Astraea blockchain
Daedalus support. Every time one of his tasks are finished he discards his current tools, which Zagreus may find to alter their Infernal Arms for the duration of a run. Visit the Logitech G Store. Dreams Of Daedalus. In the ten free gigs i have on that machine, daedalus didnt even get the entire blockchain loaded before it filled it up. The main difference to current wallets is, that Nami can be injected into Step by Step tutorial on how to use your ledger hardware wallet with the Daedalus wallet.
We are searching data for your request:
Astraea blockchain
Upon completion, a link will appear to access the found materials.
Content:
- ADVANCED CYBERSECURITY TECHNOLOGIES: HOW IT WORKS
- SoK: Oracles from the Ground Truth to Market Manipulation
- The State of Decentralized Oracles
- "Astraea: A Decentralized Blockchain Oracle."
- Fintech & Digital Currency Regulation
- Howmet upoint login
- A Distributed Oracle Using Intel SGX for Blockchain-Based IoT Applications
- Astraea: A Decentralized Blockchain Oracle
- Cryptocurrencies in Financial Crime: Investigative and Enforcement Challenges
ADVANCED CYBERSECURITY TECHNOLOGIES: HOW IT WORKS
Published on Authors of this article:. Background: In recent years, researchers have made significant efforts in advancing blockchain technology. This technology, with distinct features of decentralization and security, can be applied to many fields. In areas of health data and resource sharing, applications of blockchain technology are also emerging.
Objective: In this study, we propose a cloud health resource-sharing model based on consensus-oriented blockchain technology and have developed a simulation study on breast tumor diagnosis. Methods: The proposed platform is built on a consortium or federated blockchain that possesses features of both centralization and decentralization.
The consensus mechanisms generate operating standards for the proposed model. Open source Ethereum code is employed to provide the blockchain environment. Proof of Authority is selected as the consensus algorithm of block generation. Results: Based on the proposed model, a simulation case study for breast tumor classification is constructed.
The simulation includes service requests from users; 22 service providers are equipped with 22 different classification methods. Each request is fulfilled by a service provider recommended by the weighted k-nearest neighbors KNN algorithm.
The majority of service requests are handled by 9 providers, and provider service evaluation scores tend to stabilize. Also, user priority on KNN weights significantly affects the system operation outcome.
Conclusions: The proposed model is feasible based on the simulation case study for the cloud service of breast tumor diagnosis and has the potential to be applied to other applications. Health care is closely related to the survival and happiness of human beings, and thus the efficiency and effectiveness of health care are of critical importance.
The health care industry is one of the most important industries for developed and developing countries. In either group of countries, the growth rate of health care expenditure is higher than that of gross domestic product [ 1 ]. In recent decades, information and computer technologies have significantly improved the efficiency of health care delivery and access to care and greatly reduced the waste of health care resources. Besides the well-known examples of electronic health records EHRs , telemedicine, and clinical decision support systems, applications of new technologies such as mobile health and artificial intelligence AI are booming.
For instance, HealthTap [ 2 ], a popular health app, offers health services at no additional charge to policyholders that include asking a network of licensed physicians health-related questions online by connecting immediately or by appointment with a doctor for consultation via video conference, phone call, or text chat.
It has now attracted more than , licensed doctors in good standing from countries. The goal is to deliver better care for millions of people worldwide. However, a rising number of issues have been reported along with the digitalization and informatization in health care fields.
It is well recognized that information systems can fail to deliver the best solution for the patients due to the lack of necessary information [ 4 ].
Adler-Milstein et al [ 5 ] illustrated that customized and incompatible health systems can cause gaps in communication and coordination between medical organizations. Zhang et al [ 6 ] believed that in health information systems, one fundamental problem is the lack of a trusted platform that can connect independent health systems and provide an end-to-end reachable network.
Similarly, Zhang et al [ 7 ] also indicated that pressing issues in the health field include fragmented and siloed data, delayed communications, disparate workflow tools, and the lack of a health care resource—sharing platform.
In this regard, blockchain technology, with its unique characteristics such as decentralization, consensus, cryptocurrency, and immutability of data, provides a novel tool to address these issues.
In this study, we propose a cloud health resource—sharing model based on consensus-oriented blockchain technology and illustrate the model with a case study on breast tumor diagnosis. Health data sharing has been one of the biggest challenges for health care organizations. Since Bitcoin was first introduced in by the pseudonymous creator Satoshi Nakamoto [ 8 ], it has experienced amazing development.
Blockchain, which is the core technology of Bitcoin, has drawn unprecedented interest and attention. In the past several years, researchers and practitioners have started to recognize the value of blockchain technology for addressing data sharing challenges.
Rifi et al [ 9 ] illustrated the specific problems such as privacy, scalability, and interoperability and highlighted the benefits of blockchain technology in the deployment of a secure and scalable solution for medical data exchange.
Xia et al [ 10 ] addressed patient privacy risks of disseminating medical data beyond the protected cloud of institutions and proposed a blockchain-based data-sharing framework. The framework addresses access control challenges associated with sensitive data stored in the cloud using the immutability and built-in autonomy properties of blockchains.
Liang et al [ 11 ] proposed an innovative user-centric health data-sharing solution by using a decentralized and permissioned blockchain for privacy protection and identity management improvement. More recently, Alexaki et al [ 12 ] also considered blockchain technology for supporting the decentralized care cycle.
With blockchain technology, patient privacy and medical record integrity is addressed, while efficient interoperability between providers is simultaneously ensured. Zhang et al [ 5 ] illustrated the contributions of blockchain technology for clinical data sharing in the context of technical requirements defined in the Shared Nationwide Interoperability Roadmap from the Office of the National Coordinator for Health Information Technology.
In addition, Ji et al [ 13 ] proposed a location-sharing scheme for telecare medical information systems by using blockchain technology.
In their work, basic requirements of the scheme such as decentralization, confidentiality, and verifiability were defined and an experiment was conducted to demonstrate the efficiency and feasibility of the proposed scheme. In literature, numerous studies have applied blockchain technology to EHR management. The InterPlanetary File System protocol was proposed to save discharged patient records, thus reducing the load on the actual blockchain.
Li et al [ 15 ] proposed a novel blockchain-based data preservation system for medical data in which users can preserve the essential data and the originality of data. A prototype of the data preservation system was implemented based on the real-world blockchain-based platform Ethereum, and the results demonstrated the effectiveness and efficiency of the proposed system.
Dagher et al [ 16 ] proposed a blockchain-based framework called Ancile. The Ancile framework can provide secure, interoperable, and efficient access to medical records for patients, providers, and third parties while preserving the privacy of patient-sensitive information.
Chen et al [ 17 ] designed a storage scheme to manage personal medical data based on blockchains and cloud storage. Furthermore, a service framework for sharing medical records was described. Also, the characteristics of the medical blockchain were presented and analyzed through comparison with traditional systems. Wang and Song [ 18 ] proposed a secure EHR system with an attribute-based cryptosystem for medical data, identity-based encryption for digital signatures, and blockchain technology for the integrity and traceability of medical data.
Similarly, Guo et al [ 19 ] indicated there is a critical need for patients to pay close attention to their own health care information and medical data storage. An attribute-based signature scheme with multiple permissions was proposed to ensure the effectiveness of EHR infused in the blockchain. Zhang et al [ 20 ] described the issues of system evolvability, storage requirements minimization, patient data privacy protection, and application scalability across a large number of users.
These challenges can be mitigated in a blockchain-based decentralized application DApp for smart health. Brogan et al [ 21 ] discussed how distributed ledger technologies can play a key role in advancing electronic health by ensuring the authenticity and integrity of data generated by wearable and embedded devices. Tian et al [ 22 ] proposed to establish a shared key that could be reconstructed by the legitimate parties before the process of diagnosis and treatment begins.
The data in the diagnosis and treatment process are encrypted and stored in a blockchain using the shared key. Blockchain technology provides the health industry a new vision for drug tracking, in particular opioid prescription tracking. Mettler et al [ 23 ] demonstrated the examples of public health care management, user-oriented medical research, and drug counterfeiting in the pharmaceutical sector.
The examples were believed to be just the starting points for blockchain technology to be adopted in the health care industry. Dhillon et al [ 24 ] proposed a blockchain system in which a provider can check the blockchain to find a currently active prescription when writing a prescription. An active prescription from a different provider will automatically invalidate the request for a new prescription, and this can be encoded as a second spending request in the network. Meanwhile, efforts have been made by major blockchain participants such as IBM and Deloitte blockchain laboratories to control opioid overdose epidemics.
Zhang et al [ 5 ] indicated that blockchain-based systems can build a trusted network of hospitals and pharmacies to store drug-related transactions in a responsible way. The distributed and shared-licensed blockchain platform allows loosely coupled providers to access other data silos without a clear trust relationship among them. Taylor and Hare [ 25 ] employed the permissions and restrictions associated with the digital wallet to interact with unexpected events and requirements of transactions contained in blocks.
This interaction can be used to realize the verification of opioid dose ownership. It may also include provisions for the sale of opioids that involve current owners, patients, and drug abuse agencies. The online service of clinical trials and precision medicine is becoming increasingly popular.
Blockchain technology provides a trustworthy safety mechanism for this service. Shae and Tsai [ 26 ] proposed a blockchain platform for clinical trials and precision medicine, and they identified four new system architecture components required to be developed on top of the traditional blockchain. Suzuki et al [ 27 ] proposed a scheme to record both client requests and server replies in an auditable manner using blockchain technology as a request-response channel for a client-server system.
A proof-of-concept algorithm was developed based on a publicly available blockchain testbed. Tsai [ 28 ] proposed a mechanism for transforming repetitive blockchain calculations into a distributed parallel computing architecture. In the process, smart contracts are adopted to support mobile computing. The mechanism is elucidated to establish real-world evidence of clinical trials for individuals and precision medicine.
Benchoufi et al [ 29 ] adopted blockchain technology to build a consent workflow. A single document is obtained in an open format that explains the entire consent collection process.
It is believed that in the future, blockchains can be used to track complex data from clinical trials, and streaming smart contracts can help prevent clinical trial events from occurring in incorrect chronological order. The proposed system presents a new model of consensus-oriented health data and service sharing by integrating the blockchain technologies with the concept of cloud computing. Blockchain techniques such as public key and private key technology, virtual currency, smart contract, consensus algorithm, and HASH encrypted technology are used for automatic consensus-driven services and sharing of value.
The services allow health care organizations, health platforms, individuals, and health-relevant industry to share the increasing system value and possess a variety of safe, reliable, credible, high-quality, inexpensive, easily payable, and on-demand health resources.
The proposed health service—sharing model is based on an open source system. All of the consensus standards and system recommendation algorithms are open source to the approved users. The proposed model adopts the consortium or federated blockchain structure [ 30 ]. Therefore, the blockchain system in the proposed model is not fully decentralized. Instead, the consensus-oriented centralized model helps the system to stay away from the potential issues of a fully decentralized system such as crime and volatility.
Users in the proposed model are divided into three major categories: administrators, service providers, and regular users.
Administrators typically include signers and members of arbitration committees. The information of service providers is pre-verified by an administrator, and the administrators vote through smart contracts. The blockchain system only stores transaction and summary information related to system components such as the basic machine specification. However, there are many types of information eg, medical images that need to be verified by the blockchain system in the proposed model.
Those data are typically saved in a distributed storage system and verified by the Oracle mechanism. Oracle in a blockchain system provides trusted entities that allow the blockchain system to access external data [ 31 ]. The Oracle mechanism also guarantees the safety of external data blockchain data.
SoK: Oracles from the Ground Truth to Market Manipulation
One fundamental limitation of blockchain-based smart contracts is that they execute in a closed environment and only have access to the data and functionality that is either already on the blockchain or fed into the blockchain. Thus any interactions with the real world need to be mediated by a bridge service, which is called an oracle. As decentralized applications mature, oracles are playing an increasingly prominent role. With their evolution comes more attacks, necessitating a greater attention to the trust model of using oracles. In this SoK, we systemize the design alternatives for oracles, showcase attacks, and discuss attack mitigation strategies. Shayan Eskandari.
The State of Decentralized Oracles
Astrea Juice untangles the hairball of home tech. Instead of monitoring everything independently, you are granted supreme network control. This is especially dreamy when having device-dependent friends and family over. Restrict user access without tanking your own. Astrea Juice makes it easy to set Internet usage limits and block content on specific devices. Automatically shut down suspicious activity from malware, ransomware, phishing attempts and crypto-mining. Easily monitor network threats and quarantine compromised devices. Turn your smart devices into motion sensors to track expected and unexpected activity throughout your home.
"Astraea: A Decentralized Blockchain Oracle."
Skip to search form Skip to main content Skip to account menu You are currently offline. Some features of the site may not work correctly. DOI: This paper also presents a formal analysis of the parameters behind the system to measure the probability of an adversary with bounded funds being able to… Expand.
Fintech & Digital Currency Regulation
Published on Authors of this article:. Background: In recent years, researchers have made significant efforts in advancing blockchain technology. This technology, with distinct features of decentralization and security, can be applied to many fields. In areas of health data and resource sharing, applications of blockchain technology are also emerging. Objective: In this study, we propose a cloud health resource-sharing model based on consensus-oriented blockchain technology and have developed a simulation study on breast tumor diagnosis.
Howmet upoint login
Mondaq uses cookies on this website. By using our website you agree to our use of cookies as set out in our Privacy Policy. White to discuss the unique legal and regulatory challenges posed by cryptocurrencies. The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.
A Distributed Oracle Using Intel SGX for Blockchain-Based IoT Applications
Her voice is charming and suggestive of anime characters. He was a native of Iran. You could go explore to yourself and have your own thoughts about them.
Astraea: A Decentralized Blockchain Oracle
RELATED VIDEO: STARKNET - ЭТОТ ПРОЕКТ ТЫ НЕ ЗАХОЧЕШЬ ПРОПУСТИТЬ! #starkware #starknet #ethereum #layer2 #блокчейнSkip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Astraea: A Decentralized Blockchain Oracle Abstract: The public blockchain was originally conceived to process monetary transactions in a peer-to-peer network while preventing double-spending.
Cryptocurrencies in Financial Crime: Investigative and Enforcement Challenges
I've open sourced the stl files so you can print things yourself for non commercial use. Get an immediate estimate on exactly how much you can save on your cloud compute bills using Lightwing. Different types of weapons like rockets, triple bullets, etc. Learn to code and make your own app or game in minutes. The rising consumerism and a quick paced way of life have led to a greater demand for packed and processed meals.
The public blockchain was originally conceived to process monetary transactions in a peer-to-peer network while preventing double-spending. It has since been extended to numerous other applications including execution of programs that exist on the blockchain called smart contracts. Smart contracts have a major limitation, namely they only operate on data that is on the blockchain. Trusted entities called oracles attest to external data in order to bring it onto the blockchain but they do so without the robust security guarantees that blockchains generally provide.
There is something in this. I used to think differently, thanks for the explanation.
In my opinion this is a very interesting topic. I invite everyone to take an active part in the discussion.