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Insights Gained After a Decade of Cellular Automata-Based Cryptography
No full textPart 1: Invited PapersInternational audienceCellular Automata (CA) have been extensively used to implement symmetric cryptographic primitives, such as pseudorandom number generators and S-boxes. However, most of the research in this field, except the very early works, seems to be published in non-cryptographic venues. This phenomenon poses a problem of relevance: are CA of any use to cryptographers nowadays? This paper provides insights into this question by briefly outlining the history of CA-based cryptography. In doing so, the paper identifies some shortcomings in the research addressing the design of symmetric primitives exclusively from a CA standpoint, alongside some recommendations for future research. Notably, the paper remarks that researchers working in CA and cryptography often tackle similar problems, albeit under different perspectives and terminologies. This observation indicates that there is still ample room for fruitful collaborations between the CA and cryptography communities in the future
Encryption as a Service: A Review of Architectures and Taxonomies
No full textInternational audienceDue to the rise of Internet of Things networks, targeting vulnerabilities related to the limitation of resources in devices has increased. Therefore, it is necessary to delegate encryption services to cloud and fog platforms. Encryption as a Service (EaaS) provides all cryptographic services to end-users to help them cope with their limited resources and processing capabilities. This paper reviews the existing research on EaaS platforms and categorizes them based on their underlying encryption algorithm types. We also introduce different EaaS architectures based on the location of the main components. To our knowledge, none of the existing surveys in this field have covered the aforementioned features
Compact Storage of Data Streams in Mobile Devices
No full textInternational audienceData streams produced by mobile devices, such as smartphones, offer highly valuable sources of information to build ubiquitous services. However, the diversity of embedded sensors and the resulting data deluge makes it impractical to provision such services directly on mobiles, due to their constrained storage capacity, communication bandwidth and processing power. Unfortunately, the improving hardware capabilities of devices are unlikely to resolve these structural issues. We, therefore, believe that mobile data management systems should, instead, handle data streams efficiently and compactly, to provision services directly at the edge, while accounting for the limits of existing assets and network infrastructures. This paper introduces the FLI framework, which leverages a piece-wise linear approximation technique to capture compact representations of data streams in mobile devices. Our experiments, performed on Android and iOS devices, show that FLI outperforms the state of the art both in memory footprint and I/O throughput. Our Flutter implementation of FLI can store stream datasets in mobile devices, which is a prerequisite to processing big data from ubiquitous devices in situ
A Novel Interdisciplinarity Model Towards Inter-domain Information Pairing
No full textPart 3: Interdisciplinary and Cognitive Approaches in TRIZThis study introduces an interdisciplinary prediction frameworkas part of a novel approach that integrates the Inventive DesignMethod (IDM), Topic Modeling, and Generative AI to foster innovationacross academic fields. Identifying interdisciplinary connections is essentialfor solving complex, multi-domain problems. Our research uses asupervised machine learning classifier to identify interdisciplinary documentswithin the Semantic Scholar corpus, extracting latent insights. TheText Convolutional Neural Network model performed best, achieving anF1 score of 0.80. We find that approximately 25% of human knowledge isinterdisciplinary. This framework helps create comprehensive knowledgemaps across multiple domains, promoting innovation through effectivecross-domain knowledge transfer
Choreographic Automata: A Case Study in Healthcare Management
No full textPart 1: Regular PapersInternational audienceChoreographic models in general, and Choreographic Automata (CA) in particular, can be used to analyze and validate communicating systems. We applied CAs to a case study in healthcare management, the procedure for accreditation and authorization of public and private healthcare structures in the Emilia Romagna region (Italy). We formalized the procedure first using a BPMN collaboration diagram as intermediate step, and then using CAs. The tool Corinne showed a few issues in the formalized model, but it turned out that such issues were due to too strict requirements posed by the theory underlying Corinne. This gave us useful feedback for future improvements of Corinne and its underlying theory
Human-Centric Principles for Computational Systems Supporting Collaborative Creativity
No full textPart 1: Collaborative SystemsInternational audienceNeglecting human values, needs, and priorities in computational systems that support collaborative creativity and innovation may result in diminished user trust and engagement, creativity barriers, and a potential disconnect between users and technology. This absence might also result in a lack of inclusion and neglect to discuss the complex facets of interpersonal cooperation that are necessary to optimize creative potential. To mitigate this issue this explorational paper aimed to identify and investigate integration of human-centric principles in computational systems dedicated to supporting collaborative creativity. A set of guiding principles are highlighted within the human-centric principles to guarantee that computational systems supporting collaborative creativity are designed, developed, and implemented in a way that is consistent with human traits, behaviours, and preferences. The result of this paper enhances user engagement in collaborative creativity and innovation practices, optimize creativity and innovation, improve users trust and satisfaction, enhance inclusivity, and improve effective communication, adaptability, and feasibility
Nonlinear Model Predictive Control for Optimal Dose Administration in Radiotherapy
No full textPart 3: Human-Centric Biomedical SystemsInternational audienceThis work discusses the nonlinear modeling of healthy and cancer cell population growth under the influence of radiotherapy, and proposes predictive control techniques to determine the optimal dose for tumor control, while sparing surrounding healthy tissue. Radiation effects are modelled by a linear-quadratic formalism, coupled with a novel population-specific delayed dose response. Numerical simulations of the open- and closed-loop system are conducted, and robustness against model uncertainty is studied. Results illustrate the controller’s performance when dealing with imperfect information and unexpected system behavior, and how it can be tuned to produce the desired treatment outcome. However, optimal operation is conditioned by a limited prediction horizon, as well as strict adherence to treatment schedules and dose restrictions
A Novel Analogue Computing System in HiL for Electric Traction
No full textPart 7: Electronic SystemsInternational audienceTechnological development in the field of system controllers (SC) for electric traction (ET) has increased exponentially in the recent years. Most notable are the SC that enable flexibility by programming algorithms specifically designed and adapted for efficiency and safety. This flexibility requirement usually leads to the elaboration of expensive ET systems, demands to implement quickly and efficiently a new method of control, new algorithms. To avoid the subsequent unwanted result, the higher cost of the newer systems, it is therefore essential to test the proper functioning of the new SC both quickly and realistically, but safely. Typically, the Hardware-in-Loop (HiL) method is used, where the ET, or its building blocks are simulated in a near to real environment. This method requires the fastest computing hardware, resulting in expensive devices with high power consumption and their own anomalies. This article considers only a part of the HiL, the fast-computing equipment, usually based on Field Programmable Gate Arrays (FPGA). This novel method for mathematical treatment is expected to be efficient but economical and can provide quick results for an almost infinite number of elements computed in Real Time (RT). The new method is based on “analogue computing” building blocks, that permit a new reconfigurable algorithm made part of the HiL. This analogue-computing based system that is proposed here has neither similar to the well-known analogue computers of the 1940s–1950s, nor is the Simulink of Matlab program. Just the opposite, the proposed fast computing inside the HiL is proposed as a substitution of the classic decimal mathematical form of computation, as is the FPGA. This new calculation method, when included in the HiL is expected to bring a high precision and be highly immune to interferences
Mixed Reality and 3D Modelling Role in Cultural Heritage Preservation as a Pathway to Sustainable Heritage and Management
No full textPart 3: The 1st Workshop on “AI Applications for Achieving the Green Deal Targets” (ΑΙ4GD)International audienceThe challenging task of protecting cultural heritage involves many different techniques, such as 3D modeling, augmented reality (AR), virtual reality (VR), and conventional methods. In order to gain a greater understanding how cultural heritage preservation techniques have evolved, this study will examine into how conventional approaches have given way to the integration of cutting-edge technologies, with a particular emphasis on Mixed Reality (MR) and 3-dimensional (3D) modeling. Through an investigation of theoretical frameworks in cultural heritage studies and technology adoption theories, the primary objective is to provide an in-depth understanding of the critical assessment and limitations inherent in the application of MR and 3-D modeling. Through an overview of application cases encompassing site selection, 3D models and visualizations, and MR demonstrations, the findings section will offer insights into the implications for the safeguarding of cultural heritage. Taken into account, the use of 3D modeling to the preservation of cultural heritage offers up new avenues for advocacy, interpretation, and involvement, enabling people to actively participate in the preservation of our shared cultural past
Partners in Design: Insights from an Innovative Education for Sustainable Development Module Design Process
No full textPart 5: ICT Curriculum and EducationInternational audienceThis paper presents a case study of an innovative module design process for education for sustainable development in higher education, specifically in digital innovation to achieve the Sustainable Development Goals that the authors were charged to create. An analysis of the goals of education for sustainable development led the authors to identify intercultural learning groups and authentic situated case studies as key components of an effective module design. This presented the research problem of how to identify both situated, innovative and socio-culturally appropriate development case studies, and groups of learners from culturally diverse locations with whom to partner for the creation of intercultural learning groups. This qualitative reflective case study presents the approach undertaken whereby the authors engaged with higher educational institutions engaged on the ground with sustainability initiatives in key countries (India, Uganda, and Ethiopia) to both identify appropriate case studies for collection and potential student group partners for the proposed roll out of the finished module. The experience is described and challenges and opportunities to this approach presented and discussed