scispace - formally typeset
Search or ask a question

How is blockchain insecure due to quantum computers? 


Best insight from top research papers

Blockchain is insecure due to the advancement of quantum computers. Quantum algorithms like Shor's algorithm and Grover's algorithm pose a threat to the security and privacy of blockchain systems. The current cryptographic systems of blockchain, such as ECDSA, rely on the computational hardness of certain mathematical problems that cannot be solved by classical computers. However, these problems can be solved by quantum algorithms, making the blockchain vulnerable to attacks from quantum computers . To address this issue, researchers are exploring post-quantum cryptographic schemes that are considered quantum resistant and secure from future quantum attacks . Additionally, the security of blockchain relies on the computational complexity of certain mathematical functions, and the evolution of quantum computers may breach its security in the near future. To enhance blockchain network security, researchers are investigating the combination of quantum key distribution (QKD) with blockchain, creating a new technology known as quantum-secured blockchain .

Answers from top 5 papers

More filters
Papers (5)Insight
The paper does not explicitly mention how blockchain is insecure due to quantum computers.
The paper states that the security of current blockchain cryptosystems can be compromised by quantum computing, specifically through algorithms like Shor's large integer factorization algorithm and Grover's unstructured database search algorithm.
Blockchain is insecure due to the evolution of quantum computers, which can breach the security of blockchain by exploiting the computational complexity of certain mathematical functions.
The paper discusses how the advancement of quantum computers poses a threat to the security of blockchain systems, specifically due to the potential development of quantum algorithms that can compromise the hashing and digital signature mechanisms used in blockchain cryptography.
The paper does not provide information on how blockchain is insecure due to quantum computers.

Related Questions

Can cryptography algorithms be made more secure through the use of quantum computing technology?5 answersCryptography algorithms can be made more secure through the use of quantum computing technology. Quantum computers have the potential to break currently secure cryptographic systems, such as symmetric and asymmetric cryptosystems, due to their exponential processing power and the existence of quantum-based algorithms like Grover's and Shor's. These algorithms can solve underlying mathematical problems that form the basis of the security of affected cryptosystems. To address this threat, researchers have explored other mathematical structures, such as lattices, hashes, codes, isogenies, high entropy-based symmetric key resistance, and multivariate quadratic problems, which could provide increased security against quantum-based attacks. Additionally, efforts are being made to standardize post-quantum encryption algorithms that are resistant to future quantum computers. Evaluations of post-quantum cryptography algorithms have been conducted to assess their performance and suitability for real-world applications.
How does network security flaws of blockchain affect the people?4 answersBlockchain network security flaws can have significant implications for people. The misconception that blockchains offer decentralized and trustless security guarantees hampers participants from understanding the differences between public and private blockchains. Private blockchains, due to their centralized nature, have limitations in securing the interests of users in macro-social contexts. On the other hand, public blockchains reveal trust and security shortcomings at the micro and meso-organizational levels. Additionally, the vulnerabilities within the blockchain network, such as complex behaviors and network topology, can be exploited by malicious actors, further compromising the security of participants. Therefore, the network security flaws of blockchain can impact the security and trust assumptions of participants, potentially exposing them to various threats and compromising their interests.
How can i introduce quantum key distribution on blockchain?5 answersA quantum key distribution (QKD) method based on a blockchain can be introduced by following these steps. First, two key pools separated from two places are created, with the same configurations, and connected through public quantum channels. A QKD protocol is then used to generate key streams, which are stored in corresponding positions of the key pools. The key pools are managed by key pool managers, who update storage addresses and interact with users. The key pool managers are connected to a blockchain, which records transactions between users and the managers. Additionally, the blockchain processing circuitry generates a blockchain for multiple groups of data using encryption based on quantum key distribution using N-state qudits. The hash function in the blockchain processing circuitry uses the first digital signature and the second group of data to generate a second digital signature for the second block. This approach improves the efficiency of key distribution while ensuring safety.
What are the potential security implications of quantum computing?5 answersQuantum computing has the potential to transform various application areas but also poses security risks. Quantum computers can suffer from crosstalk and fault injection attacks, compromising the integrity of programs. Third-party calibration services can misreport error rates or mis-calibrate qubits, leading to denial-of-service attacks. The availability of untrusted but cheaper quantum hardware can enable IP theft and tampering of quantum programs and outcomes. Untrusted compilation services can inject Trojans and tamper with quantum circuits. Quantum computers can break current cryptographic systems, posing a threat to privacy and security. Producing enough fault-tolerant qubits is a major challenge for fully utilizing the computational power of quantum computers. Quantum computing holds promise for revolutionizing various fields, including cybersecurity, but advancements and challenges need to be addressed.
What are the biggest risks to blockchain technology?5 answersBlockchain technology faces several risks. These risks include wallet security risks, code vulnerability, risks on the validity of the consensus mechanism, Hash algorithm risk, 51% attack risk, and exchange risk. Additionally, the security and privacy-related challenges derived from the progressive maturity, complexity, lack of standardization, and diversity of protocols pose challenges to blockchain technology. Threats to the security of the blockchain system include eclipse attacks that can hamper the distribution of the blockchain. Cybersecurity threats and vulnerabilities are also a concern, requiring risk management and measures to protect against incidents. Technical vulnerabilities and vulnerability attacks, such as syntax problems, environment setup mistakes, and graphical interface issues, are significant risks to the blockchain system.
How does quantum computing scale the Blockchain architecture?5 answersThe advancement of quantum computers undermines the security of classical blockchain, requiring a quantum-resistant upgrade or a quantum blockchain architecture. A model of quantum blockchain based on the generalized Gram-Schmidt procedure utilizing dimensional lifting is proposed, where transaction information is recorded in multi-qubit states encoded using the extended Gram-Schmidt process. The chain is generated based on the reliance of orthogonalized state on the preceding sequence of states. Mixed ion species chains in linear RF traps can help solve scalability issues in ion trap quantum computation. Communication of quantum data is critical in scalable silicon-based quantum architectures, and quantum teleportation is proposed as a means to communicate data over longer distances on a chip. Realistic quantum error-correction circuits benefit from using teleportation for long-distance communication.

See what other people are reading

Is detecting a different attack worse than not detecting any ?
5 answers
Detecting a different attack is crucial in cybersecurity to prevent potential threats. Research has shown the significance of detecting various attacks, such as DDoS attacks in Named Data Networking (NDN), cache-based side-channel attacks like Spectre v1,v2,v4, and meltdown attacks in processors, and multiple attacks in continuous-variable quantum key distribution systems. Efficient detection mechanisms, including machine learning algorithms and neural network models, have been proposed to address the complexity of identifying different attacks simultaneously. These detection schemes have demonstrated high accuracy rates exceeding 99%, ensuring robust protection against diverse cyber threats. Therefore, detecting different attacks is essential for enhancing network security and mitigating the risks associated with cyber intrusions.
Is detecting a different attack worse than not detecting any attack when there is an attack ?
5 answers
Detecting a different attack when there is an attack can be crucial in maintaining network security. Various research papers highlight the importance of efficient attack detection methods. For instance, Tong et al. propose a real-time detection mechanism for Spectre and meltdown attacks, achieving over 99% accuracy. Additionally, Lu and Peng emphasize the significance of detecting dual attacks in Named Data Networking, developing a robust detection scheme for dual attacks like Cache Pollution Attacks and Collusive Interest Flooding Attacks. Furthermore, Du and Huang introduce multi-attack neural network detection models capable of identifying both known and unknown attacks simultaneously, ensuring high-precision detection without compromising key rates or transmission distances. Therefore, detecting different attacks is essential for network security, as it enhances the overall defense mechanism against evolving threats.
How does DNA profiling aid the identification of individuals?
5 answers
DNA profiling plays a crucial role in identifying individuals through the analysis of short tandem repeats (STR) in their DNA profiles. This process involves comparing an individual's DNA profile with data stored in a DNA profile database. The technique of DNA profiling is widely utilized in forensic investigations, establishing accurate results for individual and relationship analysis, crime investigation, and hereditary disorders. The advent of DNA profiling has revolutionized human identification in forensic science, with millions of samples analyzed using microsatellite amplicons (STRs) on national DNA databases. Additionally, advancements in information technology, such as data mining techniques, have further enhanced the accuracy and efficiency of DNA matching for disaster victim identification.
What are the negative impact of Blockchain in terms of Integration Issues for Manufacturing Companies?
4 answers
Blockchain technology, while offering numerous advantages for manufacturing companies, also presents integration issues. These issues include scalability, flexibility, and cybersecurity limitations. Additionally, the centralized architecture of IoT systems in manufacturing poses challenges such as lack of privacy, security, and appropriate authentication schemes. Despite the potential benefits like self-prediction and self-maintenance brought by Industry 4.0 technologies, concerns persist regarding data security, reliability, adaptability, trust, and privacy in contemporary manufacturing settings. Therefore, integrating blockchain into manufacturing systems may face hurdles related to ensuring data validity protection, communication organization, and process efficiency, highlighting the need to address these negative impacts for successful implementation in the Industry 5.0 framework.
What are the negative impact of Blockchain in terms of Scalability Issues for Manufacturing Companies?
4 answers
Blockchain technology's scalability issues have negative impacts on manufacturing companies. The limitations in blockchain scalability lead to increased transaction costs, reduced service prices, and underutilization of production capacities in Blockchain-Based Shared Manufacturing (BBSM) systems. These limitations are due to the trade-off between scalability, decentralization, and security in existing blockchain networks. The survey of literature highlights various scalability solutions like caching, side chains, off chains, and deep learning methods to address throughput, block size, cost, and latency issues. Public blockchains like Bitcoin and Ethereum face challenges such as low throughput, high latency, and energy consumption, hindering optimal solutions for businesses. Techniques like lightning network, plasma cash, and hard/soft forks are proposed to enhance transaction speed and tackle scalability issues in blockchain systems.
What is the use of time management in computer?
5 answers
Time management in computer systems plays a crucial role in optimizing productivity and efficiency. It involves utilizing tools like Asana, Basecamp, Jira, Redmine, Todoist, and Trello to plan, organize, and utilize time effectively within a company. Additionally, time management methods in computer systems can help individuals and teams in various fields, such as chess, to manage their time optimally. These methods can include custom neural networks and segmented least square approximation techniques to analyze and manage time based on different features. Moreover, the development of information systems with time management methods, such as Pomodoro techniques and ABC analysis, offers dynamic planning, scalability, reminders, and rewards for effective time management. By integrating these tools and techniques, computer-based time management systems enhance productivity and goal achievement in both professional and personal settings.
What are the negative impact of Blockchain in terms of for Software Developers?
5 answers
Blockchain technology, while offering benefits like decentralization and transparency, presents challenges for software developers. The decentralized nature of blockchain can lead to scalability issues in storing user repositories, impacting data privacy. Additionally, the immutability of blockchain makes it difficult to alter or erase data, potentially hindering developers' ability to make necessary changes. Moreover, the open nature of blockchain can exacerbate data privacy concerns, especially in terms of intellectual property rights and the quality of software products. Furthermore, the rapid growth in blockchain applications has led to security vulnerabilities, as seen in past hacks on cryptocurrency exchanges, emphasizing the need for robust security practices in blockchain software development. These factors collectively highlight the negative impacts of blockchain on software developers, necessitating a focus on addressing privacy, security, and scalability challenges.
What are the negative impact of Blockchain in terms of Privacy for Software Developers?
5 answers
Blockchain technology, while offering numerous benefits, poses challenges regarding privacy for software developers. The transparency of blockchain systems can lead to privacy concerns, especially when handling sensitive data. Despite the decentralized nature of blockchain, the requirement for all transaction records to be visible to all nodes increases the risk of privacy breaches. Developers often struggle with implementing privacy-preserving technologies due to their complexity, hindering the full adoption of privacy frameworks in blockchain software. To address these issues, there is a need to bridge the gap between developers and privacy technologies, making it easier to integrate privacy features into blockchain applications. Enhancing privacy tools and simplifying their implementation can help mitigate the negative impact of blockchain on privacy for software developers.
What are the positive impact of Blockchain in terms of Scalability for Data Storage Companies.?
5 answers
Blockchain technology offers significant positive impacts on scalability for data storage companies. By implementing scalable storage solutions, blockchain addresses trust issues through secure data storage. The integration of blockchain with the Internet of Things (IoT) enhances reliable data storage while mitigating scalability challenges through innovative on-chain data scalability schemes. Additionally, the use of private blockchains in multi-tenant storage systems ensures data integrity and scalability, particularly in shared environments, by preventing data tampering and ensuring data isolation. These advancements not only improve storage efficiency but also reduce storage overhead, enhance retrieval efficiency, and guide the setting of data redundancy levels to meet target data availability, thus positively impacting data storage companies' scalability and security.
What are the negative impact of Internet of Things (IoT) in terms of Resource Constraints for Software Developers?
5 answers
The Internet of Things (IoT) poses challenges in terms of resource constraints for software developers. IoT devices, being resource-constrained, face limitations in computing capability, communication power, bandwidth, and battery capacity. This constraint makes implementing conventional cryptographic techniques difficult due to high power consumption requirements, leaving IoT systems vulnerable to attacks. Moreover, the development of IoT systems supported by blockchain and Mobile Edge Computing (MEC) introduces energy consumption and computational overhead concerns, necessitating efficient resource allocation strategies like the Branching Dueling Q-Network Resource Allocation (BDQ-RA) algorithm to optimize energy consumption and computational efficiency. These challenges highlight the importance of addressing resource limitations in IoT development to ensure system security and efficiency.
What are improvements to LoRA?
5 answers
Improvements to LoRa technology include enhancing packet reception capabilities through independently developed algorithms on software-defined radio platforms. Another enhancement involves improving scalability by enabling gateways to collaborate in demodulating different frames, with random-based and deterministic collaboration protocols showing performance benefits. Additionally, equipping LoRa gateways with multiple antennas can lead to significant performance gains, with optimal decision rules derived for coherent and non-coherent detections, along with proposing an iterative semi-coherent detection method. These advancements address challenges such as limited demodulators in gateways, scalability issues, and performance enhancements in various signal conditions, contributing to the overall efficiency and effectiveness of LoRa technology.