Reviewerly/exHarmony huggingface dataset:
IoTa: Fine-Grained Traffic Monitoring for IoT Devices via Fully Packet-Level Models

With Internet-of-Things (IoT) devices gaining popularity, dedicated monitoring systems which accurately detect intrusion traffic for them are in high demand. Existing methods mainly use statistical spatial-temporal traffic features and machine learning models. Their practicality has been limited due to the lack of detection ability for stealthy and tricky attacks, diagnostic utility and long-term performance. To address these problems and motivated by the simplicity of mini IoT devices, we propose to construct fully packet-level models to profile traffic patterns for IoT devices by constructing automaton for short flow and long flow, where the length and direction of each packet are the representative features. We apply these fine-grained models to design and develop a traffic monitoring system, namely <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IoTa</small> , to detect intrusion traffic for IoT devices. <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IoTa</small> matches the ongoing traffic with patterns extracted from normal traffic traces. With visible and interactive traffic profiles, <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IoTa</small> can generate interpretable alerts and is available for long-term use under reasonable human efforts. Evaluations on dozens of common IoT devices show that <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IoTa</small> can achieve excellent detection accuracy (nearly perfect recalls and always over 0.999 precisions) for various intrusion traffic covering the complete kill chains. Incorrect detection results can be compensated for by error recovery mechanisms and the understandable alert context can be used by the operator to enhance the system. The diagnostic utility and little alert weariness are recognized by the experienced operators.
CoLaNet: Adaptive Context and Latent Information Blending for Face Image Inpainting

Face inpainting, the task of filling up missing regions in a face image plausibly, has witnessed great advances with deep learning-based approaches. To fill in the missing region, existing methods either use information from the surrounding visible region of the input image itself (i.e., context) or use prior knowledge obtained from the training data (i.e., latent). However, we find that exclusive usage of the two types of information is sub-optimal; whether the context-based approach is effective or the latent-based approach is effective is different for each missing region. To this end, we propose CoLaNet, a novel framework that adaptively blends context and latent information to inpaint face images. Specifically, the two types of information are balanced based on the attention between the missing region and the rest of the image. The regions strongly correlated to the visible region leverage context information more. Consequently, the adaptive utilization of context and latent information leads to better inpainting performance in various face images.
A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery

New intent discovery is of great value to natural language processing, allowing for a better understanding of user needs and providing friendly services. However, most existing methods struggle to capture the complicated semantics of discrete text representations when limited or no prior knowledge of labeled data is available. To tackle this problem, we propose a novel clustering framework, USNID, for <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">u</b> nsupervised and <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</b> emi-supervised <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</b> ew <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</b> ntent <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</b> iscovery, which has three key technologies. First, it fully utilizes of unsupervised or semi-supervised data to mine shallow semantic similarity relations and provide well-initialized representations for clustering. Second, it designs a centroid-guided clustering mechanism to address the issue of cluster allocation inconsistency and provide high-quality self-supervised targets for representation learning. Third, it captures high-level semantics in unsupervised or semi-supervised data to discover fine-grained intent-wise clusters by optimizing both cluster-level and instance-level objectives. We also propose an effective method for estimating the cluster number in open-world scenarios without knowing the number of new intents beforehand. USNID performs exceptionally well on several benchmark intent datasets, achieving new state-of-the-art results in unsupervised and semi-supervised new intent discovery and demonstrating robust performance with different cluster numbers.
Enhancing Cyber Resilience Management: Exploring Attributes in the Context of Security and Resilience

Organizations face increasing cyber risks and threats due to widespread dependency on cyberspace. Approaches to understanding and managing cyber security have also become demanding due to the challenges involving constantly changing technologies and sophisticated cyberattacks. The existing cybersecurity models primarily focus on security-related standards based on the traditional perspective of protection and prediction. In volatile cyberspace, existing approaches are considered insufficient in addressing risk. Cyber resilience is recommended as the way forward; however, it is a multi-faceted construct rooted in diverse attributes, resulting in a fragmented understanding of how to manage the security to achieve it. This research paper aims to identify fundamental attributes that enable organizations to be resilient by enhancing security measures. The study examines underlying concepts of cybersecurity and resilience by reviewing existing frameworks, models, studies, and surveys from industry practitioners. It employs exploratory study to refine the theoretical framework and deduces towards proposing a model featuring seven main variables: Rationale, Reliability, Readiness, Resistance, Robust, Rebound, and Reflective across the Physical, Logical, and Social cyber domains. The study's findings highlight the significance of the attributes in the dimensions of cyberspace domain areas, adding scientific evidence to the theoretical basis of the model. This study offers valuable guidance on improving cyber resilience management as it considers all the aspects in which the organization operates, providing coverage of possible factors that may lead to cyber risk exploitation. The study also provides insight to industry practitioners and policymakers on improving cyber security from the aspect of resilience.
A comparative analysis of converters of tabular data into image for the classification of Arboviruses using Convolutional Neural Networks

Tabular data is commonly used in business and literature and can be analyzed using tree-based Machine Learning (ML) algorithms to extract meaningful information. Deep Learning (DL) excels in data such as image, sound, and text, but it is less frequently utilized with tabular data. However, it is possible to use tools to convert tabular data into images for use with Convolutional Neural Networks (CNNs) which are powerful DL models for image classification. The goal of this work is to compare the performance of converters for tabular data into images, select the best one, optimize a CNN using random search, and compare it with an optimized ML algorithm, the XGBoost. Results show that even a basic CNN, with only 1 convolutional layer, can reach comparable metrics to the XGBoost, which was trained on the original tabular data and optimized with grid search and feature selection. However, further optimization of the CNN with random search did not significantly improve its performance.
Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data

Abstract: Big data analytics (BDA) is a systematic approach for analyzing and identifying different patterns,relations, and trends within a large volume of data. In this paper, we apply BDA to criminal data where exploratory data analysis is conducted for visualization and trends prediction. Several the state-of-the art data mining and deep learning techniques are used. Following statistical analysis and visualization, some interesting facts and patterns are discovered from criminal data in San Francisco, Chicago, and Philadelphia. The predictive results show that the Prophet model and Keras stateful LSTM perform better than neural network models, where the optimal size of the training data is found to be three years. These promising outcomes will benefit for police departments and law enforcement organizations to better understand crime issues and provide insights that will enable them to track activities, predict the likelihood of incidents, effectively deploy resources and optimize the decisionmaking process.
Preparing Auditors to Evaluate Blockchains Used to Track Tangible Assets

SUMMARY This article summarizes “Tracking Tangible Asset Ownership and Provenance with Blockchain” (Sheldon 2022), which introduces auditors to the risks of using blockchain’s shared repository to track assets in the physical world. The underlying challenge is keeping the status of tangible assets aligned with their digital representations on a blockchain. In response, the summary focuses on the parties, technologies, and processes that make this task complex. The summary begins with an overview of how blockchain can be used to track tangible assets, then discusses four stages of tracking tangible assets with blockchain: (1) design and governance of a blockchain, (2) asset creation, (3) asset transfer, and (4) asset retirement. Based on the risks highlighted in these four stages, the summary presents a framework of risk considerations and control objectives that auditors can use to evaluate the extent to which a blockchain serves as a reliable repository for tracking tangible assets.
PREREQUISITES AND OPPORTUNITIES FOR IMPORT SUBSTITUTION OF SOFTWARE IN THE TRAINING OF SPECIALISTS IN RUSSIAN UNIVERSITIES

The formation of digital competencies among students is a priority task of the vocational education system. The current system of training digital economy personnel in universities is focused on meeting the immediate needs of the economy and production. Educational institutions produce specialists who are used to working with foreign solutions in the field of software. This is due to the fact that for a long time, software from Western developers has been used (and continues to be used to this day) in all sectors of the economy and public administration. In the current situation, when the import substitution of information technologies has become an indispensable condition for the stability of the functioning of any Russian enterprise, it is necessary to immediately make adjustments to the content of training programs, which is reflected in the strategy of transition of educational institutions of higher education to the preferential use of domestic software.
ORGANIZATION OF EDUCATIONAL PRACTICES FOR RESEARCH WORK IN ART EDUCATION WITH IN THE FRAMEWORK OF THE FEDERAL STATE EDUCATIONAL STANDARD, TAKING INTO ACCOUNT PROFESSIONAL STANDARDS

Modern Federal State educational standards of the third generation provide for mandatory compliance with Professional standards in the preparation of curricula, both in bachelor’s and master’s degrees, in the Field of professional activity and the sphere ofprofessional activity. The achievability of the tasks set is possible with the competent building of a system of practices. A special role among which is “Research work”. The article presents the experience of organizing educational practices for research work in art education, taking into account the federal state standards of the new generation.
PERSPECTIVE-ADVANCING LEARNING TECHNOLOGY AND ITS CORRELATION INTO THE ELECTRONIC INFORMATION EDUCATIONAL ENVIRONMENT AS A MECHANISM FOR THE FORMATION OF PROFESSIONAL COMPETENCIES

The article is devoted to the consideration of advanced learning technology as a means of optimizing the formation ofprofessional competencies of students of an educational organization of the Ministry of Internal Affairs of Russia. The advantages of this technology, structural characteristics are described. Interdisciplinary connections are considered as the main factor in the preparation of tasks of an integrative nature, taking into account professional activities.
MORAL EDUCATION OF YOUNGER SCHOOLCHILDREN IN INSTITUTIONS OF SOCIO-CULTURAL SPHERE THROUGH MULTI- AND VIDEO CONTENT

The article deals with the problem of moral education of younger schoolchildren. The authors emphasize the role of pedagogical influence through cartoon content in the formation of the moral image of younger schoolchildren. The relevance of this approach is due to the aggressiveness and blurring of the pedagogical potential of modern video culture and cartoon content, which have a negative impact on the moral and mental health of younger schoolchildren. The success of solving this problem is seen in the integration of the educational capabilities of various social institutions, including institutions of the socio-cultural sphere, which possess methods of using the capabilities of multicontent in the moral education of younger schoolchildren.
CONDITIONS OF SOCIAL AND PROFESSIONAL ADAPTATION OF BACHELORS IN THE PROCESS OF PREPARATION FOR PEDAGOGICAL ACTIVITY

The article deals with the issues of adaptation of bachelors to professional and pedagogical activity. The features of individual capabilities and abilities of a person at the stage of immersion in new social conditions of an educational institution are revealed and the main difficulties of adaptation measures are presented. The complex of organizational and methodological conditions allowing to reduce the time and provide a comfortable environment for the adaptation of bachelors in the process of preparation for pedagogical activity is considered. Introduction of didactic tools and educational resources into the information space of the university, allowing them to be actively used in the process of professional training of bachelors.
EXPERIMENTAL STUDY OF THE ATTITUDE OF THE TEACHER OF ADDITIONAL EDUCATION TO SELF-DIRECTED LEARNING

The article touches upon the problem of self-directed learning of the teacher of additional education. The results of the questionnaire of teachers of additional education institutions regarding the importance of self-directed learning for their personal and professional growth, their perception of key concepts of self-directed learning, preferences in terms of forms of self-directed learning are analyzed. Conclusions are drawn regarding the need for organizational and methodological support for self-directed learning.
PRACTICEOFPEDAGOGICALSYNERGETICS: EXPERIENCE OF SIMULATION OF EDUCATIONAL TECHNOLOGIES

The algorithms of modeling pedagogical activity, which are based on a synergetic approach, are considered. The study was conducted in order to determine the degree of influence of the synergy of interaction of various educational technologies on the effectiveness of personality-oriented learning. It is shown that the construction of pedagogical activity, which is based on the synergy of interaction of diverse methodological techniques, ensures the advanced formation of needs for the development and acquisition of knowledge.
THE USE OF AN INTERACTIVE MODEL IN THE STUDY OF THE DISCIPLINE "MATHEMATICS"

The article discusses the use of modern learning technologies in the educational process. The possibility of using interactive digital content to consolidate communication skills in the framework of research, classroom and extracurricular work with students is analyzed.
METHODOLOGICAL FEATURES OF CONSTRUCTING A COURSE OF DIFFERENTIAL EQUATIONS IN ORDER TO FORM A HOLISTIC PICTURE OF THE STUDENT'S WORLD

The article proposes a methodological construction of a course of differential equations aimed at forming a holistic picture of the student’s world. Its features and differences in comparison with the classical university course are revealed. The questions about the selection of the content, the choice of methods and means of solving differential equations, the construction of a diagnostic apparatus aresolved The provisions of the system-activity approach, theoretical statements of practice-oriented learning, methods and techniques of mathematical modeling are implemented.
THE CONCEPT OF MASTER'S DEGREE MANAGEMENT BASED ON EDUCATIONAL AND PROFESSIONAL MANAGEMENT

This publication is devoted to the problem of updating approaches to the management of master’s degree training in the conditions of the withdrawal of the national higher school from the Bologna Agreements. The arguments confirming the relevance, significance and timeliness of the study of this phenomenon are presented. The author’s vision of optimizing the management of master’s training is presented on the example of the branch of physical culture and sports. The publication reflects conceptual approaches to the scientific support of the management of master’s degree training in the field of physical culture and sports on the basis of educational and professional management, the content of the main basic conceptual attitudes is disclosed in the thesis.
STUDY OF THE LEVEL OF STUDENTS' LEGAL CONSCIOUSNESSAND MEASURES FOR ITS FORMATION

The article deals with the relevance of the current situation of weak or even absent legal consciousness of university students, specifies its causes and proposes countermeasures to strengthen the legal consciousness ofuniversity students. The aim of this work is to investigate the degree of formation of students’legal consciousness, in relation to various spheres of life activities and moral perceptions related to the legal consciousness of the individual. The result of this work should be the development and implementation of theoretically and empirically grounded program of formation of legal consciousness and legal competence of future specialists.
PEDAGOGICAL SUPPORT OF THE PROCESS OF ADAPTATION OF STUDENTS IN THE CONDITIONS OF VOCATIONAL TRAINING

The article discusses the problem of adaptation of students in the process of vocational training. The author’s position on the need to develop and apply the technology of pedagogical support at the stages of comprehensive adaptation of students in the process of professional training is presented. The possibilities of designing pedagogical conditions that allow organizing the educational process using interactive forms, technically diversifying the forms of independent activity, actively using the means of professional motivation to develop an individual trajectory of personal development of students are analyzed.
USE OF MULTIMEDIA RESOURCES IN THE PRACTICE OF TEACHING MATHEMATICS

The article is devoted to the study of the effectiveness of the process of implementing multimedia resources in the practice of teaching mathematics as an important pedagogical problem in the conditions of the modern information society. The information and educational space based on the active use of multimedia technologies is, on the one hand, a subsystem of the traditional educational process, on the other hand, an independent educational and cognitive structure that contributes to the formation of a creative personality, the activation of educational activities based on innovative software products, thanks to which classes become more visual and meaningful. An equally important direction in the modern information and educational environment is the provision of software for students to independently comprehend the theoretical material in mathematics and its application in solving practical problems. The article presents ideas for the use of didactic techniques, forms and methods for improving the educational activities of students, discusses the possibilities for developing the cognitive activity of schoolchildren based on information and communication technologies, their creative potential and fostering interest in the study of mathematical disciplines.
IMPLEMENTATION OF A CREATIVE APPROACH IN THE EDUCATIONAL ACTIVITY OF A TEACHER OF A MODERN UNIVERSITY

This article analyzes the experience of educational activities carried out in the university environment on the basis of a creative approach. In his scientific understanding, the author relies on many years ofpedagogical practice, implemented methods of teaching certain disciplines on the humanities in the close relationship close relationship of theory and practice. In the materials provided, pedagogical techniques aimed at developing the cognitive interest of students, increasing their intellectual creative potential, motivation for the qualitative development of a specific subject field are revealed using particular examples. The topic and content of the article in scientific and practical terms are of particular interest to novice teachers, who are established in the authoritative pedagogical community.
ON THE EDUCATIONAL ENVIRONMENT OF THE UNIVERSITY AS A SPACE FOR THE FORMATION OF THE COMMUNICATIVE TOLERANCE OF STUDENTS

In this paper, the authors talk about the organic relationship between classroom and extracurricular activities for the formation and development of a number of universal competencies among students. They consider the educational environment of the university as a space for the effective formation of students' communicative tolerance.
THE ROLE OF FIELD RESEARCH IN THE FORMATION OF SCIENTIFIC THINKING AMONG STUDENTS OF NATURAL SCIENCES

The article examines the role of students’ research work under the guidance of a university teacher, using the example of seasonal field research, using interdisciplinary connections within the framework of natural science training areas for the formation and development of a number of universal competencies among students that contribute to scientific thinking and professional literacy.
ONLINE TECHNOLOGY AND IMAGING PROCESS

The article deals with the issue of using modern technologies in the implementation of the concept of continuous education, enshrined in all relevant state documents. A brief analysis of the scientific and pedagogical literature on the topic of the study showed that in the 70s of the last century the idea of lifelong education received support in almost all countries and became the main principle of educational transformation. At present, the widespread use of information and communication technologies in educational practice creates the possibility of distance learning. The article discusses the advantages and disadvantages of using online technologies in higher education as a form of distance learning. Particular attention is paid to the possibilities of online learning in various specialties and areas of study. Based on the results of a survey conducted among students of various forms of education, a comparative analysis of their readiness to use information technology was carried out.