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International Conference on Automation, Quality and Testing, Robotics (AQTR)

作者： Chis, Andrei Stoica, Oliviu Ionut Ghiran, Ana-Maria Buchmann, Robert Andrei Babes Bolyai Univ Fac Econ & Business Adm OMILAB FSEGA Cluj Napoca Romania Babes Bolyai Univ Fac Econ & Business Adm Cluj Napoca Romania

ISBN: (纸本)9798350361940;9798350361933;9798350361919

data flow diagrams (DFD) have proven effective in designing and analyzing the flow of data in enterprise systems. They serve as indispensable tools for enterprises that are undergoing transition to cloud services. DFDs aid in understanding the current processes, identifying interfaces and integration points that require security measures. This paper reports a Design Science project to mitigate the cyber security threats at the design phase of a system and to perform auditing of an existing system through knowledge graphs. The proposal leverages knowledge gathered from various sources in a knowledge graph to identify semantic relationships and patterns, enabling automated inference, analysis and detection of vulnerability patterns. Furthermore, LLM-based (large language models) capabilities transform data management details captured as data flow diagrams (DFD) into knowledge graphs for semantic querying and improved decision support.

关键词： knowledge graphs security privacy data flow diagrams threat modeling LLMs

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Transforming data flow diagrams for Privacy Compliance 9th

Transforming Data Flow Diagrams for Privacy Compliance

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9th International Conference on Model-Driven Engineering and Software Development (MODELSWARD)

作者： Alshareef, Hanaa Stucki, Sandro Schneider, Gerardo Chalmers Univ Technol Gothenburg Sweden Univ Gothenburg Gothenburg Sweden

ISBN: (纸本)9789897584879

Most software design tools, as for instance data flow diagrams (DFDs), are focused on functional aspects and cannot thus model non-functional aspects like privacy. In this paper, we provide an explicit algorithm and a proof-of-concept implementation to transform DFDs into so-called Privacy-Aware data flow diagrams (PA-DFDs). Our tool systematically inserts privacy checks to a DFD, generating a PA-DFD. We apply our approach to two realistic applications from the construction and online retail sectors.

关键词： Privacy by Design data flow diagrams GDPR

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Towards data Science Design Patterns 1

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21st International Symposium on Intelligent data Analysis (IDA)

作者： Berthold, Michael R. Brookhart, Dashiell Gerber, Schalk Hayasaka, Satoru Widmann, Maarit KNIME Zurich Switzerland KNIME Austin TX USA KNIME Constance Germany Konstanz Univ Constance Germany

We propose data flow diagrams to model data science design patterns and demonstrate, using a number of explanatory patterns, how they can be used to explain and document data science best practices, aid data science e... 详细信息

ISBN: (数字)9783031300479

ISBN: (纸本)9783031300462;9783031300479

关键词： data Science Design Patterns data flow diagrams Blueprints Best Practices

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Application TRIKE Methodology When Modeling Threats to APCs Information Security

Application TRIKE Methodology When Modeling Threats to APCs ...

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International Russian Automation Conference (RusAutoCon)

作者： Chernov, D. Tula State Univ 92 Lenina Ave Tula 300012 Russia

ISBN: (纸本)9783030942021;9783030942014

In the modern world automation technologies of industrial processes have found wide application. Automated process control systems have become an important part of enterprises that operate in different economic fields and life support facilities all over the world. Nevertheless, the high growth of automation means raises the acute problem of providing APCs information security from external and internal threats. There are systematic reports in the media about new critical vulnerabilities in industrial equipment and attacks based on the exploitation of such vulnerabilities. When designing such systems it is necessary to estimate possible information security threats that already exist in the system or that are predicted to appear. That is why threat modeling is an important part of providing information security at industrial facilities using automation. In this work the author investigates the methodology of estimating threats to software security TRIKE. The research is aimed at finding general approaches to determine threat sources, tactics, and techniques for making implementation scenarios of threats to software information security, for applying them to provide cyber security of automated process control systems. In the frameworks of the subject main-streaming, the research gives a description of cyber-attacks at big industrial facilities, and their basic vulnerabilities are emphasized. In the article the analysis of TRIKE methodology has been done. It is aimed at determining basic threat modeling stages applicable to industrial automation systems. The approach of TRIKE methodology to generating a list of threats to information security is formalized. To achieve the aims the author constructs DFD data flow diagrams with the decomposition of peculiar elements of the algorithm for modeling threats to information security of automated process control systems using TRIKE methodology.

关键词： Automated process control systems Information security Threat Threat model TRIKE data flow diagrams Attack library

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Using an Online Serious Game to Teach Basic Programming Concepts and Facilitate Gameful Experiences for High School Students

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IEEE ACCESS 2021年 9卷 12567-12578页

作者： Montes, Hernan Hijon-Neira, Raquel Perez-Marin, Diana Montes, Sergio Univ Rey Juan Carlos Comp Sci Dept Madrid 28933 Spain Univ Rey Juan Carlos Dept Comp Sci Madrid 28933 Spain Univ Fuerzas Armadas ESPE Comp Sci Dept Sangolqui 171103 Ecuador

Teaching programming to pre-university students has attracted a great deal of attention in the last years. The benefits of teaching programming before University have been investigated by taking several approaches to improve the students' learning scores, motivation and satisfaction levels. Serious Games (SGs) are also gaining an increasing research interest for education. SGs can be defined as games designed for a primary goal other for than pure entertainment. In the case of this paper, the DFD-C serious game has been created to investigate whether High School students will improve their learning of programming fundamentals and, if there are gender differences in the improvement. Moreover, it is explored the perception of the gameful experience by the students when using a serious game such as DFD-C, and if this perception is different in the case of boys or girls. An experiment with 38 K-10 High School students has been carried out during the 2019-2020 academic year. All students took a pre-test at the beginning of the experiment. After that, they were randomly split into a control group (no use of DFD-C) and a test group (use of DFD-C). Finally, all of them took the same test (post-test) to measure their learning gains. The test group also completed the Gamefulquest questionnaire to evaluate their perception of the gameful experience. A significant improvement in the scores of the test students was registered, with no gender differences. Moreover, the answers to the Gamefulquest reveal that students had a positive gameful experience, being the ratings of the girls slightly higher than boys. It is concluded that using SGs to teach learning programming fundamentals to High School students increased their learning scores and students perceived the sense of playfulness, guidance and social experience of the SG without having significant differences between girls and boys.

关键词： Games Programming profession Programming Education Kernel Tools Serious games Serious games programming basics gameful experience data flow diagrams C language

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A hybrid approach for energy-efficient routing in IoT using duty cycling and improved ant colony

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IET COMMUNICATIONS 2022年第0期

作者： Rana, Bharti Singh, Yashwant Singh, Pradeep Kumar Ghafoor, Kayhan Zrar Shrestha, Sachin Cent Univ Jammu Dept Comp Sci & Informat Technol Jammu India Narsee Monjee Inst Management Studies NMIMS Sch Technol Management & Engn STME Chandigarh 160014 India Knowledge Univ Erbil Iraq Pokhara Univ Nepal Engn Coll Dept ECE Pokhara Nepal Pokhara Univ Nepal Engn Coll Dept ECE Pokhara 33700 Nepal Cent Univ Jammu Dept Comp Sci & Informat Technol Jammu 180001 J&K India Narsee Monjee Inst ofManagement Studies NMIMS Sch Technol Management & Engn STME Chandigarh 160014 India

The promising technology of IoT in the fourth industrial revolution connects everything to the Internet in the digital world of the current era. Though the gigantic connectivity among things through the blend of multifarious technologies offers potential opportunities, it also increases the overhead to optimise the energy consumption in IoT networks. Energy optimisation has become the major concern in the IoT realm because of the continuous sensing of the constrained sensor nodes and data transmission to longer distances. The state-of-the-art studies do not take into account the management of duty-cycling and the process of efficient route discovery hand in hand. Also, the prevalent studies focus on the management of the sensor node's duty cycling (DC) solely instead of adaptive DC scheduling of the communication unit of the sensor node that consumes more energy during transmission. Therefore, keeping in view the existing tribulations regarding energy consumption, the authors attempt to devise an energy-efficient routing approach using On-Demand Duty Cycling and Ant-Colony optimisation (DC-ACO) for IoT. The ACO-based routing approach is applicable in IoT networks because the ants' environment is conceptualised as a distributed set of interconnected graph nodes. The proposed approach poses the empirical notion to manage the energy consumption of the IoT network by considering the key performance indicators (KPI) like energy consumption, packet delivery rate, average residual energy, mobility factor, distance, throughput, and network lifespan to accomplish the tangible outputs. The proposed approach is modelled using data flow diagrams (DFDs) and algorithms supported by results. Experimental results show significant improvement in relative throughput, network lifetime, and energy efficiency by 45%, 78%, and 68%, respectively, after simulating for successive iterations.

关键词： Energy-Efficiency Duty-Cycling Ant Colony Optimisation data flow diagrams Quality Metrics

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Adopting threat modelling in agile software development projects

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JOURNAL OF SYSTEMS AND SOFTWARE 2022年 183卷 111090-111090页

作者： Bernsmed, Karin Cruzes, Daniela Soares Jaatun, Martin Gilje Iovan, Monica SINTEF Digital Trondheim Norway Visma Sibiu Romania

The goal of secure software engineering is to create software that keeps performing as intended, even when exposed to attacks. Threat modelling is considered to be a key activity to reach this goal, but has turned out to be challenging to implement in agile teams. This paper presents results from four different studies, in which we have investigated how agile teams do threat modelling today. Study A is based on observations and document analysis from five teams in a single organisation, Study B is based on interviews with eight individuals from four different organisations, Study C is based on a questionnaire survey of 45 students at two different universities, and Study D is based on interviews with seven teams in a single organisation, supplemented with document analysis. Our results include findings, challenges and current good practice related to the use of data flow diagrams, STRIDE and the Microsoft Threat Modelling Tool. We also cross-check our findings with previous relevant work, and provide recommendations for making the threat modelling activities more useful to agile teams. (c) 2021 Elsevier Inc. All rights reserved.

关键词： Agile Software Threat modelling data flow diagrams STRIDE MS-TMT

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An Ontology for Representing and Annotating data flows to Facilitate Compliance Verification 13

An Ontology for Representing and Annotating Data Flows to Fa...

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13th IEEE International Conference on Research Challenges in Information Science (IEEE RCIS)

作者： Debruyne, Christophe Riggio, Jonathan De Troyer, Olga O'Sullivan, Declan Trinity Coll Dublin Dublin Ireland Vrije Univ Brussel Brussels Belgium

ISBN: (纸本)9781728148441

In this paper, we argue that there is a gap to be bridged between the development and maintenance of services and the various internal and external policies that emerge and evolve outside of these systems. To bridge this gap, we propose a semantic model, i.e. ontology, for representing data flows and linking them with structured representations of the data that is processed (datasets, databases, queries, etc.). data flow Diagramming is a technique for capturing the various data and information flows between an information system and external stakeholders as well as within such a system. This technique is used in the analysis phase of information systems development and captures the inputs and outputs of various processes. Our model allows these data flows to be presented and linked with structured representations of the data that is to be used, consulted, processed, etc. We demonstrate that this model can facilitate compliance verification processes of (intelligent) systems by allowing these flows to be analyzed. Next to the ontology, which has been made available according to best practices in the field, we furthermore posit our contributions within the state of the art.

关键词： component data flows data flow diagrams Semantic Models

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Calibration and Monitoring of IoT Devices by Means of Embedded Scientific Visualization Tools 18th

Calibration and Monitoring of IoT Devices by Means of Embedd...

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18th International Conference on Computational Science (ICCS)

作者： Ryabinin, Konstantin Chuprina, Svetlana Kolesnik, Mariia Perm State Univ Bukireva Str 15 Perm 614990 Russia Perm Reg Museum Branch Museum Permian Antiqu Monastyrskaya Str 11 Perm 614000 Russia

ISBN: (纸本)9783319937014;9783319937007

In the paper we propose ontology based scientific visualization tools to calibrate and monitor various IoT devices in a uniform way. We suggest using ontologies to describe associated controllers, chips, sensors and related data filters, visual objects and graphical scenes to provide self-service solutions for IoT developers and device makers. High-level interface of these solutions enables composing data flow diagrams defining both the behavior of the IoT devices and rendering features. According to the data flow diagrams and the set of ontologies the firmware for IoT devices is automatically generated incorporating both the data visualization and device behavior code. After the firmware loading, it's possible to connect to these devices using desktop computer or smartphone/tablet, get the visualization client code over HTTP, monitor the data and calibrate the devices taking into account monitoring results. To monitor the distributed IoT networks a new visualization model based on circle graph is presented. We demonstrate the implementation of suggested approach within ontology based scientific visualization system SciVi. It was tested in a real world project of an interactive Permian Antiquities Museum exhibition creating.

关键词： IoT devices Scientific visualization tools Ontology engineering data flow diagrams Firmware source code generation

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A Behavioral Action Sequences Process Design 2nd

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2nd International Conference on Advanced Intelligent Systems and Informatics (AISI)

作者： Kilany, Moataz Hassanien, Aboul Ella Badr, Amr Tsai, Pei-Wei Pan, Jeng-Shyang Minia Univ Fac Comp & Informat El Minia Egypt Cairo Univ Fac Comp & Informat Giza Egypt Beni Suef Univ Fac Comp & Informat Bani Suwayf Egypt Fujian Univ Technol Fujian Prov Key Lab Big Data Min & Applicat Fuzhou Peoples R China SRGE Cairo Egypt

ISBN: (纸本)9783319483085;9783319483078

Modeling human actions in a format that is suitable for computer systems to understand is a target for behavior analysis systems. This work introduces a high level design for a behavioral analysis system based on action sequences. The design is introduced in terms of process modeling. System processes are presented in terms of a set of data flow diagrams (also known as DFDs) of multi levels. They represent the decomposition of all processing components required in such system and the data flows among them. The system is designed to receive structured information for human behaviors and actions and produce insights, predictions and classifications for personal and behavioral characteristics. Proposed process decomposition is introduced as a core step towards design and implementation of a behavior analyzer system. This work also introduces an approach to model the contextual factors affecting personal activities. This should lead to a more precise behavioral models that can capture activities as well as considering contextual factors such as the surrounding physical environment, person committing the activity, surrounding culture, social, and religious norms. The targeted accuracy of modeling is meant by the precise evaluation of personal activities after taking all mentioned factors into account.

关键词： Human behavior analysis Prediction Process modeling data flow diagrams

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