's development environment. We analyze all such vulnerabilities\nindividually and classify them into five groups based on their status in Vyper.\nTo the best of our knowledge, our survey is the first attempt to study security\nvulnerabilities in Vyper.\n
Critical infrastructure sectors are increasingly adopting enterprise Distributed Ledgers (DL) to host long-term assets, systems, and information that is considered vital to an organization’s ability to operate without clear or public plans and strategies to migrate safely and timely to Post Quantum Cryptography (PQC). A quantum computer (QC) compromised DL would allow, eavesdropping, unauthorized client authentication, signed malware, cloak-in encrypted session, a man-in-the-middle attack (MITM), forged documents and emails. These attacks can lead to disruption of service, damage of reputation and trust, injury to human life, and the loss of intellectual property, assets, regulated data, and global economic security. In 2018, Gartner revealed that a QC is a digital disruption that organizations may not be ready and prepared, and CIOs may not see coming. On September 18, 2019, IBM announced the largest universal QC available for commercial use would be available in October 2019. On October 23, 2019, Google officially announced “Quantum Supremacy,” “by performing a calculation in 200 seconds that would take a classical supercomputer approximately 10,000 years.” DL Cyber Resilience requires “reasonable” measures, policies, procedures, strategies, and risk management before large-scale deployment. Cyber Resilience implementations must be a critical component during the design and building phase, or during the initialization phase. The most significant existing attack vectors for enterprise DLs is the Public Key Infrastructure (PKI), which is fundamental in securing the Internet and enterprise DLs and is a core component of authentication, data confidentiality, and data and system integrity [1] [2]. Effectively implementing and managing a quantum-resistant PKI solution requires adherence to PKI standards, industry requirements, potential government mandates, certificate management policies, training personnel, and data recovery policies that currently do not exist. This research discusses security risks in enterprise DL PKI, areas that can be compromised, and provides an idea of what should be in a PKI DL Risk Management Framework plan.