Trust Management Research Articles

Privacy-preserving trust management method based on blockchain for cross-domain industrial IoT

The Industrial Internet of Things (IIOT) contains many devices from different autonomous domains (e.g., factories), which need to cooperate to complete complex manufacturing process. Devices from different domains collaborate with each other, which greatly raises trust concerns about device-to-device interactions. Existing trust management approaches may result in the risk of privacy leakage and low accuracy of trust evaluation. Thus, trust issues during interaction remain unsolved but imperative. In this paper, we propose a blockchain-based privacy-preserving trust management architecture PPTMA. Specifically, PPTMA adopts federated learning to train a task-specific trust model for different collaborative task. Our work is the first attempt to research the relationship between the weight calculation of trust metric and the change of context in the field of trust management. To preserve the privacy of devices, differential privacy (DP) is exploited during the trust evaluation process. In addition, a game theory-based incentive mechanism is proposed to encourage the IIOT device for actively and honestly submitting the trust data into the blockchain as so to promote the accuracy of trust computing. Finally, we also design a parallel consensus protocol (OPBFT) which realizes an assembly line to speed up the efficiency of the consensus process. The idea of consensus assembly line firstly proposed by us brings new opportunities for improving the consensus efficiency. Extensive experiments have been conducted to show the effectiveness and efficiency of the proposed method.

DoSRT: A Denial-of-Service Resistant Trust Model for VANET

Abstract The Denial of Service (DoS) attack threatens the availability of key components of Vehicular Ad-hoc Network (VANET). Various centralized and decentralized trust-based approaches have been proposed to secure the VANET from DoS attack. The centralized approach is less efficient because the attack on the central trust manager leads to the overall failure of services. In comparison, the cluster-based decentralized approach faces overhead because of frequent changes in cluster members due to the high speed of the vehicles. Therefore, we have proposed a cluster-based Denial-of-Service Resistant Trust model (DoSRT). It improves decentralized trust management using speed deviation-based clustering and detects DoS attack based on the frequency of messages sent. Through performance evaluation, we have found that DoSRT improves precision, recall, accuracy, and F-Score by around 19%, 16%, 20%, and 17% in the presence of 30% DoS attackers.

Implementation of a Multi-Approach Fake News Detector and of a Trust Management Model for News Sources

Implementation of a Multi-Approach Fake News Detector and of a Trust Management Model for News Sources

Interventions to address unprofessional behaviours between staff in acute care: what works for whom and why? A realist review

BackgroundUnprofessional behaviour (UB) between staff encompasses various behaviours, including incivility, microaggressions, harassment, and bullying. UB is pervasive in acute healthcare settings and disproportionately impacts minoritised staff. UB has detrimental effects on staff wellbeing, patient safety and organisational resources. While interventions have been implemented to mitigate UB, there is limited understanding of how and why they may work and for whom.MethodsThis study utilised a realist review methodology with stakeholder input to improve understanding of these complex context-dependent interventions. Initial programme theories were formulated drawing upon scoping searches and reports known to the study team. Purposive systematic searches were conducted to gather grey and published global literature from databases. Documents were selected if relevant to UB in acute care settings while considering rigour and relevance. Data were extracted from these reports, synthesised, and initial theories tested, to produce refined programme theories.ResultsOf 2977 deduplicated records, 148 full text reports were included with 42 reports describing interventions to address UB in acute healthcare settings. Interventions drew on 13 types of behaviour change strategies and were categorised into five types of intervention (1) single session (i.e. one off); (2) multiple session; (3) single or multiple sessions combined with other actions (e.g. training sessions plus a code of conduct); (4) professional accountability and reporting programmes and; (5) structured culture change interventions. We formulated 55 context-mechanism-outcome configurations to explain how, why, and when these interventions work. We identified twelve key dynamics to consider in intervention design, including importance of addressing systemic contributors, rebuilding trust in managers, and promoting a psychologically safe culture; fifteen implementation principles were identified to address these dynamics.ConclusionsInterventions to address UB are still at an early stage of development, and their effectiveness to reduce UB and improve patient safety is unclear. Future interventions should incorporate knowledge from behavioural and implementation science to affect behaviour change; draw on multiple concurrent strategies to address systemic contributors to UB; and consider the undue burden of UB on minoritised groups.Study registrationThis study was registered on the international database of prospectively registered systematic reviews in health and social care (PROSPERO): https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021255490.

Strategies for efficient resource management in federated cloud environments supporting Infrastructure as a Service (IaaS)

The increased market activity and visibility have resulted in a growing demand for additional computer resources to meet the needs of cloud clients. Delivering promised quality of service (QoS) while fulfilling diverse resource demands dynamically might be difficult for a single Cloud Service Provider (CSP). Federated cloud computing, also known as distributed cloud computing, is an established paradigm in which CSPs collaborate to aggregate unused resources, resulting in financial and QoS benefits. Notably, this strategy improves availability and reliability while overcoming individual CSP difficulties in preserving QoS amid fluctuations in resource demand. The federated cloud successfully leverages computing resources even during low-demand periods, demanding a comprehensive resource management strategy for Infrastructure as a Service (IaaS) inside participating CSPs. Such a strategy is crucial for preserving QoS, ensuring availability and dependability, and optimizing underutilized computing resources. This research presents the novel IaaS cloud design, revealing a unique methodology that reimagines traditional cloud systems. The proposed IaaS cloud framework investigates virtual machine migration and resource consolidation, building a strong foundation founded on IaaS principles and emphasizing the crucial role of virtualization. The technique introduces ground-breaking concepts such as Cloud User (CU) and Reputation Management, which are strengthened by specific algorithms that improve cloud service security and trust. Furthermore, the combination of Trust Manager (TM) and Broker Manager (BM) components strengthens SLA control and trust evaluation, aligning smoothly with IaaS standards to improve service quality and reliability. User Profiling, which is classified into private, social, and corporate profiles, provides a separate lens for successful cloud user management inside the IaaS landscape, allowing for customised service delivery. SMI and cutting-edge ranking algorithms, such as the Deep Q-based Algorithm, optimize cloud service provider selection and ranking—an important aspect of IaaS. The use of the Banker's algorithm and a comprehensive Service Level Agreement (SLA) Management plan provides efficient resource allocation, mirroring recognized IaaS standards. This research study not only throws light on these trailblazing techniques, but it also establishes a new standard for IaaS cloud design and resource management.

Evaluation of circular skills and circular mind-set of consumers with the use of it - case study in a sample of consumers in northeast Brazil compared to a sample of internal stakeholders of an industry in transition to the circular economy

The circular economy concept has spread around the world, including Europe and Latin America. It is defined as a concept that led to a rethinking of economic and sustainable practices today and is inspired by the functioning of ecosystems and nature. It is innovation and design that are inseparable from products and systems, in the context of sustainable development. It is based on the principle of “closing the life cycle” of products, allowing a reduction in the consumption of raw materials, energy, and water. It promotes the development of new relationships between companies, which become consumers and suppliers of materials and are reincorporated into the production cycle. Several Circular Economy goals have already been achieved in the field of research, science, and technology. Numerous studies and efforts have been performed in the scientific and technological area for searching solutions to overcome legal, regulatory, political and technological barriers posed by several institutions; among them, the pioneering Ellen Mac Arthur Foundation has been joining efforts over the years in improving the conception and operation of the circular economy, applied to industrial processes and production chains, as well as in the structuring of new technological ecosystems. For every achievement, new challenges arise for the Circular Economy, which now needs to gain the trust of managers, politicians, investors, and entrepreneurs to initiate, plan and manage the circular economy in industry and companies. Consumers present challenges that need to be overcome by offering differentiated products and services. The objective of the work reported here was to identify mental and cultural barriers, which can generate various obstacles to the development of Circular Economy and Environmental Social Governance (ESG, such as climate change, pollution, and human resource management) issues and find ways and guidelines to resolve the problem. When investigating mentality, culture and skills for the Circular Economy, there are several possibilities to contribute to the construction of knowledge applied to the reality of companies and consumers, carrying out pilot studies in Industries with the method expressly created and oriented towards the “integrated assessment of competence", with the objective of planning and implementing the circular economy. It is based on the identification of mental models, on psychological aspects that are in line with the transition to the Circular Economy.” This method is reported here and has been used to collect data for the author's doctoral thesis. As a tool, the information platform was used, with FlashPlayHR® software (www.flashplayhr.com.br/#). bilingual, in Portuguese and English, and was developed with the aim of helping leaders, employees and stakeholders to better understand the complex systems developed through innovation in the Circular Economy. It is based on the assessment of mental models from linear to circular, as well as in identifying skills to operate with circular models. The case studies presented here included an electronics recovery and recycling industry located in São Paulo – Brazil in 2022 and a group of internet users. The study defines circular guidelines based on mindset, generating data for systemic, tactical, and operational planning, with interaction between technology and humans. The method provided the mapping/diagnosis of each employee and the organization's human system, defining the stages of the process “from linear to circular,” generating content for conducting systemic planning. One of the fundamental aspects of the method is to support the strategic human resources area of organizations, providing conditions for creating constructive interaction and integration with other areas of the industry to build a Systemic Corporate Governance Model., in addition to data and content for the development of circular programs and actions. The systems view becomes preponderant and fundamental for planning. The method/software was applied to two groups of people: one more focused on circular economy in the context of an electronic recovery industry, and another more distant from circular economy concepts, formed by Internet users. The methodology applied to the electronic retrieval industry and a random group of Internet users is reported here in detail. It was possible to identify the “linear to circular” stage of the industry to achieve the circular model.

A survey of security, privacy and trust issues in vehicular computation offloading and their solutions using blockchain.

Continuous improvement in transportation systems and smart vehicles' appearance make new highly intensive applications. Complex applications need high-performance capabilities, real-time responses, and generate massive amounts of data to process and exchange. This presents the idea of vehicular edge computing (VEC), which is proposed to handle complex applications and satisfy smart vehicle processing requirements. VEC enables computation offloading to an edge server to reduce communication latency, execution cost and energy consumption greatly. However, offloading to another node opens up new vulnerabilities regarding security and privacy. Moreover, trust issues in such an untrustworthy environment need an effective trust management solution and incentive mechanisms to improve overall security. This will increase the computation offloading success rate and the vehicles' willingness to share their resources. Particularly given the high transportability and heterogeneity of vehicular networks, the conventional security and trust management methods are inadequate. Blockchain, the rapidly emerging trend technology, is a unique solution that can help overcome security and privacy issues and meet trust management and incentive mechanism goals. Blockchain's immutable distributed ledger, traceability, consensus validation system and smart contract features can improve vehicular network security. Although most research is focused on enhancing the performance of computation offloading algorithms, blockchain security solutions in computation offloading scenarios are not fully discussed. Thus, security and trust issues related to computation offloading in VEC environments need more consideration since supporting the new complex vehicular applications is essential. Therefore, this paper provides a review of recent surveys and studies, an overview of VEC, computation offloading and blockchain, in addition to discussing security, privacy and trust in vehicular networks and computation offloading while considering blockchain as a distributed security solution. We propose a new paradigm called blockchain edge of vehicle (BEoV) at the end, which enables several blockchain-based security services for vehicular computation offloading in particular.

Social trust and corporate qualitative disclosure: evidence from tone management in MD&A

ABSTRACT Our study explores the association between province-level social trust and tone management in Management’s Discussion and Analysis (MD&A). We argue that a firm’s regional social trust is negatively associated with tone management because it creates norms and networks to discipline managers’ opportunistic behaviors. By exploring Chinese listed firms, we find that firms in provinces with higher social trust engage in less tone management. Our finding suggests that social trust serves as a mechanism to constrain tone management. While prior studies find that social trust disciplines quantitative disclosure, such as accounting numbers, our study suggests that this disciplining effect also applies to qualitative disclosure.

THE ISSUES OF HIGHER EDUCATION FINANCING MANAGEMENT IN THE RUSSIAN FEDERATION

The article analyzed the higher education financing system of the Russian Federation and highlighted the issues that limit the management and financing of higher education, strengthening and development, improving the quality of education and increasing the efficiency, competitiveness, financing and transparency of the higher education system in the Russian Federation.
 The study of the higher education management financing system in the Russian Federation shows that education financing has gaps and does not correspond to the current realities, so it is urgent to review the management of these problems. Although the Russian Federation joined the Bologna process in 2003 and is trying to transition to the new model, the problems revealed by this research reflect that there are still a number of obstacles in the management organization and implementation of higher education in the Russian Federation.
 It is recommended to use the application tool of financing university activities through the endowment, when with the investments of philanthropists and successful graduates, they create targeted funds that are handed over to trust management.

3R: A reliable multi agent reinforcement learning based routing protocol for wireless medical sensor networks

Interest in the Wireless Medical Sensor Network (WMSN) is rapidly gaining attention thanks to recent advances in semiconductors and wireless communication. However, by virtue of the sensitive medical applications and the stringent resource constraints, there is a need to develop a routing protocol to fulfill WMSN requirements in terms of delivery reliability, attack resiliency, computational overhead, and energy efficiency. This paper proposes 3R, a reliable multi agent reinforcement learning routing protocol for WMSN. 3R uses a novel resource-conservative Reinforcement Learning (RL) model to reduce the computational overhead, along with two updating methods to speed up the algorithm convergence. The reward function is re-defined as a punishment, combining the proposed trust management system to defend against well-known dropping attacks. Furthermore, an energy model is integrated with the reward function to enhance the network lifetime and balance energy consumption across the network. The proposed energy model only uses local information to avoid the resource burdens and the security concerns of exchanging energy information. Experimental results prove the lightweightness, attacks resiliency and energy efficiency of 3R, making it a potential routing candidate for WMSN.

Internal auditor's interpersonal trust building: the Israeli public sector

PurposeThis paper investigate the antecedents of the public sector's senior management in interpersonal trust relationships involving sceptical internal audits in public services administrations. This is fundamental for a positive audit, as it affects the auditing relationship and assures a sound public administration.Design/methodology/approachThe author surveyed 261 senior management from 24 Israel's local authorities (about 30%), representing large, medium and small administrations in Israel's North District.FindingsThe results indicate that senior management's antecedents to trust sceptically minded internal audits are positive for audit knowledge sharing. Findings also reveal that the internal auditor's ability, integrity and benevolence significantly impact senior management's trust. Whereas open communication does not significantly affect the senior management's propensity to trust, its satisfaction with its internal auditor fosters positive trust and support.Practical implicationsUnderstanding the antecedents of the senior public manager on internal audit benefits the audit outcomes. Albeit audit professional scepticism's interpersonal trust relationship with senior public manager influences the audit. Audits efficiently related to organisational culture and outcomes.Originality/valueA new practical model of senior management trust antecedents is presented for a more effective auditing system and public administration. The model is original, as no other empirical studies have yet dealt with senior management's trust in internal audits in the public sector.

The impact of transformational leadership on enhancing organizational trust: Moderating role of empowerment

Worker empowerment is one of the main objectives of any organization. The purpose of the current study is to examine the impact of transformational leadership on organizational trust (trust in coworkers, trust in organization management, and trust in supervisors). In addition, it examines whether workers’ empowerment moderates the mentioned impact. An analytical descriptive approach was adopted, and a survey collected relevant data. A stratified random sample included 294 department managers, branch managers, and heads of departments who work in Jordanian telecommunications companies (Zain, Orange, and Umniah). The study employed SPSS and AMOS 21 for data analysis and hypotheses testing. The paper revealed a significant impact of transformational leadership on organizational trust, except for the ideal influence and inspirational motivation dimensions. Furthermore, workers’ empowerment significantly moderates the impact of transformational leadership on organizational trust at Jordan’s telecommunications companies (Zain, Orange, and Umniah). The study recommends improving transformational leadership methods in telecom businesses as one of the most critical administrative leadership techniques. It is vital to ensure the continuation of telecom business leaders in these companies to foster organizational trust between company workers and administrative leaders. Additionally, future studies should find new funding sources, identify practical ways to put strategies into practice for intellectual stimulation and arousal in these companies, and conduct more studies on transformational leadership, organizational trust, and empowerment.

“The Dream Team:” A Case Study of Teamwork in Higher Education

The integration of collaborative practices in essay writing within higher education constitutes a pivotal advantage, frequently producing outcomes surpassing those of independent composition endeavors. However, although collaboration is necessary and can yield many positive outcomes, a collaborative effort is not always successful. A paucity of empirical studies has highlighted the causes of the dysfunctions of teamwork in Jamaica. In higher education, participants often express frustration and unwillingness to engage in teamwork because of the various dysfunctions they are likely to experience. Consequently, in response to this gap, this case study explored both functional and dysfunctional attributes Academic Writing participants encountered at a university in Jamaica, as they worked collaboratively to complete their expository and argumentative essays. This mixed methods study collected data from interviews, peer reviews, and a questionnaire. The findings identified both functional and dysfunctional qualities. The results showed that the major functional attributes were clear communication, respect, commitment, and accountability. The main dysfunctional attributes were lack of trust, miscommunication, commitment, disrespect, and limited time management skills. Finally, this paper highlights best practices that educators can use to create and promote functional and effective teams in the teaching and learning environment.

Satellite Network Security Routing Technology Based on Deep Learning and Trust Management.

The conventional trust model employed in satellite network security routing algorithms exhibits limited accuracy in detecting malicious nodes and lacks adaptability when confronted with unknown attacks. To address this challenge, this paper introduces a secure satellite network routing technology founded on deep learning and trust management. The approach embraces the concept of distributed trust management, resulting in all satellite nodes in this paper being equipped with trust management and anomaly detection modules for assessing the security of neighboring nodes. In a more detailed breakdown, this technology commences by preprocessing the communication behavior of satellite network nodes using D-S evidence theory, effectively mitigating interference factors encountered during the training of VAE modules. Following this preprocessing step, the trust vector, which has undergone prior processing, is input into the VAE module. Once the VAE module's training is completed, the satellite network can assess safety factors by employing the safety module during the collection of trust evidence. Ultimately, these security factors can be integrated with the pheromone component within the ant colony algorithm to guide the ants in discovering pathways. Simulation results substantiate that the proposed satellite network secure routing algorithm effectively counters the impact of malicious nodes on data transmission within the network. When compared to the traditional trust management model of satellite network secure routing algorithms, the algorithm demonstrates enhancements in average end-to-end delay, packet loss rate, and throughput.

A Policy-Hiding Attribute-Based Access Control Scheme in Decentralized Trust Management

Internet of Medical Things (IoMT) technologies significantly improve the quality of health care, especially at the time when COVID-19 is becoming a worldwide pandemic. Due to the complexity of devices and user nodes in the IoMT system, there should be some ways to ensure the security and quality of the service or information. Decentralized trust management techniques are efficient means of promoting application security and reliability in these cases. However, the majority of currently utilized access control schemes cannot be applied in decentralized trust management systems or perform poorly owing to the numerous restrictions of decentralized systems. In this paper, we present a policy-hiding and multi-authority key generation CP-ABE scheme (PM-CPABE) for decentralized trust management systems, which could provide fine-grained access control capabilities. Meanwhile, the proposed scheme does not require any fully trusted entity, thus it can be well adapted to decentralized trust management systems. The scheme also implements policy hiding to protect user privacy. In addition, it supports large universe and outsourced decryption. The security analyses and performance comparisons give evidence of our scheme is security and efficient.

Exploring Blockchain Research in Supply Chain Management: A Latent Dirichlet Allocation-Driven Systematic Review

Blockchain technology has emerged as a tool with the potential to enhance transparency, trust, security, and decentralization in supply chain management (SCM). This study presents a comprehensive review of the interplay between blockchain technology and SCM. By analyzing an extensive dataset of 943 articles, our exploration utilizes the Latent Dirichlet Allocation (LDA) method to delve deep into the thematic structure of the discourse. This investigation revealed ten central topics ranging from blockchain’s transformative role in supply chain finance and e-commerce operations to its application in specialized areas, such as the halal food supply chain and humanitarian contexts. Particularly pronounced were discussions on the challenges and transformations of blockchain integration in supply chains and its impact on pricing strategies and decision-making. Visualization tools, including PyLDAvis, further illuminated the interconnectedness of these themes, highlighting the intertwined nature of blockchain adoption challenges with aspects such as traceability and pricing. Despite the breadth of topics covered, the paper acknowledges its limitations due to the fast-evolving nature of blockchain developments during and after our analysis period. Ultimately, this review provides a holistic academic snapshot, emphasizing both well-developed and nascent research areas and guiding future research in the evolving domain of blockchain in SCM.

ISM- and MICMAC-based modelling of dairy supply chain: a study of enablers in Indian economy perspective

PurposeThis study aims at modelling the enablers of dairy supply chain (DSC) in Indian context.Design/methodology/approachInterpretive structural modelling (ISM) approach has been used to model the enabler of dairy supply chain. The opinion has been taken from the industry experts and experienced academicians. Further, Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) used to classify the enablers based on driving and dependence power.FindingsFindings show that stakeholder trust and top management support/leadership are the very crucial enablers in dairy supply chain; they are at a lower level of hierarchical structure and work as primary enablers to development of DSC. While customer satisfaction and financial performance are at top of the digraph, it shows these enablers are the outcome of a smooth supply chain. The MICMAC analysis suggests that the identified enablers are largely classified into dependent and independent enablers; there are no autonomous enablers in the dairy supply chain.Practical implicationsThe study can aid businesses in the dairy processing industry in managing demand fluctuations, enhancing product quality, implementing effective information systems and adapting procedures, thereby enhancing supply chain performance.Originality/valueThere is very limited study on enablers of the dairy supply chain in general, while in the Indian context, there is no specific study on modelling the enablers of dairy supply chain.

PDTM: A Provenance-Driven dynamic Trust Management model for IoVs

Internet of Vehicles (IoVs) play an essential role in traffic safety and travel efficiency. However, there is still risk where malicious vehicles without validation or evaluation, to tamper with messages and pollute network with compromised information. Upon fruitful computing resource in 6G, this paper proposes a Provenance-Driven dynamic Trust Management (PDTM) model for IoVs. PDTM integrates data provenance into the trust evaluation of vehicles and messages. Different from literature that only evaluates trust through vehicle, the high reliability of Road Side Unit (RSU) is concerned herein. Specifically, the recommendation trust is calculated by RSU, to eliminate false recommendations of malicious vehicles. Considering the dynamic and real-time nature of trust, this paper proposes a global-based threshold update mechanism. The mechanism can dynamically adjust the threshold, according to the trust value of vehicles. Simulation experiments verify the validity of PDTM in the detection rate of malicious vehicles and delivery rate of authentic messages.

A blockchain-empowered framework for decentralized trust management in Internet of Battlefield Things

The security of the Internet of Battlefield Things (IoBT) is greatly challenged by malicious intrusions from external environments. To protect IoBT from such intrusions, it is crucial to implement trust management (TM) at the node level. However, the decentralized and dynamic nature of IoBT means that participating nodes have no predetermined trust relationships. To address this issue, we propose a blockchain-empowered framework to achieve decentralized TM in IoBT. We begin by introducing a network model that integrates the space and ground segments with portable ping-pong stations. In the absence of fixed infrastructure, these stations enable rapid networking among combat units in IoBT. We also leverage these stations to form a blockchain network that manages decentralized trusts among IoBT nodes. Our blockchain-empowered TM framework consists of three algorithmic components: (i) Local Trust Computation: each IoBT node uses a local trust computation algorithm to compute the local trusts of its neighboring nodes; (ii) Global Trust Aggregation: portable ping-pong stations use a global trust aggregation algorithm to aggregate the global trusts of IoBT nodes; (iii) Blockchain Consensus Process: the global trusts of IoBT nodes are updated to the blockchain. We have also developed a new consensus algorithm that incentivizes blockchain nodes to proactively maintain the real trusts of IoBT nodes. We conducted several simulations incorporating different attack models of malicious nodes and system setups to comprehensively evaluate the performance of our TM framework. The simulation results demonstrate that our blockchain-empowered decentralized TM effectively suppresses the probability of successful attacks and thus improves the security of IoBT. In summary, our proposed framework offers a promising solution for achieving decentralized TM in IoBT, and we believe that it has the potential to significantly enhance the security of this rapidly developing field.

Design and validation of a scale of core components of community interventions in mental health.

To develop and validate an instrument to identify the core components of community strategies for mental health, especially mutual aid groups: The Mutual Aid Scale . 135 community strategies leaders participated in the study. The core components are active agency, coping strategies, recognition, and management of emotions, problem-solving strategies, supportive interaction, trust, self-identity construction, and strengthening of social networks. With these components a scale was designed. Content validity was carried out in addition to an exploratory factor analysis. Two dimensions resulted, strengthening of agency capacity and Coping strategies, and the internal consistency of both factors was acceptable, with a Cronbach's alpha of 0.722 and 0.727, respectively. The Kaiser-Meyer-Olkin (KMO) statistic was used with a score of 0.831 and the Barlett Sphericity Test, with a significant value of 265.175. This scale identifies the components of community interventions for mental health and can contribute to a better implementation of these strategies. It also articulates autonomous community processes with strategies developed in health services.