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Protecting Healthcare systems through an ML-powered cyberattack Detection within software-Defined Networking (SDN)

Protecting Healthcare Systems through an ML-powered cyberatt...

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2024 International conference on Science, Technology, engineering and Management, ICSTEM 2024

作者： Nagaraj, P. Marimuthu, T. Bala Murugan, J. Mugeshkumar, S. Muga Dharshan, R. Kishore Vasikaran, M. Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Krishnankoil Virudhunagar India

ISBN: (数字)9798350376913

ISBN: (纸本)9798350376913

It is pointed out that the healthcare industry faces big problems when it comes to keeping private patient data safe in software-defined networks (SDNs). Healthcare apps need to have strong security measures because online risks are getting more complicated. This research work suggests a way to fix the problem by using machine learning techniques to find and stop a lot of different types of cyber risks in healthcare systems. Improving safety in healthcare apps is very important, and this project looks at how to do it. Protecting patient data and making sure healthcare networks work well are important for keeping patients healthy and for keeping people's trust in healthcare institutions. The project aims to make healthcare systems safer and more resilient by successfully fighting online dangers and improving network performance. In this project, ensemble methods like Stacking and Voting Classifiers were used to improve accuracy, and they were able to achieve 100% accuracy in finding cyberattacks on healthcare systems that used software-Defined Networking. Built an easy-to-use Flask-based front end with a safe login that can be used in healthcare situations. © 2024 IEEE.

关键词： software defined networking

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The Influence of Kanban Agile Methodology on software Project Management: A Survey Method 10

The Influence of Kanban Agile Methodology on Software Projec...

引用

10th International conference on engineering and Emerging Technologies, ICEET 2024

作者： Ahmed, Irfan Munir, Fatima Nafees, Fouzia Mahmood, Jabar Chaudhry, Shehzad Ashraf Javaid, Maryam Batool, Khadija University of Sialkot Dept. of Computer Science Sialkot Pakistan School of Cyber Science and Technology College of Computer Science and Technology Zhejiang University State Key Laboratory of Blockchain Hangzhou China College of Engineering Abu Dhabi University Department of Computer Science and Information Technology Abu Dhabi United Arab Emirates International Institute of Science Arts and Technology Dept. of Computer Sciences Gujranwala Pakistan

ISBN: (纸本)9798331532895

software project management (SPM) is an important process in the software development (SD) industry, that involves the planning, organizing, and overseeing software application development. Kanban agile (KA) methodology is a systematic project management approach that prioritizes workflow optimization, clear visibility, and continuous delivery in SD. It has become increasingly popular in software development for its ability to adapt to changing requirements and promote continuous delivery. It is examined that kanban affects critical project management factors. Data is gathered through a survey of software professionals who are experienced with kanban. The results indicate that kanban significantly improves team collaboration, workflow transparency, and overall project efficiency. This study investigates the impact of the KA methodology on SPM using a survey-based approach. However, the study also identifies challenges, including the initial learning curve and resistance to change within teams. These findings provide valuable insights for organizations considering kanban and contribute to the broader understanding of its role in SPM. We surveyed several software development companies, and the results show that almost all of them use agile methodology (Kanban), which improves SPM as compared to other agile methodologies like Scrum, extreme programming and dynamic systems development methods. © 2024 IEEE.

关键词： Agile DSDM Kanban Quality Enhancement Scrum SPM XP

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Relationship between factors influencing the software development process and software defects 13

Relationship between factors influencing the software develo...

引用

13th International conference on Dependable systems, Services and Technologies, DESSERT 2023

作者： Gordieiev, Oleksandr Gordieieva, Daria Rainer, Austen Pishchukhina, Olga Lutsk National Technical University Department of Software engineering Lutsk Ukraine Queen's University Belfast School of Electronics Electrical Engineering and Computer Science Belfast United Kingdom Lutsk National Technical University Department of Computer Engineering and Cybersecurity Lutsk Ukraine

ISBN: (纸本)9798350396119

Poor software quality can lead to crashes, failures or downtime, the consequences of which may be lost profits, financial costs, leakage or loss of data, accidents, human casualties, material losses or environmental disasters. The total cost of poor software quality for IT companies in the USA is estimated at $2.41 trillion per year and tends to increase. Among the identified costs, the cost of unsuccessful projects is estimated at $260 billion, and the total cost of operational failures caused by poor quality software is estimated at $1.81 trillion. Late finding and fixing of software defects directly affects the success of the project as a whole, since it significantly increases the cost and development time, and affects its quality. This paper discussed the relationship between factors affecting the software development process and various groups of defects. It has been found that the leading groups of defects affecting the software quality are the defects in software requirements and defects in the design of software interfaces for human-computer interaction with the total percentage of influence of 33.3%. © 2023 IEEE.

关键词： Defects

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Zoned Role-Based Approach to System Design, Implementation, and Access Control of IntegratedWeb Applications 33rd

Zoned Role-Based Approach to System Design, Implementation, ...

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33rd International conference on software and Data engineering

作者： Wang, Harris Athabasca Univ Sch Comp & Informat Syst Athabasca AB Canada

ISBN: (纸本)9783031752001;9783031752018

In today's world almost all organizations heavily depend on Web-based systems or web applications for their day-to-day operations. In this paper, we will present zoned role-based (ZRB) approach to the design and implementation of integrated web-based systems for organizations and enterprises. In contrast to Role-Based Access Control (RBAC), well-known in computer security, this approach can be used throughout the entire life cycle of a web-based system, and can make the design, implementation, deployment and maintenance of integrated web system more efficient and effective for all organizations and enterprises. In this approach, areas of business, or divisions, departments or designated groups of employees for specific missions are called zones, and for each zone a set of roles are defined;for each role, some web apps, each of which consists of a set of operations, are designed and implemented for users in their respective roles to conduct their business in each associated zone;and control of user access to each operation can then be done explicitly by associating each operation with roles by inference based on the relationships between roles. Within such a zoned role-based integrated system, once a user has roles assigned in each zone he or she is affiliated, he will be able to access, precisely, all the apps and operations needed to fulfill his or her role or roles in respective zone, with only one authentication. Such integration is rather important and convenient especially when users may be affiliated with multiple zones or play multiple roles.

关键词： Integrated web apps development Zoned role-based system development Zoned role-based access control software development methodology

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Cloud Technology, Infrastructure and Computing for Manufacturing Viable XAI systems

Cloud Technology, Infrastructure and Computing for Manufactu...

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2024 IEEE International Multi-conference on engineering, computer and Information Sciences, SIBIRCON 2024

作者： Gribova, V. Shalfeeva, E. Iacp Feb Ras Laboratory of Intelligent Systems Vladivostok Russia

ISBN: (纸本)9798331532024

The hot topic in the field of artificial intelligence is the production of intelligent products based on knowledge graphs as effective method for building applications of explainable Artificial Intelligence (XAI). The success of AI-products directly depends on how effective the viability mechanisms are laid down in its design. In this paper, a systematic cloud-based toolkit is proposed to develop viable XAI systems. The characteristic properties of applicated intelligent software services with knowledge graphs are described. It is explained, how these properties are provided in cloud specialized manufacturing environments. The example of tools for cognitologs and engineers to create portals with XAI-system production conditions are the instruments implemented on the «IACPaaS» platform. Several thematic cloud portals for collective development of XAI services have already been created here. An example is the specialized manufacturing environment of the Medical Portal, which made it possible to create multifunctional clinical software services to support decision-making based on diseases-centric knowledge graphs, the completeness and relevance of which is maintained remotely. © 2024 IEEE.

关键词： Smart manufacturing

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Clabject Typing in MLM - the Double Life of a Clabject A Position Paper

Clabject Typing in MLM - the Double Life of a Clabject A Pos...

引用

ACM/IEEE International conference on Model Driven engineering Languages and systems (MODELS)

作者： Balaban, Mira Kifer, Michael Maraee, Azzam Ben Gurion Univ Negev Comp Sci Dept Beer Sheva Israel SUNY Stony Brook Comp Sci Dept Stony Brook NY USA Achva Acad Coll Informat Syst Dept Yinon Israel

ISBN: (纸本)9798350324983

MultiLevel software Modeling (MLM) views complex domains as a classification system, created by monotonically growing abstraction of a domain. A multilevel model consists of levels which are structures of modeling elements that are inter-related and possibly constrained. Elements in different levels can be inter-related by an instantiation relation, that defines an element of a lower level as an instance-of an element of a higher level. The instance-of relation assigns a dual role to an instance class: In addition to its role as a class - its class facet, it also functions as an object of its owner class - its object facet. Such classes are termed clabjects. This position paper raises the issue of typing the class facet of clabjects and its relationship to the types of the dual object facet. The approaches of four MLM systems are summarized. The paper points out the crucial impact of clabject typing on computation with MLM-driven systems.

关键词： Multi-level modeling instance-of class facet object facet object-Oriented subtyping OO-type system type safety

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FAIRlead: A Conceptual Framework for a Model Driven software Development Approach in the Field of FAIR Data Management 16

FAIRlead: A Conceptual Framework for a Model Driven Software...

引用

16th International conference on Knowledge Management and Information systems, KMIS 2024 as part of 16th International Joint conference on Knowledge Discovery, Knowledge engineering and Knowledge Management, IC3K 2024

作者： Schmidt, Andreas Koubaa, Mohamed Anis Liu, Nan Schmurr, Philipp Stucky, Karl-Uwe Süß, Wolfgang Karlsruhe Germany Department of Computer Science and Business Information Systems Karlsruhe University of Applied Sciences Karlsruhe Germany

ISBN: (纸本)9789897587160

The publication of scientific results together with the underlying experiments is an important source of further research. In 2016, the "FAIR Guiding Principles for scientific data management and stewardship" were published, in which the authors postulate a series of guidelines for improving the (F)indability, (A)ccessibility, (I)nteroperability and (R)eusability of digital information (FAIR). The point (I)nteroperability deals with the prerequisites for the reusability of digital objects. The central point here is the need to have a common understanding of the meaning of digital objects. This understanding is provided by formal languages of knowledge representation (ontologies), which describe the actual data. These descriptions of data are also known as metadata. As part of our current work at the Institute for Automation and Applied computer Science (IAI) at KIT, we are implementing novel concepts and technologies for the sustainable handling of research data using high-quality metadata. As part of this work, we plan to develop a software tool that can be used to enrich data with suitable metadata and thus automate the process of making research results available. A key requirement is that the tool must be independent of the underlying domain. In order to be able to deal with data from any domain, we have opted for a model-driven approach in which an ontology, and possibly other platform-specific information, are input for a software generator, which then generates an (interactive) tool for specifying the metadata and linking it to the data itself. The generated tool includes the complete software stack, starting with a user interface, programmatic APIs for connecting additional application logic, and a persistence component. How these individual layers are realized is not specified, but defined by the mapping rules of the software generator, which also opens up the possibility of generating and evaluating different variants of the software. © 2024 by SCITEPRESS

关键词： Ontology

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Maximum Attainable Phase Shift Angle in Practical Current Source Fed Semi-Active Rectifier 18

Maximum Attainable Phase Shift Angle in Practical Current So...

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IEEE 18th International conference on Compatibility, Power Electronics and Power engineering (CPE-POWERENG)

作者： Vulfovich, Andrey Strajnikov, Pavel Kuperman, Alon Ben Gurion Univ Negev Sch Elect & Comp Engn Beer Sheva Israel

ISBN: (纸本)9798350318272;9798350318265

Semi active rectifiers (SAR) have proven to be a solid middle ground in terms of performance, when compared to standard full bridge diode rectifiers and active rectifiers (AR), in matters of system complexity and efficiency. Phase shift control is often applied to these systems in cases when output regulation and or/load matching is required. This paper analyzes non-ideal SAR, considering voltage transients caused by parasitic capacitance of the lower leg transistors, in order to derive the maximum shift angle for which correct system operation is maintained. The analytical results are then solidified by a numerical example simulated in PSIM software.

关键词： rectifier topology semi active rectifier (SAR) phase shift control

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A Detailed Review and Study of Implementation of Security System Design for Machine Learning-Based software systems: Issues And Challenges 3

A Detailed Review and Study of Implementation of Security Sy...

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3rd International conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Lourens, Melanie Tripathi, Vikas Alanya-Beltran, Joel Akram, Shaik Vaseem Bhaskar, Bandi Firos, A. Durban University of Technology Department of Human Resources Management Berea Durban South Africa Graphic Era Deemed to be University Department of Computer Science & Engineering Uttarakhand Dehradun India Universidad Tecnológica del Perú Peru Uttaranchal University Uttaranchal Institute of Technology India SR University School of CS& AI Telangana Warangal India Department of Computer Science and Engineering Arunachal Pradesh Doimukh791112 India

ISBN: (纸本)9798350399264

The rapidly growing technology specially in the field of software, Machine Learning (ML) has played an important role in a range of tasks, including voice, video, and computer vision. It is currently being utilised in software systems to automate the crucial processes more and more. Machine learning-based modern software systems (MLBSS) are currently difficult to build safely, which will severely limit the uses in security and safety-critical domains. Recently, majority of articles are published and still research work is going on the safety problems for ML and Deep Learning (DL), which place a strong prominence on the models and data both, adversaries' threats have been taken into consideration. In this paper, we address the prospect that system bugs or external adversarial assaults might lead to security vulnerabilities for machine learning-based software systems, and we propose that safe development techniques ought to be applied throughout the whole lifecycle. We conclude by providing a thorough study of the security for MLBSS, which includes a comprehensive analysis based on a review of the structure of three distinctive features in terms of security issues. The entire state-of-the-art for MLBSS secure development is also provided. © 2023 IEEE.

关键词： computer software

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Security Dynamics of Blockchain-Enabled SDN systems: A Taxonomic Approach 9

Security Dynamics of Blockchain-Enabled SDN Systems: A Taxon...

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9th International conference on computer Science and engineering, UBMK 2024

作者： Dudukcu, Deniz Karakus, Murat Ankara University Artificial Intelligence Technologies Graduate Program Ankara Turkey Ankara University Department of Software Engineering Ankara Turkey

ISBN: (纸本)9798350365887

In the current landscape, security challenges extend to various domains, such as IoT networking, UAV communication, and VANETs, rendering underlying infrastructures increasingly susceptible to cyber-attacks. The taxonomies, targets, and purposes of these attacks are closely linked to the properties of the underlying infrastructures. With the elevated vulnerability risks and attacks targeting specific elements of software Defined Networking (SDN), integrating blockchain technology into networking has emerged as a potential solution. However, this convergence of SDN and blockchain introduces new security risks. This position paper overviews blockchain-enhanced SDN systems focusing on security issues and reviews existing research and arguments. Notably, there is currently no agreed-upon established taxonomy for the integrated security of SDN and blockchain. As a contribution to the literature, this paper proposes a taxonomy for classifying security approaches within SDN and blockchain deployment scenarios. This taxonomy categorizes solutions based on defense mechanisms, defense planes, blockchain deployment types, and SDN deployment types. Additionally, we discuss the open issues and challenges at the intersection of SDN and blockchain technologies from a security perspective. © 2024 IEEE.

关键词： Cyber attacks

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