Academic literature on the topic 'Quantum Distributed Storage'

AbstractKey management describes how cryptographic keys are created, securely stored, distributed to the respective key holders, and used in accordance with protocol specifications. It is thus a cornerstone of most cryptographic systems and must be handled with care. Advances in hardware security modules used in key storage and high-end and low-cost random number generator used in key generation show a promising future for secure and affordable key management. However, future challenges, such as quantum resilience, have to be overcome by new key management systems. For the military, existing experience in handling cryptographic keys could help develop a key management system, and the reputation of Switzerland could help promote key management systems developed in Switzerland.

AbstractSISTRO, a truck scheduling and management system, was developed to optimize stock fulfillment following the government regulation (Peraturan Menteri Perdagangan/Permendag) and the distribution process of subsidized fertilizer from Gresik Warehouse of PT Petrokimia Gresik (PG) to Buffer Warehouse located in almost every province in Java Island. The volume that must be distributed is around 5.4 million tons of fertilizer/year. During the implementation, a critical problem is the lack of integration and single information about the supply chain and truck loading process. The information includes (1) truck arrival delay, (2) the difference between planning and reality, and (3) the availability of workers. These three pieces of information are out of sync, so they have direct and indirect impacts. The direct impact is the potential for unscheduled open storage (OPS) in Gresik warehouse. At the same time, the indirect impact is the high logistics costs in the form of land transportation cost increases every year and the potential to lose the opportunity/moment to sell goods due to delays in fertilizer distribution. Therefore, a solution is needed by creating an integrated system to accommodate related parties in truck schedule arrivals, stock availability, and labor availability in the loading line warehouse, hereinafter referred to as SISTRO. The SISTRO’s scope of work starts from the distribution of quota allocations for heavy loading that has been adjusted to stock conditions and loading capacity in each warehouse so that the truck vendors can book the loading plan according to the schedule they want, based on the POSTO that has been uploaded on the SISTRO application and partners will get a booking code. The booking code will later be printed as a security pass. The security pass will later be scanned at all SISTRO checkpoints, which is proven can reduce the number of late arrivals for trucks to load appropriately from an average of 1.361 events/month to just 553 events/month. This project impacts several sectors, including reducing the risk of losing chances to sell goods that previously averaged 24,034 tons/month equivalent to Rp. 110 billion/month, a decrease in the OPS quantity (which is currently happening due to oversupply that does not match with quantum distribution). There has been no increase in inland transportation costs for 3 years and monitoring all license numbers and transportation partners so that there is no combined number of registration numbers. In fact, SISTRO can be used by all logistics companies.

Cloud computing is a phenomenal distributed computing paradigm that provides flexible, low-cost on-demand data management to businesses. However, this so-called outsourcing of computing resources causes business data security and privacy concerns. Although various methods have been proposed to deal with these concerns, none of these relates to multi-clouds. This paper presents a practical data management model in a public and private multi-cloud environment. The proposed model BFT-MCDB incorporates Shamir's Secret Sharing approach and Quantum Byzantine Agreement protocol to improve trustworthiness and security of business data storage, without compromising performance. The performance evaluation is carried out using a cloud computing simulator called CloudSim. The experimental results show significantly better performance in terms of data storage and data retrieval compared to other common cloud cryptographic based models. The performance evaluation based on CloudSim experiments demonstrates the feasibility of the proposed multi-cloud data management model.

The rapid growth of digitization in the present era leads to an exponential increase of information which demands the need of a Big Data paradigm. Big Data denotes complex, unstructured, massive, heterogeneous type data. The Big Data is essential to the success in many applications; however, it has a major setback regarding security and privacy issues. These issues arise because the Big Data is scattered over a distributed system by various users. The security of Big Data relates to all the solutions and measures to prevent the data from threats and malicious activities. Privacy prevails when it comes to processing personal data, while security means protecting information assets from unauthorized access. The existence of cloud computing and cloud data storage have been predecessor and conciliator of emergence of Big Data computing. This article highlights open issues related to traditional techniques of Big Data privacy and security. Moreover, it also illustrates a comprehensive overview of possible security techniques and future directions addressing Big Data privacy and security issues.

The tremendous shift in technology has led to many unconnected things getting interconnected via IoT. IoT is one of the major modes of collecting data from various networked resources and other connected devices. The broad range of IoT, with its huge heterogeneity in handling data, addresses many challenges in the realm of healthcare. Blockchain technology has elevated the use of distributed storage in a positive way. The recent emergence of this technology has paved way for potentially enormous utilization in various fields. Blockchain technology in the fields of IT, finance, industries, government, healthcare, media, and law enforcement has altered the service quality levels to an ethical ideal. Blockchain, in conjunction with IoT, facilitates decentralized collection and storage of data. Integrating blockchain with IoT has emerged as a cutting-edge tool for the decentralized sharing of medical records, monitoring of patients, ensuring the privacy of patient records, predicting the quantum of insurance, and managing supply chains.

A blockchain is a technology that allows the storage and transmission of information without a control body. Technically, it is a distributed database in which the information sent by users is verified and grouped into blocks, thus forming a chain. Thanks to the secure encryption of the data and the fact that new transactions are linked to the previous ones, it is almost impossible to modify the old records without modifying the following ones. On the other hand, the control of the blockchain by more than half of the nodes in the network (by consensus) makes it impossible to falsify the data in the blockchain. However, this public/private, anonymous, and unforgeable ledger that is the blockchain contains a set of information (metrics, logs, etc.) that can provide clues for an efficient monitoring and allow the reinforcement of the security of the blockchain that could be discussed in the future with the advent of quantum machines.