Data Storage Scheme Research Articles

A Blockchain-Enabled Scalable Network Log Management System

Log data is an essential tool to identify the footprint of unauthorized activities executed in a network system. Hence, a compact storage mechanism is required for the massive volume of log data to protect them from malicious tampering attacks. In this regard, Blockchain (BC) has been used to design tamper-proof storage of log records. However, the existing BC-based solutions cannot efficiently handle continuously growing massive log data, creating tremendous storage overhead on the participating BC nodes. Although some works address the storage scalability issue through separate off-chain storage, these works cannot support log data confidentiality and essential query mechanisms to manage log data are missing. Moreover, due to inadequate analysis of the real-time implementation, the performance gain obtained by these schemes is not clearly understood. To handle these deficiencies, we propose a BC-based network log data storage and management scheme that uses an InterPlanetary File System (IPFS) to outsource most of the log data to external off-chain storage. In addition, the proposed scheme performs query and audit operations to manage plaintext and encrypted log records efficiently. Besides, we present a theoretical analysis to show our scheme’s scalability in storage gain. Extensive experiments on the prototype implementation of the proposed system show that storage gain increases exponentially with increasing log records per transaction. Moreover, our scheme attains nearly 93% storage reduction in supporting per day storage demand of log records. The experimental results also demonstrate that the proposed system can be realized with a low computational overhead.

An Improved ID-Based Data Storage Scheme for Fog-Enabled IoT Environments.

In a fog-enabled IoT environment, a fog node is regarded as the proxy between end users and cloud servers to reduce the latency of data transmission, so as to fulfill the requirement of more real-time applications. A data storage scheme utilizing fog computing architecture allows a user to share cloud data with other users via the assistance of fog nodes. In particular, a fog node obtaining a re-encryption key of the data owner is able to convert a cloud ciphertext into the one which is decryptable by another designated user. In such a scheme, a proxy should not learn any information about the plaintext during the transmission and re-encryption processes. In 2020, an ID-based data storage scheme utilizing anonymous key generation in fog computing was proposed by some researchers. Although their protocol is provably secure in a proof model of random oracles, we will point out that there are some security flaws inherited in their protocol. On the basis of their work, we further present an improved variant, which not only eliminates their security weaknesses, but also preserves the functionalities of anonymous key generation and user revocation mechanism. Additionally, under the Decisional Bilinear Diffie–Hellman (DBDH) assumption, we demonstrate that our enhanced construction is also provably secure in the security notion of IND-PrID-CPA.

Secure cloud‐based data storage scheme using postquantum integer lattices‐based signcryption for IoT applications

AbstractThe primary objective of postquantum cryptography (also known as quantum‐resistant cryptography) is to develop the cryptographic systems that need to be robust against both quantum and classical computers, and can also interoperate with the existing communications protocols and networks. In an Internet of Things (IoT) environment, the communicated messages contain sensitive information that are transmitted over an open channel, where message integrity and data privacy become challenging tasks. Although several traditional cryptographic security protocols can be applied for IoT security and data privacy, such as authentication, access control, key agreement, and digital signature, but they are not resilient against quantum attacks. To overcome these issues, in this article, we first present an advanced and efficient construction of postquantum lattice‐based signcryption scheme, and then apply the constructed lattice‐based signcryption in IoT applications, where data sensed by the deployed IoT smart devices is securely stored at the cloud, via the gateway nodes (aggregators). The data stored at the cloud servers cannot be even modified by them due to the involved signatures generated by the aggregators. The formal security analysis shows the robustness of our designed lattice‐based signcryption scheme. Other detailed information security analysis and a performance analysis with the traditional number‐theoretical based public key cryptosystems show the efficacy, and significantly better security and functionality features of the proposed scheme under the lattice‐based postquantum context.

Research on Pattern Extraction Method of Underwater Acoustic Signal Based on Linear Array

Underwater acoustic signal is an important reference data for marine information research. The research and application of underwater acoustic signal have been widely concerned and valued by countries and enterprises. With the needs of modern military development and the development of marine industry, the research and application of underwater acoustic signal will develop faster and faster. In order to better understand marine information, it is necessary to collect seawater acoustic signal data. Aiming at the purpose of recording underwater acoustic signals placed in the ocean for a long time, this study innovates the calibration and recording of large dynamic range of long-time underwater acoustic signals, improves the circuit setting methods such as receiving, amplification, and sampling, designs a large dynamic series of long-time underwater acoustic signal recording device, and adopts the linear array extraction method, so that it can monitor the underwater acoustic biological sound under the condition of low power. It can also monitor the blasting sound of offshore engineering. Hardware circuit design mainly includes main control chip selection, amplification circuit design, filter circuit design, analog-to-digital conversion circuit design, storage circuit design, and some auxiliary circuit design. The fourth chapter introduces the software development process of large dynamic range underwater acoustic signal recorder and mainly introduces the system development tool, system clock working method, real-time clock module working method, underwater acoustic signal acquisition method, data storage scheme design, and the use of FatFs file system. The underwater acoustic signal data is stored on a MicroSD in the form of TXT file; linear array extraction method is used for feature extraction. Compared to other methods, the transformer will suppress DC and low-frequency interference signals, thus achieving high-pass filtering characteristics. Finally, the performance and experimental results of the whole underwater acoustic signal recording device are analyzed. After testing, the underwater acoustic signal recording device designed in this paper works stably and can record underwater acoustic signals with large dynamic range for a long time in low-power mode.

Efficient Auditing Scheme for Secure Data Storage in Fog to Cloud Computing

Efficient Auditing Scheme for Secure Data Storage in Fog to Cloud Computing

Recent Advances in Polymer Additive Engineering for Diagnostic and Therapeutic Hydrogels.

Hydrogels are hydrophilic polymer materials that provide a wide range of physicochemical properties as well as are highly biocompatible. Biomedical researchers are adapting these materials for the ever-increasing range of design options and potential applications in diagnostics and therapeutics. Along with innovative hydrogel polymer backbone developments, designing polymer additives for these backbones has been a major contributor to the field, especially for expanding the functionality spectrum of hydrogels. For the past decade, researchers invented numerous hydrogel functionalities that emerge from the rational incorporation of additives such as nucleic acids, proteins, cells, and inorganic nanomaterials. Cases of successful commercialization of such functional hydrogels are being reported, thus driving more translational research with hydrogels. Among the many hydrogels, here we reviewed recently reported functional hydrogels incorporated with polymer additives. We focused on those that have potential in translational medicine applications which range from diagnostic sensors as well as assay and drug screening to therapeutic actuators as well as drug delivery and implant. We discussed the growing trend of facile point-of-care diagnostics and integrated smart platforms. Additionally, special emphasis was given to emerging bioinformatics functionalities stemming from the information technology field, such as DNA data storage and anti-counterfeiting strategies. We anticipate that these translational purpose-driven polymer additive research studies will continue to advance the field of functional hydrogel engineering.

ZT-BDS: A Secure Blockchain-based Zero-trust Data Storage Scheme in 6G Edge IoT

<p>With the rapid development of 6G communication technology, data security of the Internet of Things (IoT) has become a key challenge. This paper first analyzes the security issues and risks of IoT data storage in 6G, and then constructs a blockchain-based zero-trust data storage scheme (ZT-BDS) in 6G edge IoT to ensure data security. Under this framework, an improved scratch-off puzzle based on Proof of Recoverability (PoR) is firstly constructed to realize distributed IoT data storage, which can reduce resource consumption compared with other existing schemes. Secondly, the accumulator is used to replace the Merkle trees to store IoT data in the blockchain. Since the accumulator can provide not only membership proof, but also non-membership proof, the proposed blockchain-based data storage scheme is more secure. Thirdly, PoW is replaced by an improved PoR scheme as the consensus protocol. On the one hand, PoR can verify the integrity of data, which will further enhance the security of IoT data; on the other hand, the proposed PoR is composed of polynomial commitment, which can reduce bandwidth with the aid of the aggregation function of polynomial commitment. Experimental comparisons show that our scheme has better bandwidth and storage capacity.</p> <p> </p>

HBase-based spatial-temporal index model for trajectory data

The development of global positioning technology and the popularization of smart mobile terminals has led to a trend of rapid growth in the data volume and coverage of trajectory data. This type of data has the characteristics of fast update speed, high dimensional characteristics, and a large amount of information that can be mined. Many technology companies will use trajectory data to provide location-based services, such as vehicle scheduling and road condition estimation. However, the storage and query efficiency of massive trajectory data have increasingly become bottlenecks in these applications, especially for large-scale spatiotemporal query scenarios. This paper solves this problem by designing a trajectory data index model based on GeoSOT-ST spatiotemporal coding. Based on this model, the HBase-based trajectory data storage scheme and spatiotemporal range query technology are studied, and MapReduce is used as the calculation engine to complete the query attribute condition filtering in parallel. Comparative experiments prove that the index model proposed in this paper can achieve efficient trajectory data query management.

Permissioned Blockchain-based Trustworthy Edge Storage Scheme for Smart Grid

Background: With the development of technologies such as the Internet of Things (IoT) and cloud/edge computing, a large number of edge devices in the smart grid accomplish information interconnection and generate massive amounts of data. On the one hand, smart grids need to obtain a large amount of grid data from edge terminal devices. On the other hand, edge computing also brings some security threats. Therefore, edge data security faces major challenges. Objective: In order to ensure the security of data in the edge computing environment of the smart grid, we propose an edge data storage scheme (BlockSE) for the smart grid edge computing environment. Method: BlockSE combines permissioned blockchain and smart contract technology to achieve secure storage of data on edge. We adapted ring signature technology to achieve privacy preserving of participating nodes. To allocate the storage resources of edge servers fairly and transparently, we designed a storage resource allocation algorithm based on the smart contract, whereby edge devices can obtain storage resources fairly according to demand. Results: Simulation experiments were performed; the results show the effectiveness of the proposed BlockSE scheme. Conclusion: This paper focused on data security in the smart grid's edge computing environment and proposed a secure storage scheme for edge data based on permissioned blockchain. The evaluation shows the safety, effectiveness, and practicability of the proposed BlockSE scheme.

Blockchain-based Power Digital Asset Security Management Framework

Due to the hierarchical management structure of electric power enterprises, data flow often needs to go through multiple layers of nodes for review, which makes data synchronization slow and distortion high and data reliability difficult to improve. The existing data asset management mode of electric power enterprises faces security problems such as node trustworthiness and data tampering in the process of identity mutual trust, transmission and storage, data collection and data usage. In view of this, this paper proposes a blockchain-based digital asset management framework using the decentralized, untrustworthy, and hard-to-tamper features of blockchain. In the proposed framework, we optimized security authentication mechanism, data recording and consensus process, and data storage and transmission strategy involved in blockchain data sharing applications. The framework can effectively ensure the security, integrity, operability and consistency of digital assets in the management process under the blockchain environment.

A Datum Schemes Based on TOC Monitoring System

Abstract Using the giant parallelism of photons to develop a new type of computer with more processor bits and data, the ternary optical computer, with the birth of the ternary optical computer SD 16 physical machine, the team built a monitoring system structure for task management, It is mainly used to deal with various complex data problems and provide parallel services for computing requests of multiple users. The storage of data in the monitoring system has also become a crucial issue. Based on the existing achievements of the team, this paper designs a data storage scheme for the management software of the ternary optical computer monitoring system, and finally summarizes and looks forward to the next research direction of the ternary optical computer data storage.

LBlockchainE: A Lightweight Blockchain for Edge IoT-Enabled Maritime Transportation Systems

Blockchain can help edge IoT-enabled Maritime Transportation Systems (MTS) in solving its privacy and security problems. In this paper, a lightweight blockchain called LBlockchainE is designed for edge IoT-enabled MTS to guarantee the security of sensor data stored in an edge computing environment. To save the resources of edge servers on ship, a data placement strategy is proposed. To encourage edge servers to positively contribute to storing data generated by sensor devices, storage resource consumption is employed as an influencing parameter, and servers with abundant resources are selected for priority storage. The data placement strategy also takes care of the access delay between servers and selects the nodes with the least access and storage costs as the priority storage choice. LBlockchainE applies the low-energy-consumption characteristics of Proof of Stake to determine the ownership of bookkeeping rights through a small number of competitive calculations and the resources of the node. Experimental results indicate that compared with Ethereum, the consensus mechanism of LBlockchainE consumes less energy and occupies less storage space. On average, the new system uses 1.6% less time and consumes 78% less battery power compared with traditional blockchain systems. In comparison to the random storage, the best storage, and the optimal data storage strategies, the proposed strategy maintains the same message costs.

A Distributed Data Storage Strategy Based on LOPs

A Distributed Data Storage Strategy Based on LOPs

A Blockchain-Based CP-ABE Scheme with Partially Hidden Access Structures

Data sharing has become a key technology to break down data silos in the big data era. Ciphertext-policy attribute-based encryption (CP-ABE) is widely used in secure data-sharing schemes to realize flexible and fine-grained access control. However, in traditional CP-ABE schemes, the access structure is directly shared along with the ciphertext, potentially leading to users’ private information leakage. Outsourcing data to a centralized third party can easily result in privacy leakage and single-point bottlenecks, and the lack of transparency in data storage and sharing casts doubts whether users’ data are safe. To address these issues, we propose a blockchain-based CP-ABE scheme with partially hidden access structures (BCP-ABE-PHAS) to achieve fine-grained access control while ensuring user privacy. First, we propose an efficient CP-ABE scheme with partially hidden access structures, where the ciphertext size is constant. To assist data decryption, we design a garbled Bloom filter to help users quickly locate the position of wildcards in the access structure. Then, to improve storage efficiency and system scalability, we propose a data storage scheme that combines blockchain technology and the interplanetary file system, ensuring data integrity. Finally, we employ smart contracts for a transparent data storage and sharing process without third-party participation. Security analysis and performance evaluation show that the proposed BCP-ABE-PHAS scheme can preserve policy privacy with efficient storage and low computational overhead.

Research on Information Security Technology of Intelligent Home Remote Control Terminal

The development of remote-control technology of smart home promotes the rapid development of remote-control information. The use of remote-control information is closely related to the transmission efficiency and application of information data. At the same time, the research of remote-control technology of smart home is also the basis of realizing information sharing. To this end, this paper is the development of remote-control information in the new period and the challenge for the smart home remote control technology is expounded, and then on the basis of in-depth study in the new period in remote control information large data storage and management of application analysis, and put forward for the remote-control information data storage strategy, hoping to bring positive influence.

Accelerated formation of persistent holographic gratings based on one-directional electron transfer in KCl-Ag/Ta2O5 nanocomposites

Permanent preservation of data is essential for massive information recording. Combination of semiconductor with plasmonic nanoparticles has been applied in multicolor display and high-density optical storage. However, bidirectional electron transfer occurs at the Schottky interface under UVA irradiation, resulting in reversible photochemical reaction, information erasure, low recording efficiency and writing rate. To address these issues, a novel Schottky heterostructure of Ag/Ta2O5 modified with alkali halide is developed to realize photoinduced one-directional electron transfer from metal to semiconductor. The recorded information in such a medium of KCl-Ag/Ta2O5 presents excellent holographic storage stability even under exposure of a strong UVA ray (360 nm, 385 mW/cm2). Meanwhile, grating growth rate and efficiency are significantly enhanced by optimizing Ag particle distance and Cl− anion loading amount. This work provides an important strategy for fast and persistent data storage.

Protection Aware User Identity and Data Storage (PAUIDS) Scheme for Management of User Identification in Cloud

Cloud computing the technology which have the capability of modifying the method computing strongly, and storage resources will be accessed shortly. User Identification is an entity to detect the user who using the system or website. In information technology the protection of information consistently become a major issue to handle. The data might place in various locations in the world since it become particularly serious. The two main factors regarding cloud technology are information protection and security. The cloud operators can easily reach the sensitive information that affects the data security and protection measures. Therefore, this research protocol mainly focuses on secure data storage that always been a significant feature of quality of service. To guarantee the ‘rightness of users’ information in cloud storage system a Protection Aware User Identity and Data Storage (PAUIDS) algorithm is proposed that separates the document and independently stores the user information in the cloud storage servers. The proposed algorithm reduces the encryption and decryption time in a cloud storage system and providing secure and efficient data storage in cloud environments.

Financial Data Security Management Method and Edge Computing Platform Based on Intelligent Edge Computing and Big Data

This paper mainly studies the financial data management method and edge computing platform based on intelligent edge computing and big computing. This paper first introduces the theoretical basis of edge computing and big data computing, analyzes the collaborative mode of edge computing model and cloud computing, and discusses the cloud data storage scheme. In this paper, edge computing platform is built, and EC Master and Docker private image warehouse are mainly deployed in the data center. In this paper, the edge computing platform constructed was tested. In the mobile edge computing business processing time test, when there was a big gap in computing amount between business 1 and business 2, the total service time of MEC instances was around 0.3 s, showing a good user experience. In the edge acceleration effect test, before and after the adoption of CDN edge acceleration, from the perspective of the overall web page, the average time consumed to open a web page decreased from 1615 ms to 403 ms. From requesting a single HTTP access request, the average time decreased from 520 ms to 74 ms. The financial data management edge computing platform designed in this paper can effectively manage financial data and make an effective contribution to enterprise data management.

Design and implementation strategy of data migration system based on Hadoop platform

This paper analyzes the Hadoop technical system related content, and combines the design points of the data migration system, including interface migration design, data synchronization design, data transmission process design, data consistency verification design, data storage scheme design. Through the research of data cleaning function, data conversion function, data loading function, data return function, unstructured data migration and other implementation strategies, the purpose is to improve the application value of data migration system, improve the application value of the collected data.

YINGSHAO: A FLEXIBLE DATA COLLECTION AND MANAGEMENT PLATFORM FOR CHINA’S HERITAGE SITES

Abstract. The advancement of geoinformatics technologies promotes national-level attention to heritage inventories and digital platforms. The management of heritage sites requires a more efficient and flexible collection methodology to collect GIS data and support extended applications. This paper discusses the system design and application of Yingshao platform, a more flexible and efficient data collection platform for Chinese heritage sites and full lifecycle management. It applis a framework of WebGIS, MobileGIS and WebGL and adopts a data storage scheme of MySQL and MangoDB. Based on the advanced system architecture, the platform has formed better solutions: (1) establishing a standard and cooperative workflow; (2) integrating diverse data sources; (3) building a flexible geospatial database with a time dimension; (4) ensuring data security and safety. In the applications in China's heritage sites, it significantly improves the efficiency and flexibility during collection. Meanwhile, the collected data could well support management scenarios. We believe that the platform could become an effective and flexible data collection and management tool for China's heritage sites, and it has the potential to become the foundation for full lifecycle management.