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检索条件"任意字段=13th ACM Symposium on Access Control Models and Technologies"

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Active Learning of Relationship-Based access control Policies 20

Active Learning of Relationship-Based Access Control Policie...

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25th acm symposium on access control models and technologies (SacmAT)

作者： Iyer, Padmavathi Masoumzadeh, Amirreza SUNY Albany Albany NY 12222 USA

ISBN: (纸本)9781450375689

Understanding access control policies is essential in understanding the security behavior of systems. However, often times, a complete and accurate specification of the enforced access control policy in a system is not available. In fact, scale and complexity of a system, or unavailability of its source code, may prevent users and even its developers from having access to such accurate specification. In this paper, we propose a novel, systematic approach for learning access control policies where target systems are treated as black boxes. In particular, we show how we can construct a deterministic finite automaton (DFA) characterizing the relationship-based access control (ReBAC) policy of a system by interacting with its access control engine using minimal number of access requests. Our experiments on realistic application scenarios and their promising results demonstrate the feasibility, scalability and efficiency of our learning approach.

关键词： relationship-based access control authorization black box model learning active learning

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thermographic Detection of Tool Wear: A Review on Deep Learning-Based Approaches

Thermographic Detection of Tool Wear: A Review on Deep Learn...

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International symposium on Digital Forensic and Security (ISDFS)

作者： Büşra Tan Saatçı Mustafa Ulaş Turan Gürgenç Department of Information Technologies Institute of Science Fırat University Elazig Türkiye Faculty of Engineering Artificial Intelligence and Data Engineering Fırat University Elazig Türkiye Automotive Engineering Faculty of Technologies Fırat University Elazig Türkiye

ISBN: (数字)9798331509934

ISBN: (纸本)9798331509941

In machining processes, cutting tool wear is a critical problem affecting key performance parameters such as surface quality, production time, and cost. High temperatures cause deformation and wear in the tool material and shorten tool life. this reduces production efficiency and negatively affects the sustainability of quality-oriented goals such as zerodefect manufacturing. In this review study, the current literature on the prediction of cutting tool wear in machining processes using thermal imaging and deep learning techniques is analyzed. With advancing manufacturing technologies, unattended machining capability and the proliferation of approaches such as Zero Defect Manufacturing (ZDM), realtime and accurate monitoring of cutting tool conditions is a strategic requirement for production efficiency and quality control. In this context, the possibilities offered by indirect wear detection methods based on temperature data and the applications of deep learning-based models in this field are evaluated. Significant success has been achieved in tool life prediction by processing temperature maps obtained with thermal cameras, thermocouples, and infrared (IR) imaging systems using algorithms such as CNN and ANN. the methods in the literature are discussed comparatively and their advantages and limitations are discussed. this paper systematically reviews the existing approaches in the literature for tool wear monitoring using temperature-based methods and provides a comprehensive review for future research in this area.

关键词： Deep learning Cutting tools Adaptation models Reviews Biological system modeling Imaging Machining Production Manufacturing Monitoring

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Data-driven modelling of building retrofitting with incomplete physics: A generative design and machine learning approach 13

Data-driven modelling of building retrofitting with incomple...

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13th Nordic symposium on Building Physics, NSB 2023

作者： Yu, Haitao Feng, Kailun Penaka, Santhan Reddy Man, Qingpeng Lu, Weizhuo Olofsson, thomas Department of Construction Management Harbin Institute of Technology Harbin150009 China Department of Applied Physics and Electronics Umea University Umea90187 Sweden Key Lab of Structures Dynamic Behavior and Control The Ministry of Education Harbin Institute of Technology Harbin150009 China

Building performance simulation (BPS) based on physical models is a popular method for estimating the expected energy savings from energy-efficient building retrofitting. However, for many buildings, especially older buildings, built several decades ago, an operator do not have full access to the complete information for the BPS method. Incomplete information comes from the lack of detailed building physics, such as the thermal transmittance of some building components due to the deterioration of components over time. To address this challenge, this paper proposed a data-driven approach to support the decision-making of building retrofitting selections under incomplete information conditions. the data-driven approach integrates the backpropagation neural networks (BRBNN), fuzzy C-means clustering (FCM), and generative design (GD). It generates the required big database of building performance through generative design, which can overcome the problem of incomplete information during building performance simulation and energy-efficient retrofitting. the case study is based on old residential buildings in severe cold regions of China, using the proposed approach to predict energy-efficient retrofitting performance. the results indicated that the proposed approach can model the performance of residential buildings with more than 90% confidence, and show the variation of results. the core contribution of the proposed approach is to provide a way of performance prediction of individual buildings resulting from different retrofitting measures under the incomplete physics condition. © Published under licence by IOP Publishing Ltd.

关键词： Deterioration

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Accept - Maybe - Decline: Introducing Partial Consent for the Permission-based access control Model of Android 20

Accept - Maybe - Decline: Introducing Partial Consent for th...

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25th acm symposium on access control models and technologies (SacmAT)

作者： Momen, Nurul Bock, Sven Fritsch, Lothar Karlstad Univ Karlstad Sweden Tech Univ Berlin Berlin Germany

ISBN: (纸本)9781450375689

the consent to personal data sharing is an integral part of modern access control models on smart devices. this paper examines the possibility of registering conditional consent which could potentially increase trust in data sharing. We introduce an indecisive state of consenting to policies that will enable consumers to evaluate data services before fully committing to their data sharing policies. We address technical, regulatory, social, individual and economic perspectives for inclusion of partial consent within an access control mechanism. then, we look into the possibilities to integrate it within the access control model of Android by introducing an additional button in the interface-Maybe. this article also presents a design for such implementation and demonstrates feasibility by showcasing a prototype built on Android platform. Our effort is exploratory and aims to shed light on the probable research direction.

关键词： Partial consent access control Privacy Data protection

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Abstraction in teaching ways of control engineering to support the understanding of mathematics behind Industry 4.0-a Hungarian approach 13

Abstraction in teaching ways of control engineering to suppo...

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13th IFAC symposium on Advances in control Education (ACE)

作者： Tar, Jozsef Varga, Bence Galambos, Peter Szucs, Laszlo Siket, Mate Varga, Arpad Eigner, Gyorgy Kovacs, Levente Obuda Univ Physiol Controls Res Ctr Becsi St 96-B H-1034 Budapest Hungary Obuda Univ Bejczy Antal Ctr Intelligent Robot Becsi St 96-B H-1034 Budapest Hungary Obuda Univ John von Neumann Fac Informat Biomat & Appl Artificial Intelligence Inst Becsi St 96-B H-1034 Budapest Hungary Obuda Univ Appl Informat & Appl Math Doctoral Sch Becsi St 96-B H-1034 Budapest Hungary Obuda Univ Kalman Kando Fac Elect Engn Tavaszmezo St 15-17 H-1084 Budapest Hungary

Modern technologies, as well as the technologies that will emerge in the near future, pose a great challenge to researchers and educators in education and educational methodology. Teaching the intuitive use of mathematical tools, developing the ability to abstract, using appropriate theoretical and practical models and demonstration tools are all required to equip engineering students with the right mindset and practice to meet the challenges of the modern era. In this paper, we present the theoretical and practical tools that are used in daily practice in the context of control engineering to help engineering students develop their mindset. First, the development of an appropriate mathematical toolbox and mindset is introduced, followed by the development of abstraction skills during the teaching process. Interdisciplinary, mechanical and robotic models and tools are used to educate students about the complexity of engineering. the paper will start from mechanics, then present an interdisciplinary example in the field of blood glucose control, and, in addition, highly nonlinear demonstration tools will be presented, and a mobile robot platform for education, developed in collaboration with engineering students, will be presented, which is suitable for teaching in the fields of sensor fusion, artificial intelligence and others. Copyright (C) 2022 the Authors.

关键词： control education Teaching curricula developments for control and other engineers control education using laboratory equipment Continuing control education in industry Nonlinear system identification Stability of nonlinear systems Robotics technology Estimation and control in biological systems

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A Decision Tree Learning Approach for Mining Relationship-Based access control Policies 20

A Decision Tree Learning Approach for Mining Relationship-Ba...

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25th acm symposium on access control models and technologies (SacmAT)

作者： Bui, thang Stoller, Scott D. SUNY Stony Brook Stony Brook NY 11794 USA

ISBN: (纸本)9781450375689

Relationship-based access control (ReBAC) provides a high level of expressiveness and flexibility that promotes security and information sharing, by allowing policies to be expressed in terms of chains of relationships between entities. ReBAC policy mining algorithms have the potential to significantly reduce the cost of migration from legacy access control systems to ReBAC, by partially automating the development of a ReBAC policy. this paper presents new algorithms, called DTRM (Decision Tree ReBAC Miner) and DTRM-, based on decision trees, for mining ReBAC policies from access control lists (ACLs) and information about entities. Compared to state-of-the-art ReBAC mining algorithms, our algorithms are significantly faster, achieve comparable policy quality, and can mine policies in a richer language.

关键词： security policy mining attribute-based access control relationship-based access control decision trees

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AQUA: An Efficient Solver for the User Authorization Query Problem 20

AQUA: An Efficient Solver for the User Authorization Query P...

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25th acm symposium on access control models and technologies (SacmAT)

作者： Armando, Alessandro Gazzarata, Giorgia A. Turkmen, Fatih Univ Genoa DIBRIS Genoa Italy Univ Groningen Groningen Netherlands

ISBN: (纸本)9781450375689

We present AQUA, a solver for the User Authorization Query (UAQ) problem in Role-Based access control (RBAC). the UAQ problem amounts to determining a set of roles granting a given set of permissions, satisfying a collection of authorisation constraints (most notably Dynamic Mutually-Exclusive Roles, DMER) and achieving some optimization objective, i.e. seeking min/max/any number of roles to activate and/or permissions to grant. AQUA supports the enforcement of a wide class of DMER constraints as well as several types of optimization objectives (namely, min/max/any number of roles to activate, min/max/any number of permissions to grant, and a combinations thereof). In this paper, we demonstrate the use of AQUA over a running example while providing certain implementation details including the architecture.

关键词： maxsat access control uaq sat rbac

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Advanced DDoS Detection in Online Learning Environments

Advanced DDoS Detection in Online Learning Environments

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International symposium on Digital Forensic and Security (ISDFS)

作者： Amine Berqia Oussama Ismaili Manar Chahbi Habiba Bouijij SSLab ENSIAS Mohammed V University in Rabat Rabat Morocco

ISBN: (数字)9798331509934

ISBN: (纸本)9798331509941

the growing dependence on online learning platforms has exposed educational institutions to an increasing number of cyber threats, particularly Distributed Denial of Service (DDoS) attacks. these attacks are designed to overwhelm network resources, causing service interruptions that can disrupt access to Learning Management Systems (LMS), hinder live virtual lectures, and compromise the integrity of digital assessments. With the rise of remote and hybrid learning models, the implications of these attacks extend beyond mere inconvenience, threatening the quality and reliability of education delivery. this study proposes the integration of advanced Smart Intrusion Detection Systems (Smart IDS) for real-time detection and mitigation of DDoS attacks in online learning environments. Smart IDS leverage a combination of machine learning algorithms, anomaly detection techniques, and real-time network traffic analysis to identify irregular traffic patterns and potential threats with exceptional accuracy. By continuously monitoring network traffic, these systems can distinguish between legitimate usage spikes and malicious activity, minimizing false positives and enabling swift response to evolving threats. One of the key advantages of Smart IDS lies in their adaptability and scalability. Using dynamic learning models, Smart IDS can analyze historical and real-time data to adapt to new attack patterns, ensuring protection against sophisticated and emerging DDoS techniques. Moreover, these systems can integrate seamlessly with cloud-based infrastructures, which are increasingly adopted by educational institutions to support large-scale, distributed user bases. Such integration ensures a robust and flexible defense mechanism capable of mitigating the impact of volumetric and targeted attacks alike. the research also emphasizes the importance of coupling these advanced detection mechanisms with resilient network architectures to maintain uninterrupted access to educational resou

关键词： Scalability Prevention and mitigation Education Telecommunication traffic Traffic control Denial-of-service attack Real-time systems Reliability Computer crime Protection

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Matrix Decomposition: Analysis of an access control Approach on Transaction-based DAGs without Finality 20

Matrix Decomposition: Analysis of an Access Control Approach...

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25th acm symposium on access control models and technologies (SacmAT)

作者： Jacob, Florian Becker, Luca Grashoefer, Jan Hartenstein, Hannes Karlsruhe Inst Technol Inst Telemat Karlsruhe Germany

ISBN: (纸本)9781450375689

the Matrix message-oriented middleware(1) is gaining momentum as a basis for a decentralized, secure messaging system as shown, for example, by its deployment within the French government and by the Mozilla foundation. thus, understanding the corresponding access control approach is important. this paper provides an abstraction and an analysis of the access control approach followed by Matrix. We show that Matrix can be seen as a form of Distributed Ledger Technology (DLT) based on Transaction-based Directed Acyclic Graphs (TDAGs). TDAGs connect individual transactions to form a DAG, instead of collecting transactions in blocks as in blockchains. these TDAGs only provide causal order, eventual consistency, and no finality. However, unlike conventional DLTs, Matrix does not aim for a strict system-wide consensus. thus, there is also no guarantee for a strict consensus on access rights. By decomposition of the Matrix approach, we show that a sound decentralized access control can be implemented for TDAGs in general, and for Matrix in particular, despite those weak guarantees. In addition, we discovered security issues in popular implementations and emphasize the need for a formal verification of the employed conflict resolution mechanism.

关键词： publish-subscribe decentralized distributed ledger technology policy information matrix transaction-based directed acyclic graphs access control

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Multi-party access control-10 Years of Successes and Lessons Learned 20

Multi-party Access Control-10 Years of Successes and Lessons...

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25th acm symposium on access control models and technologies (SacmAT)

作者： Squicciarini, Anna Cinzia Penn State Univ Coll Informat Sci & Technol University Pk PA 16802 USA

ISBN: (纸本)9781450375689

As end-users have been asked to take on management tasks for their content and online resources, access control mechanisms have played an increasingly important role in a broad range of applications. these include data management for personalized medicine, content sharing sites, online communities, and technologies for remote collaborative work. To address the need of these emerging user-centered domains, an increasing body of work has recognized the importance of new multi-user (or more generally, stakeholder) access control mechanisms for multiple users. the emphasis on group-centered access control has led to a shift from the traditional approach taken in the access control community for two main reasons. First, the access control community had long investigated models and techniques to facilitate single subjects' access to resources according to well-defined locally-enforceable policies, with little attention given to group-driven access control decisions. Second, the underlying goal had been to maintain confidentiality rather than facilitate controlled sharing. As such, the decisions offered by these early mechanisms are single-user driven and often binary and based on inflexible policies. Consequently, researchers have investigated and proposed a variety of multiparty access control mechanisms [5], and defined rigorous models for content management among multiple users, also developing mechanisms for various applications [1-4, 6-10]. Some tools for practical applications have also been developed. However, we have also assisted to several "failures" where promising approaches have not gained traction, either among the research community or (even less) the applied world. In this talk I will first discuss unique needs and challenges with addressing access control for multi-owned content, and provide a perspective from various applications. Next, I will summarize main successes and failures of existing approaches, identify open research challenges for future resea

关键词： access control Privacy Relationship-Bases access control Multi-Party access control Conflict Resolution

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