Access Management Research Articles

Forest users' perceptions and institutional dynamics during covariate health-related shocks: Lessons from the Busitema Forest Reserve in Uganda

Increased dependency on the forest has resulted in rapid transformation of forest landscapes; this has been identified in the extensive literature as a significant mechanism for the spread of several zoonotic diseases, including the Ebola and COVID-19 viruses. Empirical evidence suggests the need for active management of forest resource access as a holistic path towards curbing spillovers, placing forest management institutions at the epicentre of regulating forest resource use and preventing zoonotic spillovers. Yet, there is scant evidence on the pattern of institutional change in the context of health shocks in many parts of sub-Saharan Africa. This validates the need for context-specific evidence on the perceptions of forest users regarding the triggers of spillovers around forest-based communities and how forest management institutions respond to such shocks. As a contribution, we draw on descriptive statistics and narratives to: (a) analyze the perceptions of forest users regarding the triggers of covariate health-related stocks such as Ebola and COVID-19, (b) characterize forest-related institutional influence on forest management and (c) compare institutional response approaches towards the Ebola virus disease and the COVID-19 pandemic. The study employed a random sampling of 135 households, focus group discussions (n = 4), and expert interviews (n = 8) to generate relevant empirical data. The findings indicate that forest users identify the consumption of bushmeat and human-wildlife contact as the primary triggers of Ebola and COVID-19. Also, the COVID-19 and Ebola virus induced forest management institutional response, which assumed similar patterns. However, the degree of change largely depended on the scale and impact of the shock; COVID-19 induced more institutional responses than Ebola. The study establishes uniformity in the pattern of forest management institutional response to health shocks, providing relevant policy insights for forest settings during health shock events.

Enhancing healthcare access and malaria management via mobile clinics and phone call services in Nuh district of Haryana, India.

Malaria remains a complex challenge in India due to its diverse epidemiology, multi-ethnic population, and multiplicity of malaria vectors. While progress has been made in reducing malaria nationally, persistent pockets hinder elimination efforts. These challenges include hidden reservoirs, inadequate healthcare, suboptimal surveillance, non-compliance, and subclinical infections. Shortage of grassroot level and primary care health staff, transportation issues and general inaccessibility and unavailability of healthcare services are additional challenges. Mobile healthcare vans have been tried and found useful in enhancing healthcare availability in several health conditions in different settings. Nuh district in Haryana, India is a malaria endemic region; it is indeed one of the districts included by India's NITI Aayog in the Aspirational Districts Programme, a government initiative that focuses on rapidly transforming and developing the most underdeveloped districts in country. With an aim to improve the healthcare seeking behavior of malaria-endemic community of selected villages of Nuh district, we carried out a study using interventions in two villages of the district, that had mobile malaria clinics and toll-free telephone services in enhancing healthcare access. We found that Sangel village had higher literacy rates (60.6%) as compared to 39.4% in Naushera. Similarly, the unemployment rate was higher for Naushera. It the mobile malaria clinic was deployed from December 2019 to July 2020 and a total of 269 phone calls were received from both the villages. A similar number of rapid tests and microscopy smears were examined and all were negative for malaria. The febrile patients were referred to the nearest healthcare facility. The study shows that the community is open to using these healthcare interventions. These initiatives of mobile malaria clinics and toll-free telephone services can bridge healthcare gaps, especially in malaria-endemic regions, aligning with India's malaria elimination and equitable healthcare access goals.

Academic community’s use of university digital library and their searching behaviour

Purpose This study aims to explore the evidence-based usage patterns of higher education commission (HEC) subscribed e-journal databases in the university digital library used by the scholarly community and the academics’ online searching behaviour at a higher education institution in Pakistan. Design/methodology/approach The study used an explanatory sequential mixed methods approach. Raw transaction log data were collected for quantitative analysis, and the interview technique was used for qualitative data collection and thematic analysis. Findings Log analysis revealed that HEC subscribed databases were used significantly, and among those, scholarly databases covering various subjects were more frequently used than subject-specific society-based databases. Furthermore, the users frequently accessed the needed e-journal articles through search engines like Google and Google Scholar, considering them sources of free material instead of the HEC subscribed databases. Practical implications It provides practical implications for examining the evidence-based use patterns of e-journal databases. It suggests the need for improving the access management of HEC databases, keeping in view the usage statistics and the demands of the scholars. The study may also help create market venues for the publishers of scholarly databases by offering attractive and economical packages for researchers of various disciplines in developing and underdeveloped countries. The study results also guide the information professionals to arrange orientation and information literacy programs to improve the searching behaviour of their less frequent users and enhance the utilization of these subscribed databases. Originality/value The study is part of a PhD project and, to the best of the authors’ knowledge, is the first such work in the context of a developing country like Pakistan.

GateGuardian App

The GateGuardian application is a comprehensive mobile solution designed to streamline and enhance access management and security protocols for gated communities, residential complexes, office buildings, and other controlled-access environments. The application provides a range of features aimed at facilitating efficient visitor management, member directory access, staff attendance tracking, parking management, and emergency/society help desk services.The primary objective of the GateGuardian application is to provide residents, security personnel, and management with a centralized platform for managing access permissions, tracking visitor activity, and responding effectively to emergency situations. By leveraging mobile technology, the application offers convenient and real-time access to critical information and functionalities, thereby improving overall security and operational efficiency within the controlled-access environment. Key Words: Access management, data security, gated communities, user friendly.

Valuation of the Bar Reef Marine Sanctuary from the Perception of the Visitors


 
 
 Bar Reef is a diverse ecosystem with near shore coral reefs, sea grass beds and associated ecosystems with over 120 coral species and over 300 fish species reported from the surrounding sea. It has been declared as a marine sanctuary by the Department of Wildlife Conservation in 1992. Despite of the efforts it is subjected to over exploitation by extractive users, destructive fishing practices and visitor pressure on the ecosystem. The study sought to value the ecosystem degradation prevailing in the bar reef from the perception of the visitors using choice experiment method. Different attributes for the choice experiment were identified using two focus group discussions and 10 key informant interviews held prior to the mail survey. Identified attributes were level of plastic accumulated, use of illegal fishing nets, level of crowding and monetary contribution. An orthogonal main effect design was generated and 9 choice cards were prepared, each with 4 different attributes. Randomly selected 250 visitors were interviewed onsite during January to June 2021 and conditional logit model was used to analyze the significance of their preferences. Paying LKR 1,000, reducing crowding the beach area by 15% and reduction of plastic and polythene by 50% were the significant factors according to the results obtained at α=0.01. People are willing to pay LKR 1,001.18 if plastic pollution can be reduced by 50%. People are willing to pay LKR 998.92 if the crowding of the beach can be reduced by 15%. The results of this research emphasize the importance of protecting this habitat to the relevant stakeholders. Further, this research will enable to introduce new policies and practices so that sustainability of the ecosystem can be ensured.
 Keywords: Ecosystem sustainability, Choice experiment, Conditional logit, Marine plastic pollution, Visitor access management
 
 

Zero Trust Architecture in Cloud Networks: Application, Challenges and Future Opportunities

Cloud computing has become essential in this digital world as it provides opportunities and challenges for organizations. This research explores the implementation and effectiveness of Zero Trust Architecture (ZTA) in addressing security challenges within cloud networks. Utilizing qualitative research methods, including a systematic literature review from 2020 to 2024, the study investigates insights from diverse sources such as journal articles, academic literature, and case studies. Thematic analysis organizes findings into critical themes, revealing ZTA's impact on mitigating lateral movement, reducing insider threat probability, enhancing network micro-segmentation, and improving identity and access management. The comparative analysis demonstrates significant improvements in security incidents post-ZTA implementation. Moreover, the study highlights best practices for ZTA adoption and outlines future advancements, including integration with emerging technologies like machine learning and artificial intelligence. This research underscores ZTA's pivotal role in fortifying cloud network security and offers valuable insights for practitioners and researchers.

Occipital condyle fracture in the pediatric population: A management algorithm and systematic review.

This study aims to develop an accessible stepwise management algorithm for pediatric presentations of occipital condyle fractures (OCFs) based on a systematic review of the published literature regarding diagnostic evaluation, treatment, and outcomes. A systematic review of the literature was conducted on PubMed to locate English language studies reporting on the management of pediatric OCFs. Data extraction of clinical presentation, management strategies, imaging, and treatment outcome was performed. A total of 15 studies reporting on 38 patients aged 18 years and younger presenting with OCFs were identified. Loss of consciousness (LOC), depressed level of consciousness, neck pain, decreased neck range of motion (ROM), and cranial nerve injury were the most common presenting symptoms. Diagnostic imaging included radiographs, computed tomography (CT) scans, magnetic resonance imaging (MRI), and functional radiographs to assess cervical stability. Treatment options varied and included soft collar, hard collar, and halo vest. All studies resulted in a complete healing of the OCF, with resolution of associated pain. The proposed treatment algorithm suggests a framework for the management of pediatric OCFs based on the available evidence (levels of evidence: 3, 4). This review of the literature indicated that a stepwise approach should be utilized in the management of isolated pediatric OCFs.

Dialysis nurses' knowledge, attitude, practices, and self-efficacy regarding vascular access care: A multicenter cross-sectional survey in Singapore.

Dialysis nurses play a pivotal role in the management of vascular access (VA), physician-patient liaison, and patient education for hemodialysis patients. This multicenter study aims to review the dialysis nurses' knowledge, attitude, practice, and self-efficacy toward providing care for patients' VA. A multi-centered study was conducted using a self-administered survey. Nurses from 47 Singapore dialysis centers (five hospital-based and 42 community-based) providing hemodialysis were invited to participate on a voluntary and anonymous basis from April to November 2022. The survey consists of nurses' knowledge on VA (10 items), attitude on VA care (six items), usual practices (seven items), and self-efficacy in VA cannulation and management (six items). The total scores for the knowledge, attitude, and self-efficacy components were 50, 30, and 30 respectively. The instrument has been validated in a pilot study. In total, five hundred sixteen dialysis nurses participated the survey. The mean (±SD) knowledge score of the participants toward VA care was 30.0 (±8.1) over a total score of 50. The means (±SD) of their attitude and self-efficacy scores were 24.4 (±4.1) and 24.2 (±3.1) over 30 respectively. The majority of the nurses (84.1% in hospital-based centers and 98.9% in community-based centers) conducted patient education in some aspects of VA care. The percentage of nurses indicated need for referral to access specialists due to various abnormalities varied significantly between the hospital-based and community-based settings. In the multivariable linear regression analysis, longer working experience was a significant factor for higher knowledge score (B = 0.26; p = 0.001), attitude score (B = 0.08; p = 0.01), and self-efficacy score (B = 0.34; p < 0.001). Dialysis nurses in Singapore have satisfactory knowledge, practice, and self-efficacy on VA care. The majority of them expressed positive opinions toward the VA-related training they received, new technologies, and communications. The identified knowledge and practice gaps could be incorporated into the future training programs.

Built Custom Alexa Skills using AWS

Abstract:The creation of unique Alexa skills using the Amazon Web Services (AWS) infrastructure is the focus of this project. Alexa skills are voice- activated features that improve Alexa, the virtual assistant from Amazon, in terms of functionality. The project's main goal is to demonstrate the flexibility and adaptability of AWS in voice- activated interactions by developing custom skills that are suited to certain use cases or applications. During the development process, the bespoke Alexa skills are hosted and executed using AWS Lambda, an event-driven computing service. With AWS Lambda, code can be seamlessly integrated without requiring server management, guaranteeing a scalable and effective solution. The stability and dependability of the custom Alexa skills are further enhanced by the extensive suite of tools and services offered by AWS, including the Alexa Skills Kit (ASK), DynamoDB for data storage, and IAM (Identity and Access Management) for security. The complexities of voice-activated technologies, AWS infrastructure, and Alexa skill development are investigated through this research. With the help of the Alexa ecosystem and customized skills, companies, developers, and enthusiasts can use AWS's power to create unique and interesting voice experiences. The project's main ideas are summarized in this abstract, which highlights the use of AWS technology to develop customized and inventive Alexa skills. Keywords:Custom Alexa skills, AWS, Voice- activated technology, Alexa Skills Kit, AWS Lambda, DynamoDB, IAM.

WarenstromInfo: a tool for the easy extraction and visualisation of trade flow data

Epidemiological outbreak investigations often prove to be lengthy and inconclusive due to the time-consuming nature of the currently-used approaches. An alternative approach to address these challenges could involve the application of algorithms to support authorities and food business operators by providing timely, relevant and reliable information. Algorithms, such as gravity models, could be applied as commodity trade models, but they require a large amount of reliable and consistent data on trade for generating projections at international, national or even regional level. Several trade databases, such as UN COMTRADE, EUROSTAT, BACI, CHELEM and GTAP, provide information on trace, albeit with variations in the provided information and in the structure. However, it is worth noting that not all of these databases are freely accessible and data management can pose challenges, hampering the access to the trade data. WarenstromInfo (WI) was created as a software solution that allows easy trade data extraction and visualisation for application in different areas, such as outbreak investigations. WarenstromInfo (WI) is an application tool that automatically extracts, decodes and visually displays trade flow data from EUROSTAT "EU trade since 2002 by statistical procedure, by HS2-4-6 and CN8 (DS-059322)" (hereinafter referred to EUROSTAT) and the BACI databases, based on user input. WI was developed by using the open-source desktop software KNIME Analytics Platform. WI offers the flexibility to be executed either as a web service on a KNIME Web Server infrastructure or as a local resource. To integrate the BACI database into WI, the database is annually downloaded as csv files, rebuilt as a SQLite database and hosted locally into the KNIME Web Server Infrastructure. In order to optimise storage space on the KNIME server, this SQLite database specifically includes only agrifood data, reflecting the tool´s focus. However, if new objectives are established, this database can be expanded. Further, data of the SQLite database can be customised by executing the WI workflow locally, enabling the user to expand the database at any time. In contrast to BACI, trade data extraction from the EUROSTAT database is performed via the EUROSTAT’s API (Application Programming Interface) applying GET requests and XML data management. WI displays four User-friendly Interfaces (UIs) designed with interactive KNIME nodes that facilitate the input of variables. The extracted trade flow data are shown through interactive tables directly within the UIs. This feature enables users to easily explore the data in a structured and user-friendly manner. Additionally, WI incorporates the extracted trade flow data into maps. These maps provide a visual representation of the data, allowing users to gain insights and identify patterns and trends geographically. Both, the data table and the maps, can be downloaded as a single Excel file (containing multiple preformatted tables) and as png files, respectively.

Multi-source heterogeneous data access management framework and key technologies for electric power Internet of Things

The power Internet of Things (IoT) is a significant trend in technology and a requirement for national strategic development. With the deepening digital transformation of the power grid, China’s power system has initially built a power IoT architecture comprising a perception, network, and platform application layer. However, owing to the structural complexity of the power system, the construction of the power IoT continues to face problems such as complex access management of massive heterogeneous equipment, diverse IoT protocol access methods, high concurrency of network communications, and weak data security protection. To address these issues, this study optimizes the existing architecture of the power IoT and designs an integrated management framework for the access of multi-source heterogeneous data in the power IoT, comprising cloud, pipe, edge, and terminal parts. It further reviews and analyzes the key technologies involved in the power IoT, such as the unified management of the physical model, high concurrent access, multi-protocol access, multi-source heterogeneous data storage management, and data security control, to provide a more flexible, efficient, secure, and easy-to-use solution for multi-source heterogeneous data access in the power IoT.

Long-Term Care Residents' Perceptions of Integrated Care From Physio-Psycho-Social Perspectives: A Qualitative Inquiry.

In response to the aging population, an integrated care policy has been put forward and implemented in China. The key aspect of this policy is the reform of services within long-term care facilities, representing a significant shift and innovation. This study aims to explore the perceptions and experiences of integrated care among older residents living in long-term care facilities. A descriptive qualitative design was applied in our study. Utilizing a purposive sampling method, 18 older adults from 5 long-term care institutions in Shanghai, China were selected. Data were collected through semi-structured in-depth interviews from October 2022 to April 2023, continuing until data saturation was reached. Directed content analysis was applied to analyze the interview data, guided by the Fundamentals of Care (FoC) Framework. Five themes and 11 subthemes were identified, including (1) Policy level: positive attitude and negative feelings. (2) Physiological level: satisfied basic daily life, primary medical services accessibility and chronic care management enhancement needed. (3) Psychological level: need for psychological support and need for self-perception recognition. (4) Relationship level: enhancement of humanistic care and need for a family atmosphere. (5) Social level: interpersonal communication constrained by the times and inadequate social engagement. Strengthening the awareness and participation of older people in the integrated care policy, and fully meeting the diverse needs including advanced medical care, chronic disease management, personalized life care, psychological support, humanistic care and social engagement will contribute to the improvement of the policy, so as to better adapt the demographic shift.

A Model Apporach for Identity and Access Management (IAM) System in the Cloud

Through use of cloud computing, information may be accessible from a range of different types of devices. It is now possible to communicate with a company at any time or location, regardless of location or time zone. Using the cloud has a number of advantages, some of which include lower expenditures on information technology and infrastructure expenses, more agility, and improved continuity planning. These benefits can only be attained via the implementation of a reliable identity and access control system for cloud applications and services. Managing these identities and limiting the access that cloud clients and applications have continues to be a significant challenge in the modern day. In order to strengthen the protection offered by a venture, it is necessary to set up a trust worthy identity and access management (IAM) system in the cloud. The findings of this study provide an intelligent and reliable IAM system that is based on cloud computing.

Peningkatan Efektivitas Operasional Melalui Implementasi ITIL V3 Pada Sistem Informasi“New Modern” Dengan Fokus Service Operation (Studi Kasus: CV Cahaya Makmur Abadi)

Cv Cahaya Makmur Abadi is a modern cotton distributor company located in Banyumas. Currently, Cv Cahaya Makmur Abadi is facing several operational issues in using the New Modern system. To enhance operational effectiveness, this research implements the ITIL V3 framework, particularly in the service operation domain, which includes Event Management, Incident Management, Problem Management, Request Fulfillment, and Access Management. It is expected that through the implementation of ITIL V3, the issues faced by Cv Cahaya Makmur Abadi can be minimized, and the company's operations can run more efficiently and effectively. In addressing the challenges encountered during the operation of the New Modern System at Cv Cahaya Makmur Abadi, the author recommends the use of the ITIL V3 approach in the Service Operation section. ITIL V3 is a framework that can help improve the operational effectiveness of information systems. Although an analysis has been conducted, there are still some areas within the Service Operation domain that need improvement.

AI for Identity and Access Management (IAM) in the Cloud: Exploring the Potential of Artificial Intelligence to Improve User Authentication, Authorization, and Access Control within Cloud-Based Systems

This comprehensive study explores the integration and effectiveness of Artificial Intelligence (AI) in Identity and Access Management (IAM) within cloud environments. It primarily focuses on how AI can enhance user authentication, authorization, and access control, addressing the challenges and possibilities in cloud computing. The study adopts a mixed-methods approach, employing both quantitative and qualitative analyses. A survey involving 582 cybersecurity experts provides insights into the current state and potential of AI in IAM, while multiple regression analysis examines the impact of various factors on system effectiveness. Four hypotheses are explored: the impact of hardware and software configurations on system accuracy (H1), the influence of computational environments on reliability (H2), the role of demographic factors in user acceptance (H3), and the effect of technological enhancements on system performance and acceptance (H4). Findings indicate significant correlations between these factors and the effectiveness of AI in IAM. Notably, hardware configurations and security concerns influence system accuracy; computational environment variations affect system reliability; demographic factors impact user acceptance; and enhancements such as user feedback, advancements in AI technology, continuous learning algorithms, and system transparency improve performance and acceptance. These insights underscore the need for advanced hardware, standardized software, user-centric design, and continuous improvement in AI technologies for effective IAM in cloud environments. The study provides actionable recommendations for cloud service providers and developers, emphasizing the importance of involving users in development processes, ensuring transparency, and adopting adaptive algorithms. Future research directions include longitudinal studies on the impact of technological advancements and exploring demographic-specific responses to AI-integrated IAM solutions.

Blood-based biomarkers in Alzheimer's disease- moving towards a new era of diagnostics.

Alzheimer's disease (AD), a primary cause of dementia globally, is traditionally diagnosed via cerebrospinal fluid (CSF) measures and positron emission tomography (PET). The invasiveness, cost, and limited accessibility of these methods have led to exploring blood-based biomarkers as a promising alternative for AD diagnosis and monitoring. Recent advancements in sensitive immunoassays have identified potential blood-based biomarkers, such as Aβ42/Aβ40 ratios and phosphorylated tau (p-tau) species. This paper briefly evaluates the clinical utility and reliability of these biomarkers across various AD stages, highlighting challenges like refining plasma Aβ42/Aβ40 assays and enhancing the precision of p-tau, particularly p-tau181, p-tau217, and p-tau231. The discussion also covers other plasma biomarkers like neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and synaptic biomarkers, assessing their significance in AD diagnostics. The need for ongoing research and development of robust assays to match the performance of CSF and PET biomarkers is underscored. In summary, blood-based biomarkers are increasingly crucial in AD diagnosis, follow-up, prognostication, treatment response evaluation, and population screening, particularly in primary care settings. These developments are set to revolutionize AD diagnostics, offering earlier and more accessible detection and management options.

Beyond the Firewall: Understanding and Mitigating Cloud Security Challenges

In the ever-evolving landscape of digital infrastructure, the adoption of cloud computing has ushered in unparalleled opportunities for innovation but has also introduced complex challenges in securing sensitive data. This research, titled "Beyond the Firewall: Understanding and Mitigating Cloud Security Challenges," embarks on a comprehensive exploration of the multifaceted dimensions surrounding cloud security. The study delves into the intricacies of cloud security, transcending traditional boundaries set by firewalls. From elucidating the dynamics of shared responsibility models to dissecting the nuances of identity and access management, the research unravels the complexities inherent in safeguarding data within the expansive digital cosmos. It addresses elusive threats like data breaches and underscores the critical importance of adaptive strategies to navigate the ever-changing threat landscape. This research goes beyond theoretical discourse, offering actionable insights for organizations seeking to fortify their cyber defenses. It emphasizes the need for a paradigm shift in understanding security challenges in the cloud era and advocates for a proactive approach to mitigate potential risks. By illuminating the path "Beyond the Firewall," this study aims to empower stakeholders with practical knowledge, enabling them to establish robust security frameworks that resonate with the dynamic nature of modern digital ecosystems. Join us on this expedition into the heart of cloud security challenges, as we decipher the complexities and chart a course towards a more resilient and secure digital future.

In-Hospital Violence and Its Impact on Critical Care Practitioners.

To provide a narrative review of hospital violence (HV) and its impact on critical care clinicians. Detailed search strategy using PubMed and OVID Medline for English language articles describing HV, risk factors, precipitating events, consequences, and mitigation strategies. Studies that specifically addressed HV involving critical care medicine clinicians or their practice settings were selected. The time frame was limited to the last 15 years to enhance relevance to current practice. Relevant descriptions or studies were reviewed, and abstracted data were parsed by setting, clinician type, location, social media events, impact, outcomes, and responses (agency, facility, health system, individual). HV is globally prevalent, especially in complex care environments, and correlates with a variety of factors including ICU stay duration, conflict, and has recently expanded to out-of-hospital occurrences; online violence as well as stalking is increasingly prevalent. An overlap with violent extremism and terrorism that impacts healthcare facilities and clinicians is similarly relevant. A number of approaches can reduce HV occurrence including, most notably, conflict management training, communication initiatives, and visitor flow and access management practices. Rescue training for HV occurrences seems prudent. HV is a global problem that impacts clinicians and imperils patient care. Specific initiatives to reduce HV drivers include individual training and system-wide adaptations. Future methods to identify potential perpetrators may leverage machine learning/augmented intelligence approaches.

NFTs for the Issuance and Validation of Academic Information That Complies with the GDPR

The issuance and verification of academic certificates face significant challenges in the digital era. The proliferation of counterfeit credentials and the lack of a reliable, universally accepted system for issuing and validating them pose critical issues in the educational domain. Certificates, traditionally issued by centralized educational institutions using their proprietary systems, pose challenges for straightforward verification, generating uncertainty about the credibility of academic achievements. In addition to diplomas issued by academic entities, it is now necessary in virtually all professional fields to stay updated and obtain accreditation for certain skills or experiences, which is a determining factor in securing or enhancing employment. Yet, there is no platform available to consistently demonstrate these capabilities and experiences. This article introduces a novel model for issuing and verifying academic information using non-fungible tokens (NFTs) supported by blockchain technologies, focused on compliance with the General Data Protection Regulation (GDPR). It describes a model that grants control to the data subject, enabling the management of information access while adhering to key GDPR principles. Simultaneously, it remains compatible with existing systems within organizations, and is flexible in certifying various types of academic information. The implications of this model are discussed, emphasizing the importance of addressing privacy in blockchain-based applications.

Access control and data sharing mechanism in decentralized cloud using blockchain technology

&lt;p class="abstract"&gt;Access control is the most vital aspect of cloud data storage security. Traditional techniques for data distribution as well as access control face noteworthy challenges in the arena of research as a result of extensive abuse and privacy data breaches. The blockchain concept provides security by verifying users by multiple encryption technologies. Collaboration in the cloud improves management but compromises privacy. Consequently, we created an efficient access management and data exchange system for a blockchain-based decentralized cloud. On the basis of an ID and password, the data user (DU) submits a registering request to the data owner (DO). The DO data is incorporated into a transactional blockchain by an encoded master key. The data owner (DO) provides data encryption, and encrypted files are still published to the Interplanetary File System (IPFS). The DO generates ciphertext metadata, which is then published to the transactional blockchain utilizing a secure file location and a secure key. The projected access control and data sharing solution performed better in a decentralized blockchain based cloud, as measured by metrics such as a reduced illegitimate user rate of 5%, and a size blockchain of is 100 and 200, respectively.&lt;strong&gt;&lt;em&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;