Authentication Framework Research Articles

Development of trust-based authorization and authentication framework for secure electronic health payment in cloud environment

Development of trust-based authorization and authentication framework for secure electronic health payment in cloud environment

Attention-based view

Objective: To present a review and prognosis of academic research focused on the field of Attention-Based View (ABV). Methodology: Bibliometric analysis using co-word analysis and co-citation techniques of 165 relevant articles published between 2004 and 2021 in journals included in the Web of Science and Scopus databases, considering conceptual and intellectual structures, trends, and possible paths for the field of ABV. The retrieved articles were selected based on the key terms present in the title, abstract, and keywords. Relevance: Identifies the field development, research network, documents the most relevant journals and articles, concepts, and the intellectual framework of prominent authors. Findings: The seminal author, Ocasio, is the most expressive and the center of all networks in ABV research. The leading journal, according to the number of articles published, is the Strategic Management Journal. The conceptual structure presents three groups: the central roots of ABV, the attentional dynamics within organizations, and managerial cognition. Relevant topics are strategic change and communication channels, strategy as practice and studies in multinational companies (MNCs), organizational design, senior management team and governance. Theoretical implications: To present the state of the art, to integrate ABV knowledge and identify gaps for future research showing new trends, such as interfaces with metacognition and governance. Practical implications: Top management team decision-making process is ABV dependent so organizational architecture and its dynamics plays a crucial role in strategy for business success.

Advancements in green diesel production for energy sustainability: a comprehensive bibliometric analysis.

Green diesel as a second-generation biofuel has received enormous attention owing to the huge demand for renewable fuel for addressing the net zero target in 2050. This study examines the development of green diesel research through a bibliometric analysis. The state-of-the-art green diesel research is studied based upon 1285 documents (1153 articles and 132 reviews) retrieved from the Scopus database related to the used keywords. The analysis focused on three categories: publication outcomes, most cited papers, and research area identification. The VOSviewer and RStudio (bibliometrix) were applied to analyse the data, rationalized within the framework of author, affiliation, country, citation analysis, cross-dimensional keyword analysis, research streams, and research gaps. The general result of the study highlighted a continuous incline in article numbers classified into three stages: initiation, exploration, and elevation. Those articles were mainly published in bioenergy-themed journals, including Fuel, Energy & Fuels, and Renewable and Sustainable Energy Reviews. Taufiq-Yap Yun Hin is the highest contributor with 41 articles, and Fuel published 110 articles. The rapid growth of green diesel was also inferred by the extensive spread of research maps worldwide. Amid those swift developments, the state of the art on green diesel through bibliometric analysis is not available to the best of our knowledge as far. Subsequently, this review aims to display the state of the art, research gap, and future forecast of green diesel research.

Distributed Physical Layer Authentication: Overview and Opportunities

Distributed physical layer authentication (DPLA) is a novel authentication framework, which not only exploits the collaborative computing of multiple devices to enhance overall efficiency, but also alleviates the degradation of processing performance caused by resource-constrained terminals. It is considered a promising architecture for solving access security issues in future communications. Considering DPLA's potential, in this article, we review existing DPLA schemes to provide a comprehensive summary of the strategies and technical approaches adopted during each implementation stage. Our simulation results show that the voting-assisted DPLA scheme has better authentication performance than the centralized PLA. In addition, we also present some open research issues on DPLA, addressing new opportunities ahead and potential research directions.

A Blockchain Framework for Academic Certificates Authentication

A Blockchain Framework for Academic Certificates Authentication

A secure and efficient mobile ID framework for authentication with enhanced ECC

A secure and efficient mobile ID framework for authentication with enhanced ECC

SAAF-IoD: Secure and Anonymous Authentication Framework for the Internet of Drones

SAAF-IoD: Secure and Anonymous Authentication Framework for the Internet of Drones

Module Lattice-Based Post Quantum Secure Blockchain Empowered Authentication Framework for Autonomous Truck Platooning

Module Lattice-Based Post Quantum Secure Blockchain Empowered Authentication Framework for Autonomous Truck Platooning

LEAF-IIoT: Lightweight and Efficient Authentication Framework for the Industrial Internet of Things

LEAF-IIoT: Lightweight and Efficient Authentication Framework for the Industrial Internet of Things

PSAF-IoT: Physically Secure Authentication Framework for the Internet of Things

PSAF-IoT: Physically Secure Authentication Framework for the Internet of Things

Blockchain Integration with AIoT Data Security and Privacy for Sustainability

As a primary goal, AIoT (Artificial Intelligence of Things) is the fusion of AI (artificial intelligence) methods with IoT (Internet of Things) infrastructure, which is deployed there to enhance the overall system performance of AIoT. Artificial Intelligence of Things can be used to make Internet of Things operations more efficient, which will enhance data analysis and human-machine interactions. The system's general usefulness is further increased by applying artificial intelligence techniques to convert Internet of Things data into relevant information for improved decision-making processes. The Artificial Intelligence of Things frameworks have a wide range of applications, including eCommerce, logistics operations and control, smart homes, smart farms, intelligent transportation systems, industrial automation and control, eCommerce, secure as well as safe healthcare monitoring, and many more. AIoT frameworks, however, are susceptible to a variety of information security-related assaults, which could result in problems with data security and privacy. Serious repercussions, such as unapproved data updates and leaks, are also brought on by these problems. One particular kind of database is the blockchain. It's a digital record of all the transactions that's distributed throughout the whole network of systems. Data is stored in the blocks that are linked in a chained manner. Compared to conventional security methods, blockchain technology offers greater security and is impervious to tampering. Therefore, to increase security, blockchain can be used in a variety of AIoT applications. A safe authentication architecture for AIoT has been suggested, modelled after a generalised blockchain. The adversarial model, which handles most potential security threats in this kind of communication environment, is also highlighted. This framework is part of the blockchain-envisioned safe authentication framework for the Internet of Things. The suggested framework's numerous applications are also covered. Additionally, certain problems and difficulties with the suggested framework are emphasised. Finally, we also offer some suggestions for future research that are related to the framework that has been suggested.

Efficient Authentication Framework with Blake2s and a Hash-based Signature Scheme for Industry 4.0 Applications

Efficient Authentication Framework with Blake2s and a Hash-based Signature Scheme for Industry 4.0 Applications

QHB-DA: A Quantum Hybrid Blockchain-based Data Authenticity Framework for Supply Chain in Industry 4.0

QHB-DA: A Quantum Hybrid Blockchain-based Data Authenticity Framework for Supply Chain in Industry 4.0

Physically Secure and Privacy-Preserving Charging Authentication Framework With Data Aggregation in Vehicle-to-Grid Networks

Physically Secure and Privacy-Preserving Charging Authentication Framework With Data Aggregation in Vehicle-to-Grid Networks

Enhancing Security of 5G-Enabled IoT Systems through Advanced Authentication Mechanisms: A Multifaceted Approach

The Internet of Things (IoT) has revolutionized communication among devices, offering unprecedented efficiency and convenience. However, the widespread adoption of IoT has raised significant security concerns, emphasizing the need for robust security measures. This study focuses on the crucial aspect of authentication within the layered architecture of IoT systems. Authentication is foundational to the architecture, ensuring the availability, security, and integrity of IoT services and data. The research evaluates the current state of IoT authentication techniques, highlighting limitations in conventional solutions. To address these shortcomings, an advanced authentication framework is proposed, incorporating cutting-edge technologies such as blockchain, artificial intelligence, and biometrics. The framework employs biometric data for a dynamic and adaptive authentication process, enhancing security and accuracy in user and device identification. Blockchain technology is integrated to establish a decentralized and tamper-resistant identity management system, reducing the risk of unauthorized access and data manipulation. Artificial intelligence continuously adapts authentication processes based on behavioural patterns, bolstering the system's resilience against evolving cyber threats. The study also discusses the practical application of the proposed authentication system, considering resource limitations in IoT devices. It provides insights into the efficiency, scalability, and interoperability of the suggested solution within various IoT ecosystems. The research contributes to the ongoing discourse on IoT security by thoroughly examining enhanced authentication procedures. Organizations can fortify their IoT deployments against a growing array of cyber threats by prioritizing advanced authentication within a layered design, fostering a more secure and reliable IoT ecosystem. Additionally, the study presents a comprehensive overview of the state-of-the-art security in IoT, exploring various designs, enabling technologies, and protocols. It delves into security challenges at each architectural tier, providing an in-depth analysis of attack taxonomies and advanced defenses. The article serves as a valuable resource for researchers and academics in the IoT sector, offering a detailed survey of architectural security, identification of challenges, resolution strategies, and insights into the evolving landscape of IoT. The study provides a comprehensive survey of IoT architectural security, identifying challenges, proposing resolutions, and highlighting changes in the IoT domain. This research aims to enhance the accuracy by 80% of IoT security, fostering a more secure and reliable IoT ecosystem.

Pribadi: A decentralized privacy-preserving authentication in wireless multimedia sensor networks for smart cities

Wireless Multimedia Sensor Network (WMSN) is a network of interconnected sensor nodes equipped with multimedia devices capable to retrieve multimedia as well as scalar sensor data in smart city scenarios. With the progress of smart city development, WMSNs are becoming points of interest. The existing research works on the security of WMSNs show some significant centralized solutions; they are prone to denial of service attacks, central failure, and privacy breaches. Also, these solution are having limitations because of their centralized nature.Therefore, the the proposed scheme adopted the concept of decentralization to achieve more effective and ubiquitous results. As per our best knowledge, we introduce the first decentralized privacy-preserving authentication framework for WMSNs to address the energy and storage challenges. We call our solution PRIvacy-preserving Blockchain-based Authentication for multimeDIa networks (PRIBADI). PRIBADI uses a blockchain framework for authenticated communication between sensor nodes and base stations (as a trusted authority) by using certification and access authentication schemes. We elect trustworthy cluster heads based on weight metrics and these cluster heads forward the information to the Trusted Authority (TA). Subsequently, TA forward large data to the cloud for storage, and the information relevant to certificates and hashes are recorded on the distributed blockchain. Moreover, TA revokes the certificates of malicious sensor nodes and eliminates them from the blockchain. We run a set of experiments on PRIBADI and compare the results with the state-of-the-art models. We use the evaluation criteria of detection accuracy, operation, and energy consumption. We find that PRIBADI is 31.7% better than the existing models.

A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: Problems, challenges and solutions

Protecting private data in smart homes, a popular Internet-of-Things (IoT) application, remains a significant data security and privacy challenge due to the large-scale development and distributed nature of IoT networks. Recently, smart healthcare has leveraged smart home systems, thereby compounding security concerns in terms of the confidentiality of sensitive and private data and by extension the privacy of the data owner. However, proof-of-authority (PoA)-based blockchain distributed ledger technology (DLT) has emerged as a promising solution for protecting private data from indiscriminate use and thereby preserving the privacy of individuals residing in IoT-enabled smart homes. This review elicits some concerns, issues, and problems that have hindered the adoption of blockchain and IoT (BCoT) in some domains and suggests requisite solutions using the aging-in-place scenario. Implementation issues with BCoT were examined as well as the combined challenges BCoT can pose when utilised for security gains. The study discusses recent findings, opportunities, and barriers, and provides recommendations that could facilitate the continuous growth of blockchain applications in healthcare. Lastly, the study explored the potential of using a PoA-based permission blockchain with an applicable consent-based privacy model for decision-making in the information disclosure process, including the use of publisher-subscriber contracts for fine-grained access control to ensure secure data processing and sharing, as well as ethical trust in personal information disclosure, as a solution direction. The proposed authorisation framework could guarantee data ownership, conditional access management, scalable and tamper-proof data storage, and a more resilient system against threat models such as interception and insider attacks.

HapticPilot

The emergence of vibrotactile feedback in hand wearables enables immersive virtual reality (VR) experience with whole-hand haptic rendering. However, existing haptic rendering neglects inconsistent sensations caused by hand postures. In our study, we observed that changing hand postures alters the distribution of vibrotactile signals which might degrade one's haptic perception. To address the issues, we present HapticPilot which allows an in-situ haptic experience design for hand wearables in VR. We developed an in-situ authoring system supporting instant haptic design. In the authoring tool, we applied our posture-adaptive haptic rendering algorithm with a novel haptic design abstraction called phantom grid. The algorithm adapts phantom grid to the target posture and incorporates 1D & 2D phantom sensation with a unique actuator arrangement to provide a whole-hand experience. With this method, HapticPilot provides a consistent haptic experience across various hand postures is available. Through measuring perceptual haptic performance and collecting qualitative feedback, we validated the usability of the system. In the end, we demonstrated our system with prospective VR scenarios showing how it enables an intuitive, empowering, and responsive haptic authoring framework.

Lightweight two-factor authentication framework with privacy preserving for smart eHealth

Lightweight two-factor authentication framework with privacy preserving for smart eHealth

Pattern unlocking guided multi‐modal continuous authentication for smartphone with multi‐branch context‐aware representation learning and auto encoder

AbstractWidely accepted explicit authentication protocols are vulnerable to a series of attacks, for example, shoulder surfing and smudge attacks, leaving users with the constant burden of periodic password changes. As such, we propose a novel framework for continuous authentication on smartphones. This approach is guided by pattern unlocking, which is widely used and will not cause learning cost. After collecting multi‐modal data that describe both behavioral and contextual information, we employ a multi‐branch context‐aware attention network as the representation learner to perform feature extraction, then an auto encoder is then used for authentication. To overcome challenges, including cold‐start and few‐shot training, which is less discussed in other works, we incorporate transfer learning with a coarse‐to‐fine pre‐training workflow. Additionally, we deploy a hierarchical approach to offload model tuning overhead from smartphones. Extensive experiments on more than 68 000 real‐world recordings validate the effectiveness of the proposed method, with an EER (equal error rate) of 2.472% under mixed contexts, which consistently outperforms state‐of‐the‐art approaches under both static and mixed contexts.