A Method to Explore Product Risk in Product Lifecycle Management of Configured Products

Castaneda, Riascos; Ostrosi,; Majić,; Stjepandić,; Sagot, Jean‐Claude

doi:10.1017/dsd.2020.318

Cited by 6 publications

(2 citation statements)

References 24 publications

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“…Security-focused configuration management (SecCM) is the management and control of secure configurations for an information system to enable security and facilitate the management of risk [3,21], which is still a subset of the overall configuration management process. The security-focused configuration management process is vital in maintaining a secure state during organizational operational management, ensuring that risks are properly assessed and changes are authorized to proceed, and managing a reliable and updated change record that is always available for auditing and accounting purposes.…”

Section: Definitions and Value Of Configuration Managementmentioning

confidence: 99%

Blockchain-Based Security Configuration Management for ICT Systems

Chatziamanetoglou

Rantos

2023

Electronics

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The world has become increasingly dependent on large-scale and distributed information and communication technology (ICT) infrastructures and systems in sectors such as energy, transport, banking, healthcare, water supply, and digital services, while their protection is considered of paramount importance and has already drawn remarkable attention from governments and key industry players. Establishing common approaches by leveraging existing frameworks and cyber security practices for improving the security postures of those systems is one of the major objectives for ensuring an adequate level of protection and avoiding the detrimental effects of disruptions on society and citizens. Configuration management (CM) is one of those common practices for establishing and maintaining the integrity and consistency of a system and its elements with regard to the function, performance, and status of technical and physical attributes, and it contributes to a desirable security posture throughout the lifecycle of a system. This study addresses the importance of CM, and while considering the corresponding frameworks, standards, and best practices, it proposes a permissioned blockchain-based approach, that inherits the benefits of the blockchain technology and ensures the integrity of the systems’ configuration across the complete lifecycle management of its products and services as an underlying model for mapping and integrating CM functions. Furthermore, this study briefly presents the benefits and challenges of the application of permissioned blockchain models and proposes a smart-contract-based role-based access control mechanism, in addition to presenting an operating concept based on brief but real-life lifecycle requirements of organizational configuration management.

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Section: Definitions and Value Of Configuration Managementmentioning

confidence: 99%

Blockchain-Based Security Configuration Management for ICT Systems

Chatziamanetoglou

Rantos

2023

Electronics

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“…The use of Monte-Carlo simulations and historical data to make a better-informed decision based on risks in product design is presented in [58]. Another recent research remarks on the use of Product Lifecycle Management and Computer-Aided Design (CAD) tools to identify product design risks during the design stage, considering changes to the CAD [59].…”

Section: Risk Assessment In Pd a Literature Reviewmentioning

confidence: 99%

PFDA-FMEA, an Integrated Method Improving FMEA Assessment in Product Design

et al. 2021

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Product Design (PD) currently faces challenges in new product development, since the industry is in a rush to introduce new products into the market, with customers demanding products that are faster, cheaper, and free from failure. In addition, global companies are trying to improve their product design risk assessment process to gain advantages over competitors, using proven tools like Failure Mode and Effect Analysis (FMEA) and mixing risk assessment methods. However, with current risks assessment tools and a combination of other methods, there is the opportunity to improve risk analysis. This document aims to reveal a novel integrated method, where FMEA, Pythagorean Fuzzy Sets (PFS), and Dimensional Analysis (DA) are cohesive in one model. The proposed method provides an effective technique to identify risks and remove uncertainty and vagueness of human intervention during risk assessment using the Failure Mode and Effect Analysis method. A real-life problem was carried out to illustrate the proposed method. Finally, the study was substantiated by using a correlation and sensitivity analysis, demonstrating the presented integrated method’s usefulness in decision-making and problem-solving.

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