Trust In System Research Articles

The Predicament and Outlet of Environmental Impact Assessment Mechanism from the Perspective of Risk Society: Taking Japan’s Accident-Type Nuclear Sewage Disposal as a Cut-In

As an important yardstick of social modernization, nuclear technology not only promotes the in-depth development of the national economy but also hangs a sword of Damocles in the field of the risk society. Against the background of the unrest of the nuclear leakage disaster at the Fukushima nuclear power plant, the Japanese government has announced its unilateral decision to discharge nuclear sewage into the sea, undoubtedly putting at least the Pacific Rim countries at huge potential risks. In order to maximize risk reduction and focus on preventive construction in advance, Japan's measures to discharge accident nuclear sewage into the sea have a legitimate basis for the application of an environmental impact assessment system. At the same time, in the process of operation, there are numerous risk dilemmas, such as lack of safety treatment standards, long follow-up disposal cycle and negative domestic supervision system, which need to be broken through one by one. The effective application of the environmental impact assessment system in the Japanese nuclear accident not only helps to reduce the environmental crisis caused by accidental nuclear effluent discharge to the sea but also has a positive and far-reaching international demonstration significance, which helps to better build a foundation of international trust and preventive guarantee system in advance for the possible accidental nuclear effluent treatment in the future.

Blockchain based Trust System for Counterfeit Product Detection

Blockchain based Trust System for Counterfeit Product Detection

Design of a trust system for e-commerce platforms based on quality dimensions for linked open datasets

This article describes a proposal about a trust system for e-commerce platform based on semantic web technologies and trust dimensions rules. We try to expose a system that allow to manage communication processes between e-commerce platforms and users in a trustworthy manner. It allows the data flows and transactions gain more trust across the entire process. All of this can be achieved through the inference of rules exposed in the defined ontology, complemented by a cloud-based system with microservices architecture. With the implementation of the system through an e-commerce platform, could consume data from the microservices in order to get inferences about its clients that want to buy or sell something within its system. This system was created based on rules defined by the ontology, as well as the microservices could be used to register information about multiple e-commerce transactions. The result of this work is the Ontology and semantic web rules defined and implemented through protege.

A system of trust? Robert Brandom and Hegel’s phenomenology of spirit

In this paper, we discuss Robert B. Brandom?s reading of G. W. F. Hegel, especially his later work, A Spirit of Trust: A Reading of Hegel?s Phenomenology, in order to tackle the question of ?trust? as the structure of recognition. First, we reconstruct Brandom?s reading of Hegel?s philosophy as a form of ?social recognitive pragmatics? with a ?historical recollective account of conceptual content?, by which he aims at a re-definition of practical normativity based upon trust. Then, we examine his notion of trust as the ground for a future, post-modern society. Finally, we point at some difficulties concerning Brandom?s notion of post-modern age and examine the concept of trust as key to the modern understanding of social bonds.

Enhanced Metaheuristics with Trust Aware Route Selection for Wireless Sensor Networks

Recently, a trust system was introduced to enhance security and cooperation between nodes in wireless sensor networks (WSN). In routing, the trust system includes or avoids nodes related to the estimated trust values in the routing function. This article introduces Enhanced Metaheuristics with Trust Aware Secure Route Selection Protocol (EMTA-SRSP) for WSN. The presented EMTA-SRSP technique majorly involves the optimal selection of routes in WSN. To accomplish this, the EMTA-SRSP technique involves the design of an oppositional Aquila optimization algorithm to choose safe routes for data communication. For the clustering process, the nodes with maximum residual energy will be considered cluster heads (CHs). In addition, the OAOA technique gets executed to choose optimal routes based on objective functions with multiple parameters such as energy, distance, and trust degree. The experimental validation of the EMTA-SRSP technique is tested, and the results exhibited a better performance of the EMTA-SRSP technique over other approaches.

An Optimized Novel Trust-Based Security Mechanism Using Elephant Herd Optimization

Routing strategies and security issues are the greatest challenges in Wireless Sensor Network (WSN). Cluster-based routing Low Energy adaptive Clustering Hierarchy (LEACH) decreases power consumption and increases network lifetime considerably. Securing WSN is a challenging issue faced by researchers. Trust systems are very helpful in detecting interfering nodes in WSN. Researchers have successfully applied Nature-inspired Metaheuristics Optimization Algorithms as a decision-making factor to derive an improved and effective solution for a real-time optimization problem. The metaheuristic Elephant Herding Optimizations (EHO) algorithm is formulated based on elephant herding in their clans. EHO considers two herding behaviors to solve and enhance optimization problem. Based on Elephant Herd Optimization, a trust-based security method is built in this work. The proposed routing selects routes to destination based on the trust values, thus, finding optimal secure routes for transmitting data. Experimental results have demonstrated the effectiveness of the proposed EHO based routing. The Average Packet Loss Rate of the proposed Trust Elephant Herd Optimization performs better by 35.42%, by 1.45%, and by 31.94% than LEACH, Elephant Herd Optimization, and Trust LEACH, respectively at Number of Nodes 3000. As the proposed routing is efficient in selecting secure routes, the average packet loss rate is significantly reduced, improving the network’s performance. It is also observed that the lifetime of the network is enhanced with the proposed Trust Elephant Herd Optimization.

Modification of the reputation and trust model in the tasks of information security of grid systems for resistance to the threat of "malicious host groups"

In Grid-systems, the key idea is the joint use of resources, therefore there is a need for mutual trust between users and resource providers. In small grid systems, all participants are in a relationship of complete trust. For example, in the Ukrainian Academic Grid segment, all participants belong to the National Academy of Sciences of Ukraine, and on this basis there is complete trust. But in larger Grid-systems, participants may often not be directly connected to each other, and there is a risk that one of the participants will turn out to be unscrupulous and malicious. Trust mechanisms are designed to reduce these risks. The main purpose of security mechanisms is to provide protection against malicious users and groups of persons. Traditional security methods usually protect resources from malicious influences by restricting access to authorized users. However, in most cases there is a need to protect the system and its components from those who provide resources and services within heterogeneous computing systems. Thus, there are a large number of problems in the field of security that cannot be solved within the framework of traditional approaches. Information providers can, for example, commit fraud by providing false and unreliable information, and traditional security mechanisms are unable to protect against this type of threat. On the other hand, systems of reputation and trust can provide protection against these risks. The distinction between these two approaches to information security was first described by Rasmussen and Jansson (1996), who used the term hard security to refer to traditional mechanisms such as authentication and access control, and the term soft security to refer to what they called public control mechanisms. in general, exemplified by reputation and trust systems.

Blockchain-Based Distributed Systems for Trust and Transparency

The technology of distributed ledgers has the potential to transform a wide variety of different sectors by incorporating trust and transparency into the procedures of conducting transactions and exchanging data. In order to study the current status of research on blockchain-based distributed systems for trust and transparency, the objective of this literature review is to undertake a methodical analysis of research publications that have been published during the last five years. These articles were published in the preceding five years. This analysis is being conducted with the goal of determining the opportunities and challenges that may arise from the use of blockchain technology in a variety of sectors, including the healthcare industry, the management of supply chains, the provision of government services, and the financial sector. The publications that were reviewed provide evidence of both the breadth and complexity of the newly emerging field of study known as blockchain technology, as well as the ways in which blockchain-based distributed systems have the potential to improve features such as openness, accountability, and productivity in a range of settings. However, the papers also highlight the challenges associated with scalability, interoperability, regulation, and ethical considerations, as well as the necessity for additional research and engagement with stakeholder groups. This literature study, taken as a whole, offers helpful insights on the potential for blockchain technology to meet the growing need for accountability, traceability, and social responsibility in a range of settings. This finding also underscores the necessity of cross-disciplinary collaboration and the active participation of stakeholders in order to fully exploit the possibilities offered by blockchain technology.

Certrust: An SDN-Based Framework for the Trust of Certificates against Crossfire Attacks in IoT Scenarios

The low-intensity attack flows used by Crossfire attacks are hard to distinguish from legitimate flows. Traditional methods to identify the malicious flows in Crossfire attacks are rerouting, which is based on statistics. In these existing mechanisms, the identification of malicious flows depends on the IP address. However, the IP address is easy to be changed by attacks. Compared with the IP address, the certificate is more challenging to be tampered with or forged. Moreover, the traffic trend in the network is towards encryption. The certificates are popularly utilized by IoT devices for authentication in encryption protocols. DTLShps proposed a new way to verify certificates for resource-constrained IoT devices by using the SDN controller. Based on DTLShps, the SDN controller can collect statistics on certificates. In this paper, we propose Certrust, a framework based on the trust of certificates, to mitigate the Crossfire attack by using SDN for IoT. Our goal is threefold. First, the trust model is built based on the Bayesian trust system with the statistics on the participation of certificates in each Crossfire attack. Moreover, the forgetting curve is utilized instead of the traditional decay method in the Bayesian trust system for achieving a moderate decay rate. Second, for detecting the Crossfire attack accurately, a method based on graph connectivity is proposed. Third, several trust-based routing principles are proposed to mitigate the Crossfire attack. These principles can also encourage users to use certificates in communication. The performance evaluation shows that Certrust is more effective in mitigating the Crossfire attack than the traditional rerouting schemes. Moreover, our trust model has a more appropriate decay rate than the traditional methods.

CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease

This study was aimed to investigate the predictive value of the radiomics features extracted from pericoronaric adipose tissue — around the anterior interventricular artery (IVA) — to assess the condition of coronary arteries compared with the use of clinical characteristics alone (i.e., risk factors). Clinical and radiomic data of 118 patients were retrospectively analyzed. In total, 93 radiomics features were extracted for each ROI around the IVA, and 13 clinical features were used to build different machine learning models finalized to predict the impairment (or otherwise) of coronary arteries. Pericoronaric radiomic features improved prediction above the use of risk factors alone. In fact, with the best model (Random Forest + Mutual Information) the AUROC reached 0.820 pm 0.076. As a matter of fact, the combined use of both types of features (i.e., radiomic and clinical) allows for improved performance regardless of the feature selection method used. Experimental findings demonstrated that the use of radiomic features alone achieves better performance than the use of clinical features alone, while the combined use of both clinical and radiomic biomarkers further improves the predictive ability of the models. The main contribution of this work concerns: (i) the implementation of multimodal predictive models, based on both clinical and radiomic features, and (ii) a trusted system to support clinical decision-making processes by means of explainable classifiers and interpretable features.

Perfect Storm for Epistemic Injustice

Over the past decade, feminist philosophers have gone a long way toward identifying and explaining the phenomenon that has come to be known as epistemic injustice. Epistemic injustice is injustice occurring within the domain of knowledge (e.g., knowledge production and transmission), which typically impacts structurally marginalized social groups. In this paper, we argue that, as they currently work, algorithms on social media exacerbate the problem of epistemic injustice and related problems of social distrust. In other words, we argue that algorithms on social media recreate and reify the conditions that lead to some groups being systematically denied the full status of knowers, thereby corrupting the epistemic terrain and, with it, systems of social trust and cooperation. We argue that algorithms do this in two ways—namely, via what we are calling algorithmic targeting and algorithmic sorting.

Sec-edge: Trusted blockchain system for enabling the identification and authentication of edge based 5G networks

The 5th generation 5G technology, also known as the 2020 telecommunications system, represents the next exciting phase of the evolution of telecommunications, with the recent successful distribution on nearly every continent. 5G is believed to bring multiple advancements such as greater transmission speeds, ultra-low latency, higher network capacity, etc. These advancements will directly support the industry-5.0 and Internet of Things (IoT) in the coming future. Today, IoT is one of the fastest-growing technologies because of its ability to deliver multiple applications across various devices. The emergence of 5G networks will be a major force for IoT development. Subsequently, Edge computing as an extension of cloud computing has emerged as a promising technology to empower 5G and IoT services due to its close vicinity to IoT Devices. However, specific challenging issues plague the integration of 5G, IoT, and Edge Computing, among which security is one of the biggest concerns. Recently, blockchain has been provided as a foundational and decentralized distributed ledger technology that can be used for solving the challenges of IoT, 5G, and Edge Computing integration. This paper proposes a trusted blockchain system for edge-based 5G networks that eliminates the limitations of integrating the Edge Computing, IoT, and 5G networks. The proposed blockchain system can efficiently identify the edge devices, authenticate the devices, and assign the addresses to the edge devices on a demand basis. Further, the proposed work also provides the secure communication among the edge devices that can protect from DDOS and Side-channel attacks.

Inspiring guests’ imagination of “home away from home” to choose Airbnb through brand storytelling

Purpose Airbnb attempts to stimulate consumer imagination and expectations of home through storytelling before their stay. The purpose of this study is to gain a holistic understanding of the psychological mechanisms by which brand storytelling can evoke consumer imagination of home away from home and their choice of peer-to-peer (P2P) accommodations. Design/methodology/approach By collecting 864 valid questionnaires through two rounds of surveys with Chinese consumers, this study examined the structural relations between narrative elements in the brand story (home characteristics, social interactions in advertising, advertising features), brand perception, self-image congruence and consumption intentions. Findings The results demonstrate that home characteristics, social interactions in advertising, and advertising features positively influence people’s brand perceptions, self-image congruence and consumption intentions through mental imagery processing. Practical implications This study offers helpful implications on how to create a home feeling in P2P accommodations and provides recommendations to promote the connection between consumers and the brand for P2P accommodation providers and hoteliers. Originality/value This study reveals the underlying mechanism of how various narrative elements in brand stories inspire the imagination and feeling of home in consumers during the prestay phase. By analysing the impact of specific trust systems and emotional needs on the construction of a feeling of home, this study is an important complement to existing studies on the study of home in P2P accommodation.

ПРАКТИЧЕСКИЙ ОПЫТ ПРИМЕНЕНИЯ ФСБУ 25/2018 "БУХГАЛТЕРСКИЙ УЧЁТ АРЕНДЫ" В РОССИЙСКОЙ ФЕДЕРАЦИИ

This article discusses the main practical ex- perience of using FSBU 25/2018 "LEASE ACCOUNTING" IN THE RUSSIAN FEDER- ATION. Serious application of IFRS may have a positive impact on those Russian companies that do not plan to enter the in- ternational (financial) markets in the near future. The effectiveness of the application of IFRS will lie in the fact that providing man- agers with information that will contribute to the competent treatment of the market and the investor will also not destroy, but only strengthen the system of corporate trust and behavior. The most effective application of IFRS in companies will be the owner, who does not have representatives in the com- pany's management and will not be forced to be content with information from the financial statements.

Blockchain-Based Trust and Reputation Management in SIoT

In the Social Internet of Things (SIoT), trust refers to the decision-making process used by the trustor (Service Requesters (SRs) or Service Consumers (SCs)) to decide whether or not to entrust the trustee (Service Providers (SPs)) with specific services. Trust is the key factor in SIoT domain. The designing of a two-way, two-stage parameterized feedback-based, service-driven, attacks-resistant trust and reputation system for SIoT accompanied by a penalty mechanism for dishonest SPs and SRs is our main contribution that mitigates the trust-related issues occurring during service provisioning and service acquisition amongst various entities (SPs or SRs) and enhances trust amongst them. Our proposed methodology examines a SP’s local trust, global trust, and reputation by taking into account “Social Trust” and “Quality of Service (QoS)” factors”. Two—Stage Parameterized feedback” is incorporated in our proposed strategy to better manage “intention” and “ability” of SRs and provides early identification of suspicious SRs. This feature compels SRs to act honestly and rate the corresponding SPs in a more accurate way. Our recommended paradigm sorts SPs into three SP status lists (White List, Grey List, and Black List) based on reputation values where each list has a threshold with respect to the maximum service fee that can be charged. SPs in White List charge the most per service. SPs in other lists have a lower selection probability. Every feedback updates the SP’s trust and reputation value. Sorting SPs increases resistance against On Off Attack, Discriminatory Attack, Opportunistic Service Attack, and Selective Behavior Attacks. SPs must operate honestly and offer the complete scope of stated services since their reputation value relies on all their global trust values (Tglobal) for various services. Service requests may be accepted or denied by SPs. “Temporarily banned” SRs can only request unblocked services. SRs lose all privileges once on a “permanently banned” list. If local and global trust values differ by more than the threshold, the SR is banned. Our method also provides resistance against Bad Mouthing Attack, Ballot Stuffing Attack. Good Mouthing Attack/Self—Propagating Attack. Experiments indicate our trust and reputation management system recognizes and bans fraudulent SRs. “Dishonest SPs” are “blacklisted,” which affects their reputation, trust, and service charges.

BTS: A Blockchain-Based Trust System to Deter Malicious Data Reporting in Intelligent Internet of Things

Recent developments in collection, computation and communication have expanded the way of data reporting in intelligent Internet of Things (IoT). However, diversity and complexity of data sources also impose new trust challenge in data collection process since untrust reporters tend to report false or even malicious data, which highlights the need to develop a novel methodology to solve such challenge. Thus, based on this domain, inspired by deterrence theory, this article proposes a blockchain-based trust system with assistant of drones to deter malicious data reporting in intelligent IoT. Specifically, to deter malicious data reporting, based on the blockchain technology, the data sensed by fully trusted drones is public published on blockchain showing participants the data standards, named as malicious deterrence scheme. This scheme provides a barrier for malicious reporters to arbitrarily publish false data to blockchain, since the false data can be easily detected while they cannot deny. Second, to further reduce malicious data reporting, a strict penalty mechanism is proposed to punish malicious reporters who have reported false data to blockchain to reduce the malicious data reporting in the following task through punishment. Third, note that the sensing of data standard generates additional costs, therefore, a drone flight route scheme based on a simper deep reinforcement learning with multihead attention mechanism (MA-DRL) is designed to reduce the flight distance for drones. Finally, extensive experiments demonstrate efficiency of our proposed system in terms of reducing malicious data reporting in advance as well as reducing drone flight distance.

A fine-grained intrusion protection system for inter-edge trust transfer

The phenomenal popularity of smart mobile computing hardware is enabling pervasive edge intelligence and ushering us into a digital twin era. However, the natural barrier between edge equipment owned by different interested parties poses unique challenges for cross-domain trust management. In addition, the openness of radio access and the accessibility of edge services render edge intelligence systems vulnerable and put sensitive user data in jeopardy. This paper presents an intrusion protection mechanism for edge trust transfer to address the inter-edge trust management issue and the conundrum of detecting indistinguishable malevolent nodes launching weak attacks. First, an inter-edge reputation transfer framework is established to leverage the trust quality of different edges to retain the accumulated trust histories of users when they roam in multi-edge environments structurally. Second, a fine-grained intrusion protection system is proposed to reduce the negative impact of attacks on user interactions and improve the overall trust quality and system security of edge intelligence services. The experimental results validate the effectiveness and superior performance of the proposed intrusion protection for edge trust transfer in securing, enhancing, and consolidating edge intelligence services.

Sinkhole Detection Using Probe Route Mechanism (SDPRM) For Internet of Things

Objective: To propose an Intrusion Detection System, called SDPRM (Sinkhole Detection using Probe Route Mechanism), to distinguish sinkhole assaults on the steering administrations in IoT. Methods: SDPRM intends to moderate unfriendly impacts initiate in IDS which troubled the routine tasks. The proposed architecture has the node ranker, notoriety and trust systems for recognition of assailants by examining the way of behaving of gadgets. Probe routing mechanism along with cluster configuration of the IoT gadgets are used to detect the SH attack. The probability density function is used to detect the behaviour of the gadgets present in the IoT environment. To demonstrate the efficiency of the proposed work Cooja simulator is used for experimentation. Findings: The proposed SDPRM is compared with the existing INTI architecture and it shows good results for detection rate and packet delivery ratio parameters. The comparative analysis is performed for static and mobility scenario. Novelty: In the existing architecture, probe route protocol was not used to detect the sinkhole attack in IoT environment. The current research work uses FIB (Forwarding Information Base) based proberouting mechanism is used for securing the communication channel. The proposed architecture outperforms than the existing INTI architecture in terms of detection rate and packet delivery ratio. Keywords: Internet of Things; Network security; Sinkhole attack; Proberoute; Beta distribution

Legal Protection Against Consumer on Online Transaction Fraud

In this modern era, technology is increasingly being utilized and used for various purposes, such as for conducting online transactions. Online transactions are increasingly being used by people because they are easy to use and can be done at any time. But on the other hand, violations of consumer rights still often occur due to fraud by business actors. Online transaction is virtually and between consumers and business actors don’t know each other, so the trust system becomes the main things in every online transaction and is very vulnerable to fraud. Indonesia has regulated consumer protection as stipulated in Law Number 8 of 1999 concerning Consumer Protection, the facts on the ground are that there are still many consumers who are harmed and don’t get justice. This study, it is expected to be able to answer the formulation of the problem, there is How is the legal view of Consumer Protection against online fraud victims and how to resolve disputes. This study uses a qualitative descriptive research method with a sociological juridical approach. The results of this study, although it is guaranteed by the Consumer Protection Act, many respondents do not get their rights to receive compensation and in terms of resolving consumer disputes or the parties concerned can take court or out of court according to the agreement of the parties, however alternative online dispute resolution can be implemented in full.

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks.

The scale of wireless sensor networks changes depending on specific application tasks. How to design a relatively simple security mechanism that can extend with the expansion of network scale is an arduous task. As the wireless sensor network mostly adopts the decentralized organization form, once the network nodes are distributed adequately, it is difficult to find out the failure of any node. In addition, the node has weak resistance to physical damage, so any node in the network may potentially become a cause of security vulnerability. In this study, firstly, the security standards that wireless sensor networks should have and the current security challenges faced by the network are discussed in detail, and the importance of security issues in wireless sensor networks is pointed out. Secondly, this paper studies and analyzes the current situation of wireless sensor network security problems including the internal and external attacks and the active and passive attacks. Thirdly, this paper also discusses the significance, concept, and characteristics of reputation and trust, the division and composition of reputation and trust system, and the common applications of the reputation and trust mechanism in wireless sensor networks.