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SecFlow: Adaptive Security-Aware Workflow Management System in Multi-cloud Environments

SecFlow: Adaptive Security-Aware Workflow Management System ...

引用

Enterprise Design, Operations, and Computing (EDOC) Forum / IDAMS Workshop / SoEA4EE Workshop / IRESEARCH Workshop / MIDas4CS Workshop

作者： Soveizi, Nafiseh Turkmen, Fatih Univ Groningen Informat Syst Grp Groningen Netherlands

ISBN: (纸本)9783031547119;9783031547126

In this paper, we propose an architecture for a security-aware workflow management system (WfMS) we call SecFlow in answer to the recent developments of combining workflow management systems with Cloud environments and the still lacking abilities of such systems to ensure the security and privacy of cloud-based workflows. The SecFlow architecture focuses on full workflow life cycle coverage as, in addition to the existing approaches to design security-aware processes, there is a need to fill in the gap of maintaining security properties of workflows during their execution phase. To address this gap, we derive the requirements for such a security-aware WfMS and design a system architecture that meets these requirements. SecFlow integrates key functional components such as secure model construction, security-aware service selection, security violation detection, and adaptive response mechanisms while considering all potential malicious parties in multi-tenant and cloud-based WfMS.

关键词： Security-aware workflows Cloud-based workflows business and Scientific workflows Workflow Adaptation

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A Review on Privacy and Monetization Aspects Within BCI and XR-BCI Ecosystems 14th

A Review on Privacy and Monetization Aspects Within BCI and ...

引用

14th International Symposium on business Modeling and Software Design (BMSD)

作者： Lahtinen, Tuomo Costin, Andrei Suarez-Tangil, Guillermo Yousefnezhad, Narges Binare Io Jyvaskyla Finland Univ Jyvaskyla Jyvaskyla Finland IMDEA Network Inst Leganes Spain

ISBN: (纸本)9783031640728;9783031640735

The use of BCI and XR-BCI devices is yet to become more widespread among the general population. These devices could pose a significant risk to the users' privacy, as they enable the revelation of users' emotions, beliefs, and other potentially highly sensitive details. When this information is obtained, it is possible to both invade users' privacy as never before as well as monetize data very precisely through neuromarketing. This work presents a review of the privacy and monetization of BCI and XR-BCI. It was discovered that many companies collect a considerable amount of data without knowing or revealing the actual purpose of the collection. This data includes sensitive information about health. One of the future risks is that emotions and generic raw brain-wave data are leaked to advertisers through neuromarketing, which is considered a valuable asset for advertisers, e.g., to reveal a person's willingness to buy something. We urge the need to evaluate the current privacy policies and terms of service of BCIs and XR-BCIs against existing frameworks such as the General Data Protection Regulation (GDPR).

关键词： Sensitive data

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Carbon Footprint Calculations for a Software Company - Adapting GHG Protocol Scopes 1, 2 and 3 to the Software Industry 14th

Carbon Footprint Calculations for a Software Company - Adapt...

引用

14th International Conference on Software business (ICSOB)

作者： Sipila, Antti Partanen, Laura Porras, Jari TIEKE Helsinki Finland LUT Univ Lappeenranta Finland Aalto Univ Helsinki Finland Univ Huddersfield Huddersfield W Yorkshire England

ISBN: (纸本)9783031532269;9783031532276

Through non-financial reporting, such as CSRD, carbon footprint calculations are becoming mandatory in the software industry. The golden standard for reporting CO2 emissions is based on the Greenhouse Gas (GHG) Protocol and its scopes 1, 2, and 3. However, as a producer of purely digital products, the software industry differs from traditional industries in its carbon footprint. The software industry value chain relies heavily on an infrastructure that can contribute most of its emissions. It has been recognized that there is a need for an industry-customized carbon emissions model that considers the software industry's peculiarities. The primary goal of this study is to define the main sources of climate impacts in the software industry and propose a model of the GHG Protocol adaptation to software companies. This research has been done in our Green ICT project and is based on interviews done in that project. The data for this research was collected from five software companies with different demographics and business models. The interviews, with a total amount of 14, were conducted between November 2022 andMarch 2023 during a service design process of an automated tool that facilitates green transition in software companies. The analysis of the interviews was supplemented with the results from four multistakeholder workshops conducted during the service design process, as well as with the analysis of a series of webinars around the topic. As a result of the study, the Software Company Scopes model for the primary sources of greenhouse gas emissions in the software company and its value chain was created, and the GHG Protocol was tailored to the needs of the software industry. Thus, considering its industry-specific peculiarities, we may conclude that the GHG Protocol can be applied to the software industry.

关键词： Software Company Greenhouse Gas Reporting

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Understanding SBOMs in Real-World Systems - A Practical DevOps/SecOps Perspective 14th

Understanding SBOMs in Real-World Systems - A Practical DevO...

引用

14th International Symposium on business Modeling and Software Design (BMSD)

作者： Yousefnezhad, Narges Costin, Andrei Binare Oy Jyvaskyla Finland Univ Jyvaskyla Jyvaskyla Finland

ISBN: (纸本)9783031640728;9783031640735

Vulnerabilities in third-party and open-source components pose significant risks to numerous systems, as evidenced by recent incidents like the XZ backdoor. Software Bill of Materials (SBOM) serves as a vital tool for identifying and isolating such vulnerabilities, and in some cases, it is a legally-mandated requirement to enhance supply-chain security within the digital ecosystem (e.g., Executive Order 14028). Despite its significant benefits, there are limitations in generating, using, and interpreting SBOMs effectively. In this paper, we aim to take an objective look on the state-of-the-art cybersecurity tools, particularly examining their contributions to or challenges from the practical SBOM perspective. The insights we present help improve existing tools and their usage in DevSecOps and compliance scenarios to maximize the effectiveness of SBOM standardization and requirements.

关键词： SBOM software bill of materials DevOps DevSecOps software supply-chain supply-chain security

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Towards a Knowledge Base of Terms on Enterprise Architecture Debt

Towards a Knowledge Base of Terms on Enterprise Architecture...

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Enterprise Design, Operations, and Computing (EDOC) Forum / IDAMS Workshop / SoEA4EE Workshop / IRESEARCH Workshop / MIDas4CS Workshop

作者： Slupczynski, Ada Hacks, Simon Rhein Westfal TH Aachen Aachen Germany Stockholm Univ Stockholm Sweden

ISBN: (纸本)9783031547119;9783031547126

The term Enterprise Architecture (EA) Debt has been coined to grasp the difference between the actual state of the EA and its hypothetical, optimal state. Since its first definition in 2019, different theses have been conducted on the topic, and different articles have been published working on and with the term EA Debt. Consequently, using different terms has evolved to describe different phenomena within the domain. Due to the different authors involved in this development, perceiving these terms might differ. To avoid misunderstandings and to ease common understanding of the domain, we propose an ontology for the domain of EA Debt. We rely on a lightweight methodology for rapid ontology engineering (UPON light) and the Unified Foundational Ontology (UFO) to engineer our ontology.

关键词： Enterprise Architecture Debt Ontology Knowledge Base

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Backers' Preferences in Crowdfunding Projects: Field Experiments Based on Project Characteristics 1

引用

23rd Wuhan International Conference on E-business (WHICEB)

作者： Tian, Ziyi Wang, Nianxin Jiangsu Univ Sci & Technol Zhenjiang 212100 Jiangsu Peoples R China

ISBN: (数字)9783031602603

ISBN: (纸本)9783031602597;9783031602603

How to attract backers in the process of crowdfunding has always been a research hotspot. However, the existing research ignores that the key to solve this problem is to clarify the preference type of backers, and lacks discussion on the influence mechanism of backers' preferences. Therefore, this paper takes backers' preferences as the research object and combines the existing literature to propose hypotheses on the relationship between risk level, innovation type and backers' preferences. Inter-group experimental design was adopted to explore the difference of backers' preferences and influencing factors among different crowdfunding projects through field experiments. The results show that risk level and innovation type have significant influence on backers' preferences. The effects of two types of characteristics can be reflected in investing, following and forwarding intention. The interaction effect between two types of characteristics only exists in forwarding intention. The research results reveal the reasons for the difference in backers' preferences, which supplementing and improving the understanding of the hidden connection between backers' preferences and project characteristics. Moreover, these results help creator adjust their projects to meet backers' preferences and reduce the cost of time and money for backers.

关键词： Crowdfunding Backers' preferences Risk level Innovation type

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Adaptation of Enterprise Modeling Methods for Large Language Models 16th

Adaptation of Enterprise Modeling Methods for Large Language...

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16th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM) - Enterprise Modeling in the Circular Economy

作者： Barn, Balbir S. Barat, Souvik Sandkuhl, Kurt Middlesex Univ London England Tata Consultancy Serv Res Pune Maharashtra India Univ Rostock Rostock Germany

ISBN: (纸本)9783031485824;9783031485831

Large language models (LLM) are considered by many researchers as promising technology for automating routine tasks. Results from applying LLM in engineering disciplines such as Enterprise Modeling also indicate potential for the support of modeling activities. LLMs are fine-tuned for specific tasks using chat based interaction through the use of prompts. This paper aims at a detailed investigation of the potential of LLMs in Enterprise Modeling (EM) by taking the perspective of EM method adaptation of selected parts of the modeling process within the context of using prompts to interrogate the LLM. The research question addressed is: What adaptations in EM methods have to be made to exploit the potential of prompt based interaction with LLMs? The main contributions are (1) a meta-model for prompt engineering that integrates the concepts of the modeling domain under consideration with the notation of the modeling language applied and the input and output of prompts, (2) an investigation into the general potential of LLM in EM methods and its application in the 4EM method, and (3) implications for enterprise modeling methods.

关键词： Enterprise Modeling Large Language Model Modeling Method ChatGPT Prompt meta-model

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What Is the Cost of AI Ethics? Initial Conceptual Framework and Empirical Insights 14th

What Is the Cost of AI Ethics? Initial Conceptual Framework ...

引用

14th International Conference on Software business (ICSOB)

作者： Kemell, Kai-Kristian Vakkuri, Ville Univ Helsinki Dept Comp Sci Pietari Kalmin Katu 5 Helsinki 00560 Finland Univ Vaasa Sch Mkt & Commun Wolffintie 32 Vaasa PL 700 FI-65200 Vaasa Finland

ISBN: (纸本)9783031532269;9783031532276

AI ethics has become a common topic of discussion in both media and academic research. Companies are also increasingly interested in AI ethics, although there are still various challenges associated with bringing AI ethics into practice. Especially from a business point of view, AI ethics remains largely unexplored. The lack of established processes and practices for implementing AI ethics is an issue in this regard as well, as resource estimation is challenging if the process is fuzzy. In this paper, we begin tackling this issue by providing initial insights into the cost of AI ethics. Building on existing literature on software quality cost estimation, we draw parallels between the past state of quality in Software Engineering (SE) and the current state of AI ethics. Empirical examples are then utilized to showcase some elements of the cost of implementing AI ethics. While this paper provides an initial look into the cost of AI ethics and useful insights from comparisons to software quality, the practice of implementing AI ethics remains nascent, and, thus, a better empirical understanding of AI ethics is required going forward.

关键词： Ethics Machine learning Cost estimation Software engineering Artificial intelligence

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Starting Collaborations Between SMEs and Researchers in Software Engineering 14th

Starting Collaborations Between SMEs and Researchers in Soft...

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14th International Conference on Software business (ICSOB)

作者： Rico, Sergio Dobslaw, Felix Oberg, Lena-Maria Mid Sweden Univ Dept Commun Qual Management & & Informat Syst Ostersund Sweden

ISBN: (纸本)9783031532269;9783031532276

In software engineering research, academia-industry collaboration is predominantly understood as partnerships between academic institutions and large companies. Small and Medium-sized Enterprises (SMEs) are vital contributors to the industry, and they are numerous. Their unique preconditions and challenges differentiate their collaboration dynamics from larger corporations. We seek to identify guiding principles and practices for initiating collaborations between researchers and SMEs. Through a meta-synthesis approach drawn from two systematic literature reviews, we introduce a collaborative model canvas. This emphasizes the importance of SMEs' business contexts and the relationships between researchers and SMEs. Our research offers insights for those looking to collaborate with SMEs, considering potential challenges and limitations.

关键词： industry collaboration SMEs software engineering

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business and Ethical Concerns in Domestic Conversational Generative AI-Empowered Multi-robot Systems 14th

Business and Ethical Concerns in Domestic Conversational Gen...

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14th International Conference on Software business (ICSOB)

作者： Rousi, Rebekah Samani, Hooman Makitalo, Niko Vakkuri, Ville Linkola, Simo Kemell, Kai-Kristian Daubaris, Paulius Fronza, Ilenia Mikkonen, Tommi Abrahamsson, Pekka Univ Vaasa Wolffintie 32 Vaasa 65200 Finland Univ Arts London 272 High Holborn London WC1V 7EY England Univ Jyvaskyla Mattilanniemi 2 Jyvaskyla 40100 Finland Univ Helsinki Yliopistonkatu 4 Helsinki 00100 Finland Free Univ Bozen Bolzano Sparkassenstr 21Via Cassa Risparmio 21 I-2139100 Bolzano Italy Univ Tampere Pohjoisranta 11A Pori 28100 Finland

ISBN: (纸本)9783031532269;9783031532276

business and technology are intricately connected through logic and design. They are equally sensitive to societal changes and may be devastated by scandal. Cooperative multi-robot systems (MRSs) are on the rise, allowing robots of different types and brands to work together in diverse contexts. Generative artificial intelligence has been a dominant topic in recent artificial intelligence (AI) discussions due to its capacity to mimic humans through the use of natural language and the production of media, including deep fakes. In this article, we focus specifically on the conversational aspects of generative AI, and hence use the term Conversational Generative artificial intelligence (CGI). Like MRSs, CGIs have enormous potential for revolutionizing processes across sectors and transforming the way humans conduct business. From a business perspective, cooperative MRSs alone, with potential conflicts of interest, privacy practices, and safety concerns, require ethical examination. MRSs empowered by CGIs demand multi-dimensional and sophisticated methods to uncover imminent ethical pitfalls. This study focuses on ethics in CGI-empowered MRSs while reporting the stages of developing the MORUL model.

关键词： Multi-robot cooperation business Ethics Conversational Generative AI Large Language Models

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