A Taxonomy for Enterprise Architecture Analysis Research

Barbosa, Amanda Oliveira; Santana, Alixandre; Hacks, Simon; Stein, Niels von

doi:10.5220/0007692304930504

Cited by 16 publications

(12 citation statements)

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“…However, we cannot state the same for the resulting vision of the ecosystem. A solution to evaluate this, would be to split the existing MAL-based languages into two sets and use one for evaluation of the result [5]. Unfortunately, the number of existing MAL-based languages is too small so far.…”

Section: Discussionmentioning

confidence: 99%

Towards an Ecosystem of Domain Specific Languages for Threat Modeling

Hacks

Katsikeas

2021

Advanced Information Systems Engineering

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Today, many of our activities depend on the normal operation of the IT infrastructures that supports them. However, cyber-attacks on these infrastructures can lead to disastrous consequences. Therefore, efforts towards assessing the cyber-security are being done, such as attack graph simulations based on system architecture models. The Meta Attack Language (MAL) was previously proposed as a framework for developing Domain Specific Languages (DSLs) that can be used for the aforementioned purpose. Since many common components exist among different domains, a way to prevent repeating work had to be defined. To facilitate this goal, we adapt taxonomy building by Nickerson and propose an ecosystem of MAL-based DSLs that describes a systematic approach for not only developing, but also maintaining them over time. This can foster the usage of MAL for modeling new domains.

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Section: Discussionmentioning

confidence: 99%

Towards an Ecosystem of Domain Specific Languages for Threat Modeling

Hacks

Katsikeas

2021

Advanced Information Systems Engineering

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“…Additionally, we want to reuse existing EA models to avoid unnecessary effort for creating assets and their structure twice. 3 Design & Development: As foundation for our modeling, we rely on ArchiMate, since it is widespread and accepted [35], open source [10], and provides an open source tool support called Archi. Additionally, ArchiMate offers a well-documented, XML-based exchange format [36].…”

Section: Methodsmentioning

confidence: 99%

Creating Meta Attack Language Instances using ArchiMate: Applied to Electric Power and Energy System Cases

Hacks

Katsikeas

et al. 2019

2019 IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC)

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Cyber-attacks on power assets can have disastrous consequences for individuals, regions, and whole nations. In order to respond to these threats, the assessment of power grids' and plants' cyber security can foster a higher degree of safety for the whole infrastructure dependent on power. Hitherto, we propose the use of attack simulations based on system architecture models. To reduce the effort of creating new attack graphs for each system of a given type, domain-specific attack languages may be employed. They codify common attack logics of the considered domain. Previously, MAL (the Meta Attack Language) was proposed, which serves as a framework to develop domain specific attack languages. We extend the tool set of MAL by developing an approach to model security domains in ArchiMate notation. Next, those models are used to create a MAL instance, which reflects the concepts modeled in ArchiMate. These instances serve as input to simulate attacks on certain systems. To show the applicability of our approach, we conduct two case studies in the power domain. On the one hand, we model a thermal power plant and possible attacks on it. On the other hand, we use the attack on the Ukrainian power grid for our case study.

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“…), that might be needed for a possible further refinement of some parts of the proposed architecture and for future extensions and derived instantiations of the reference architecture. ArchiMate is also a commonly used modeling language and framework and perceived as the de facto standard for EA modeling [ 113 ].…”

Section: Reference Architecture Designmentioning

confidence: 99%

A Design of the Resilient Enterprise: A Reference Architecture for Emergent Behaviors Control

Bemthuis

Iacob

Havinga

2020

Sensors

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The sooner disruptive emergent behaviors are detected, the sooner preventive measures can be taken to ensure the resilience of business processes execution. Therefore, organizations need to prepare for emergent behaviors by embedding corrective control mechanisms, which help coordinate organization-wide behavior (and goals) with the behavior of local autonomous entities. Ongoing technological advances, brought by the Industry 4.0 and cyber-physical systems of systems paradigms, can support integration within complex enterprises, such as supply chains. In this paper, we propose a reference enterprise architecture for the detection and monitoring of emergent behaviors in enterprises. We focus on addressing the need for an adequate reaction to disruptions. Based on a systematic review of the literature on the topic of current architectural designs for understanding emergent behaviors, we distill architectural requirements. Our architecture is a hybrid as it combines distributed autonomous business logic (expressed in terms of simple business rules) and some central control mechanisms. We exemplify the instantiation and use of this architecture by means of a proof-of-concept implementation, using a multimodal logistics case study. The obtained results provide a basis for achieving supply chain resilience “by design”, i.e., through the design of coordination mechanisms that are well equipped to absorb and compensate for the effects of emergent disruptive behaviors.

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A Taxonomy for Enterprise Architecture Analysis Research

Cited by 16 publications

References 0 publications

Towards an Ecosystem of Domain Specific Languages for Threat Modeling

Towards an Ecosystem of Domain Specific Languages for Threat Modeling

Creating Meta Attack Language Instances using ArchiMate: Applied to Electric Power and Energy System Cases

A Design of the Resilient Enterprise: A Reference Architecture for Emergent Behaviors Control

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