Resilient Storage Research Articles

Dynamic modeling and simulation of a hydrogen power station for continuous energy generation and resilient storage

Dynamic modeling and simulation of a hydrogen power station for continuous energy generation and resilient storage

Blockchain‐IoT: A revolutionary model for secure data storage and fine‐grained access control in internet of things

AbstractWith the rapid expansion of the Internet of Things (IoT), cloud storage has emerged as one of the cornerstones of data management, facilitating ubiquitous access and seamless sharing of information. However, with the involvement of a third party, traditional cloud‐based storage systems are plagued by security and availability concerns, stemming from centralized control and management architectures. A novel blockchain‐IoT model that leverages blockchain technology and decentralized storage mechanisms to address these challenges is presented. The model combines the Ethereum blockchain, interplanetary file system, and attribute‐based encryption to ensure secure and resilient storage and sharing of IoT data. Through an in‐depth exploration of the system architecture and underlying mechanisms, it is demonstrated how the framework decouples storage functionality from resource‐constrained IoT devices, mitigating security risks associated with on‐device storage. In addition, data owners and users can easily exchange data with one another through the use of Ethereum smart contracts, fostering a collaborative environment and providing incentives for data sharing. Moreover, an incentive mechanism powered by the FileCoin cryptocurrency is introduced, which motivates and ensures data sharing transparency and integrity between stakeholders. Furthermore, in the proposed blockchain‐IoT model, the proof‐of‐authority system consensus algorithm has been replaced by a delegated proof‐of‐capacity system, which reduces transaction costs and energy consumption. Using the Rinkby Ethereum official testing network, the proposed model has been demonstrated to be feasible and economical, emphasizing its potential to redefine IoT data management.

A Two-Phase Blockchain-Enabled Framework for Securing Internet of Medical Things Systems

The healthcare industry has witnessed a transformative impact due to recent advancements in sensing technology, coupled with the Internet of Medical Things (IoMTs)-based healthcare systems. Remote monitoring and informed decision-making have become possible by leveraging an integrated platform for efficient data analysis and processing, thereby optimizing data management in healthcare. However, this data is collected, processed, and transmitted across an interconnected network of devices, which introduces notable security risks and escalates the potential for vulnerabilities throughout the entire data processing pipeline. Traditional security approaches rely on computational complexity and face challenges in adequately securing sensitive healthcare data against evolving threats, thus necessitating robust solutions that ensure trust, enhance security, and maintain data confidentiality and integrity. To address these challenges, this paper introduces a two-phase framework that integrates blockchain technology with IoMT to enhance trust computation, resulting in a secure cluster that supports the quality-of-service (QoS) for sensitive data. The first phase utilizes the decentralized interplanetary file system and hashing functions to create a smart contract for device registration, establishing a resilient storage platform that encrypts data, improves fault tolerance, and facilitates data access. In the second phase, communication overhead is optimized by considering power levels, communication ranges, and computing capabilities alongside the smart contract. The smart contract evaluates the trust index and QoS of each node to facilitate device clustering based on processing capabilities. We implemented the proposed framework using OMNeT++ simulator and C++ programming language and evaluated against the cutting-edge IoMT security approaches in terms of attack detection, energy consumption, packet delivery ratio, throughput, and latency. The qualitative results demonstrated that the proposed framework enhanced attack detection by 6.00%, 18.00%, 20.00%, and 27.00%, reduced energy consumption by 6.91%, 8.19%, 12.07%, and 17.94%, improved packet delivery ratio by 3.00%, 6.00%, 9.00%, and 10.00%, increased throughput by 7.00%, 8.00%, 11.00%, and 13.00%, and decreased latency by 4.90%, 8.81%, 11.54%, and 20.63%, against state-of-the-art methods and was supported by statistical analysis.

Continuously non-malleable codes from block ciphers in split-state model

Non-malleable code is an encoding scheme that is useful in situations where traditional error correction or detection is impossible to achieve. It ensures with high probability that decoded message is either completely unrelated or the original one, when tampering has no effect. Usually, standard version of non-malleable codes provide security against one time tampering attack. Block ciphers are successfully employed in the construction of non-malleable codes. Such construction fails to provide security when an adversary tampers the codeword more than once. Continuously non-malleable codes further allow an attacker to tamper the message for polynomial number of times. In this work, we propose continuous version of non-malleable codes from block ciphers in split-state model. Our construction provides security against polynomial number of tampering attacks and it preserves non-malleability. When the tampering experiment triggers self-destruct, the security of continuously non-malleable code reduces to security of the underlying leakage resilient storage.

Integration of Climate Smart Agro-Technologies and Efficient Post- Harvest Operations in Changing Weather Conditions in Nigeria

The purpose of this study was to examine the integration of climate-smart agro-technologies and efficient post-harvest operations in changing weather conditions in Nigeria. Agriculture, which is the mainstay of most rural families in Nigeria, has faced several problems in recent times as a result of variety of factors such as post-harvest losses, climate change fluctuations, and high poverty level resulting in poor agricultural outputs and low income. Empirical studies have indicated that food production and income growth of farming households would be worse-off, if climate change is not properly mitigated. The combination of climate-smart agro-technologies and effective post-harvest management operations in this era of unfavorable climatic condition and post-harvest losses has become imperative. Climate smart agriculture consists of a three-win approach; for long-term food supply and security. It also comprises of three important goals such as mitigation, adaptation, and increased production. Agro-climate smart technologies includes solar energy techniques for drying agricultural product, green house technology for cultivation, climate resilient storage structures for storing harvested grains, and climate smart waste usage for agricultural waste management. Efficient post-harvest management operations such as proper harvesting, sun-drying, threshing, processing, packaging, and transportations were also explored. This study advocated the adoption of climate smart agro- technologies and efficient post-harvest management operations as an alternative measures for increased food production and farm income in the face of changing weather and climatic conditions. How to Cite: Anosike F. C., Obasi I. O., Nwachukwu E. U., Obi J. N., Orji J. E., Inyang P., Chinaka I. C., Osang E. A., Iroegbu C. S., Nzeakor F. C., Onu S. E., 2023. "Integration of Climate Smart Agro-Technologies and Efficient Post- Harvest Operations in Changing Weather Conditions in Nigeria." Journal of Agriculture and Crops, vol. 9, pp. 281-292.

Understanding Growth Kinetics and Electrochemical Reaction Mechanism of Sodium Transition Metal Fluorosulfates As High Voltage Cathodes

The intermittent nature of renewable sources demands the utilization of resilient storage systems, which can smoothen their energy production and distribution to consumer utilities. Among the storge systems, rechargeable batteries offer easy maintenance, low cost, high round trip efficiency and durability. At present, sodium-ion batteries (SIBs) have garnered widespread interest for grid storage application due to inexpensive and earth abundant raw materials. Their practical realization is nested in successful exploration of suitable electrode and electrolyte materials. So far, various Na-ion cathodes have been discovered including layered oxides, polyanionic compounds and Prussian blue frameworks, whose energy densities are slightly inferiro to their Li-ion counterparts. Polyanionic frameworks consists of tetrahedral anions (XO4)n– (X= S, P) and MeOx (Me= 3d transition metal) polyhedral. In sulfate based polyanionic systems, the presence of SO4 2– anions will ensure rapid and better pathway for alkali conduction along with structural stability to metal redox. The inclusion of fluoride anion into the sulphate frameworks increases their operating voltages through inductive effect.2 It can also enhance cationic mobility by reducing electrostatic interactions along conduction channels, thereby, lead to increase in cell capacity.3 Recently, metal fluorosulfates such as NaMSO4F, Na3MF2(SO4)2 (M=3d transition metals) have been reported as promising high voltage cathode materials for sodium-ion batteries.In this work, we have explored a new family of Na2MF3SO4 (M= V, Cr, and Mn) fluorosulfates as potential Na-ion cathode materials. They were synthesized through hydrothermal route at ~200 °C. These compounds are isostructural with the reported Na2FeF3(SO4)2 as depicted in X-ray diffraction refinement (Figure 1a).4 The Na2VF3(SO4)2 crystallizes as light green needle like particles (Figure 1b and inset of Figure 1a), as single phase. The framework consists of chains of trans-VO2F4 octahedra linked to each other via vertex sharing of F atoms and bridged by SO4 tetrahedron as adjacent pairs (Figure 1c). Furthermore, its growth mechanism is studied with microscopy techniques to comprehend its formation kinetics and evolution of morphology with respect to time. Upon first desodiation, the Na2VF3SO4 structure showed a plateau at ~4.5 V Na+ (de)insertion where it exceeds the capacity beyond ~100 mAh g–1. Its subsequent sodiation profile showed two-step flat voltage with voltage at 4.0 and 3.2 V. Detailed reaction kinetics, electrochemical performances and sodium (de)intercalation mechanism will be presented.

Towards High Energy Density Nasicon Cathodes for Sodium-Ion Batteries: The Interplay between Structure, Na-Ion Dynamics and Redox Centres

The successful realization of sustainable energy technologies is nested into the incorporation of resilient storage technologies in grid due to their intermittent nature of energy production. Among these technologies, rechargeable batteries are ubiquitous due to their low cost, easy maintenance, high round trip efficiency and durability. Recently, Na-ion batteries have garnered significant interest for their potential grid application due to inexpensive and earth abundant raw materials. However, their successful commercialization faces several hurdles at both material and cell levels. In particular, the development of high voltage and capacity Na-ion cathodes is one of the key challenges for the successful realization of high energy density sodium ion batteries.1 Whilst layered Na-ion transition metal oxides are the frontrunners for practical application, their poor air stability and cycling stability are still required to be addressed.2 On other hand, phosphate cathodes offer high structural stability and insertion voltages as well rich structural diversity.3 Among them, NASICON-Na3V2(PO4)3 cathode is attractive because of its high intercalation voltage (3.45 V vs. Na+/Na0), moderate capacity (~120 mAh g-1) and excellent rate capability.4 The sodium (de)intercalation process in the NVP cathode proceeds via a two-phase mechanism and the corresponding redox activity is ascribed to the operation of V4+/V3+ couple. Further, other cations are substituted in the place of vanadium of the NVP lattice to seek the participation multiple redox centers, thereby enhancing intercalation capacities. Particularly, the NASICON end member Na4VMn(PO4)3 has garnered significant attention due to its reduced cost, improved insertion voltage and the participation of V5+/V4+, V4+/V3+ and Mn3+/Mn2+ redox couples.5,6 Herein, we will present a comprehensive study on the structural and electrochemical properties of Na3+xV2-xMnx(PO4)3 series. We will show how it is important to modulate electronic and crystal structures of the NASICON framework to attain high capacity and high-rate performances.7 Further, we will also discuss about the impact of alio-/iso-valent cationic substitutions into the NVP framework, which enhances their rate performances and cycle life.8 References Yabuuchi, K. Kubota, M. Dahbi and S. Komaba, Chem. Rev. 2014, 114, 11636.F. Wang, Y. You, Y. X. Yin, Y. G. Guo, Adv. Energy Mater. 2017, 8, 1701912.Masquelier, L. Croguennec, Chem. Rev. 2013, 113, 6552.Chen, C. Wu, L. Shen, C. Zhu, Y. Huang, K. Xi, J. Maier, Y. Yu, Adv. Mater. 2017, 29, 1700431.Zhou, L. Xue, X. Lü, H. Gao, Y. Li, S. Xin, G. Fu, Z. Cui, Y. Zhu, J. B. Goodenough, Nano Lett. 2016, 16, 7836.Chen, V. M. Kovrugin, R. David, O. Mentré, F. Fauth, J. Chotard, C. Masquelier, Small Methods 2019, 3, 1800218.Ghosh N. Barman, M. Mazumder, S. K. Pati, G. Rousse, P. Senguttuvan, Adv. Energy Mater. 2020, 10, 1902918.Ghosh, N. Barman, P. Senguttuvan, Small 2020, 16, 2003973.

Resilient Storage: Enabling Heritage Institutions to Effectively Manage High-performance Storage Areas

Heritage institutions find themselves increasingly compelled to lower costs related to energy use, without disowning their primary task of optimally preserving the collections they are entrusted with. Now, more than ever, resilience, autonomy and cost-effectiveness are key to managing heritage sustainably. With over 1,000 museums in Belgium, the energy savings that its institutions may obtain by optimising their indoor climate management represents an important opportunity to alleviate strain on institutional budgets, and to help reach the ambitious energy-saving goals Belgium and the EU have set for themselves. Heritage institutions must be proactive in implementing such strategies, choosing from among a long list of measures to optimise their climate systems and indoor environments. This can be an overwhelming task. Indeed, museums and heritage institutions often lack in-house expertise to tackle these issues, which is why clear, practical and intuitive protocols, tools and concrete examples are required. As a case study and presentation of research-in-progress, this article describes Resilient Storage, a Belgian project that aims to validate a protocol to optimise the functioning of climate systems in museum storage areas. Developed by the Royal Institute for Cultural Heritage (KIK-IRPA) and KU Leuven, Resilient Storage assembles an interdisciplinary team of public representatives, museum staff and experts in energy performance and conservation. It aims to help stakeholders optimise storage area management, simultaneously reducing its carbon footprint and optimising its preservation conditions. Resilient Storage aims to unearth synergies among these stakeholders, promote collaboration, develop a common language and transmit expertise to Belgian's small and medium-sized museums.

Building a high-performance resilient scalable storage cluster for CORAL using IBM ESS

A high-performance, scalable, and resilient storage subsystem is essential for delivering and maintaining consistent performance and high utilization expected from a modern supercomputer. IBM delivered two systems under the CORAL program, both of which used IBM Spectrum Scale and IBM Elastic Storage Server (ESS) as the storage solution. The larger of the two CORAL clusters is composed of 77 building blocks of ESS, each of which consists of a pair of high-performance I/O Server nodes connected to four high-density storage enclosures. These ESS building blocks are interconnected via a redundant InfiniBand EDR network to form a storage cluster that provides a global namespace aggregating performance over 32,000 commodity disks. The IBM Spectrum Scale for ESS runs high-performance erasure coding on each building block and provides a single global name space across all the building blocks. The IBM Spectrum Scale features deliver a highly resilient, high-performance storage subsystem using ESS. These features include recent improvements for efficient buffer management and fast efficient low-latency communication. CORAL I/O performance results include large-block streaming throughput of over 2.4 TB/s, ability to create over 1 M 32-KB files per second, and enabling an aggregate rate of 30 K zero-length file creates per second in a shared directory from multiple nodes. This article describes the design and implementation of the ESS storage cluster; the innovations required to meet the performance, scale, manageability, and reliability goals; and challenges we had to overcome as we deployed a system of such unprecedented I/O capabilities.

Review of remote data integrity auditing schemes in cloud computing: taxonomy, analysis, and open issues

Cloud storage provides reliable and resilient storage infrastructure for users to store data remotely based on pay-as-you-go pricing model. Presently, many data owners in academic and business environment are choosing cloud for storing their data in the cloud to save costs. Cloud storage provides many benefits to data owners such as low capital costs, scalability, and access of data from anywhere, anytime, irrespective of location and device. Despite these appealing benefits, storage service brings security challenges such as confidentiality, integrity and availability as outsourced data is not always trustworthy due to loss of physical control and possession over data. One of the primary concerns is the integrity of data stored in the cloud. To address the remote data integrity, many researchers have focused on remote data integrity auditing (RDIA) techniques. In this paper, we give an extensive review of remote data integrity auditing techniques in the cloud computing. In our review, we present a thematic taxonomy of remote data integrity auditing techniques, investigate similarities and differences, and finally discuss critical issues to be addressed for efficient and secure designing of remote auditing protocols for cloud data storage in future research.

Review of remote data integrity auditing schemes in cloud computing: taxonomy, analysis, and open issues

Cloud storage provides reliable and resilient storage infrastructure for users to store data remotely based on pay-as-you-go pricing model. Presently, many data owners in academic and business environment are choosing cloud for storing their data in the cloud to save costs. Cloud storage provides many benefits to data owners such as low capital costs, scalability, and access of data from anywhere, anytime, irrespective of location and device. Despite these appealing benefits, storage service brings security challenges such as confidentiality, integrity and availability as outsourced data is not always trustworthy due to loss of physical control and possession over data. One of the primary concerns is the integrity of data stored in the cloud. To address the remote data integrity, many researchers have focused on remote data integrity auditing (RDIA) techniques. In this paper, we give an extensive review of remote data integrity auditing techniques in the cloud computing. In our review, we present a thematic taxonomy of remote data integrity auditing techniques, investigate similarities and differences, and finally discuss critical issues to be addressed for efficient and secure designing of remote auditing protocols for cloud data storage in future research.

A Fast Access Big Data Approach for Configurable and Scalable Object Storage Enabling Mixed Fault-Tolerance

The progressive growth in the volume of digital data has become a technological challenge of great interest in the field of computer science. That comes because, with the spread of personal computers and networks worldwide, content generation is taking larger proportions and very different formats from what had been usual until then. To analyze and extract relevant knowledge from these masses of complex and large volume data is particularly interesting, but before that, it is necessary to develop techniques to encourage their resilient storage. Very often, storage systems use a replication scheme for preserving the integrity of stored data. This involves generating copies of all information that, if lost by individual hardware failures inherent in any massive storage infrastructure, do not compromise access to what was stored. However, it was realized that accommodate such copies requires a real storage space often much greater than the information would originally occupy. Because of that, there is error correction codes, or erasure codes, which has been used with a mathematical approach considerably more refined than the simple replication, generating a smaller storage overhead than their predecessors techniques. The contribution of this work is a fully decentralized storage strategy that, on average, presents performance improvements of over 80% in access latency for both replicated and encoded data, while minimizing by 55% the overhead for a terabyte-sized dataset when encoded and compared to related works of the literature.

An adaptive hybrid schema for data-centric storage in wireless sensor networks

Storage, query cost, and energy efficiency are among the most important data dissemination issues in wireless sensor networks. Data-centric storage approach can be viewed as energy efficient and low cost solution to these issues, which itself suffers from hotspot storage problem. Some provided solutions tried to handle this mentioned problem and also brought load balancing and scalability to the network. In this article, we present a method called adaptive resilient data-centric storage which reduces the storage cost and also improves the load balancing and fault tolerance in the network by making data-centric storage adaptive based on the frequency of sensed events. Then, we propose a mathematical model to determine the threshold for the frequency of occurrence of sensed events. Finally, we developed a discrete-event-based simulator for two-dimensional graphical view of the network and collected the results. Simulations and analytical results show the superiority of the proposed method over the compared approaches with the miscellaneous frequency of events.

Efficient and secure software-defined mobile cloud computing infrastructure

This paper proposes an efficient software-based data possession mobile cloud computing framework. The proposed design combines the characteristics of two frameworks. The first one is the provable data possession design built for resource constrained mobile devices and it uses the advantage of trusted computing technology, and the second framework is a lightweight resilient storage outsourcing design for mobile cloud computing systems. The proposed solution utilises the strength aspects found in each framework in order to gain better performance and maintain adequate and comparable security. The proposed framework is a software-defined system, encompassing software-defined storage SDStore and software-defined security SDSec. The evaluation and comparison results showed that our proposed system has better flexibility and efficiency than other related frameworks, individually.

Integrated Resiliency Planning in Storage Clouds

Storage clouds use economies of scale to host data for diverse enterprises. However, enterprises differ in the requirements for their data. In this work, we investigate the problem of resiliency or disaster recovery (DR) planning in a storage cloud. The resiliency requirements vary greatly between different enterprises and also between different datasets for the same enterprise. We present in this paper Resilient Storage Cloud Map (RSCMap), a generic cost-minimizing optimization framework for disaster recovery planning, where the cost function may be tailored to meet diverse objectives. We present fast algorithms that come up with a minimum cost DR plan, while meeting all the DR requirements associated with all the datasets hosted on the storage cloud. Our algorithms have strong theoretical properties: 2 factor approximation for bandwidth minimization and fixed parameter constant approximation for the general cost minimization problem. We perform a comprehensive experimental evaluation of RSCMap using models for a wide variety of replication solutions and show that RSCMap outperforms existing resiliency planning approaches.

Lightweight and Compromise Resilient Storage Outsourcing with Distributed Secure Accessibility in Mobile Cloud Computing

Mobile Cloud Computing usually consists of front-end users who possess mobile devices and back-end cloud servers. This paradigm empowers users to pervasively access a large volume of storage resources with portable devices in a distributed and cooperative manner. During the period between uploading and downloading files (data), the privacy and integrity of files need to be guaranteed. To this end, a family of schemes are proposed for different situations. All schemes are lightweight in terms of computational overhead, resilient to storage compromise on mobile devices, and do not assume that trusted cloud servers are present. Corresponding algorithms are proposed in detail for guiding off-the-shelf implementation. The evaluation of security and performance is also extensively analyzed, justifying the applicability of the proposed schemes.