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The sheer volume of applications, data and users working in the cloud creates an ecosystem far too large to protect against possible attacks. Several attack detection mechanisms have been proposed to minimize the risk of data loss backed up to the cloud. However, these techniques are not reliable enough to protect them; this is due to the reasons of scalability, distribution and resource limitations. As a result, Information Technology Security experts may feel powerless against the growing threats plaguing the cloud. For that, we provide a reliable way to detect attackers who want to break into cloud data. In our framework, we have no labels and no predefined classes on historical data, and we wish to identify similar models to form homogeneous groups from our observations. Then, we will use a k-means clustering algorithm to handle unlabelled data, and a combination approach of clustering and classification. We start with a k-means clustering algorithm for generating a labelled dataset from an unlabelled dataset. By harnessing the power of a labelled dataset, we can train the extreme learning machine classifier to become an exceptional tool for intrusion detection. By utilizing this resampling technique, we can generate additional data sets to significantly enhance the system's capability to identify and thwart attacks. The innovation of this approach stems from its integration of clustering and classification into a unified learning model. The cutting-edge framework has been successfully implemented on the renowned KDD99 dataset, producing impressive numerical results that not only affirm its exceptional accuracy but also highlight the significant time-saving advantages of this innovative approach. [ABSTRACT FROM AUTHOR]

The ever-accelerating growth in scientific literature presents a formidable challenge for researchers and students aiming to stay abreast of the most recent findings. Previous solutions, which include content-based, collaborative-based, and graph-based filtering recommendation systems, have their own limitations, primarily their inability to efficiently manage time-consuming search engine queries, a frequent issue for students. To address these constraints, we introduce a novel tool-a multi-agent system with an intelligent filtering mechanism. This system automates the literature search and filtering process, generating search queries independently and conducting comprehensive online searches. The system comprises autonomous agents that collectively gather and analyze data from a myriad of sources. Utilizing sophisticated techniques, the intelligent filtering mechanism leverages user preferences, interests, and contextual information. Continuous learning from user feedback allows the system to iteratively refine its recommendations, providing a personalized user experience. A user-friendly interface has been developed to streamline the configuration of the search procedure, offering users an easy way to fine-tune their preferences. Evaluations indicate that our approach delivers superior performance, significantly improving the process of scientific literature recommendation. Our tool is designed to assist researchers and students by minimizing the manual effort required in literature search and filtering, thereby ensuring efficient access to pertinent information. By automating these labor-intensive tasks, our tool enables users to keep pace with the latest scientific discoveries with increased ease. [ABSTRACT FROM AUTHOR]

Currently, educational systems typically contain a wide range of items drawn from students' learning experiences, questions, problems, and other items. They are collected using modern computer-assisted learning platforms. These items can be grouped into Knowledge Components (KCs) using a similarity measure based on the learner's performance and the number of correct or incorrect answers. This approach leads to wrong assignment of items to the cluster with less interpretation of learners' skills. Consequently, looking for other performance parameters to enhance accuracy has become paramount. The subject's ability to respond to each item called latent trait includes hints, attempts and time response, which can ensure better accuracy and enhance clustering of different items into KCs. In this paper, we propose new similarity models based on combining Siamese Convolutional Neural Network (SCNN), cosine similarity and fuzzy logic systems for Kappa inter-rater agreement. These models aim to achieve efficient item grouping based on learners' performance and behavioral parameters. The proposed approach has been tested on Algebra and French Language datasets to experiment its performances. Experimental findings show the superiority of SCNN-Cosine in terms of clustering analysis measured by ARI, correlation, Calinski-Harabasz and Davies-Bouldin indices, less complexity and faster response, compared to Fuzzy-Kappa. [ABSTRACT FROM AUTHOR]

Algerian Virtual University AVUNET (Algerian Virtual University on the NET) will be a multilingual environment for distance learning and teaching by exploiting communication and information technologies in particularly the Internet and the hypermedia [1]. The objective of our work is to develop within AVUNET, an authoring package (AVUNET Author) that makes it possible for instructors who are not information technology specialists to create interactive learning modules within a distance teaching platform. A pedagogic model based on a conceptual network is used as a support for the construction system. Based on this model, the system will guide the user in the tree structure, by indicating the necessary concepts for comprehension of other concepts at a higher level. The users of the authoring module are instructors, whatever their information technology experience is. The content designed is made accessible to the learner through a computer connected to the network. Tests in real situation are being done at the University Ferhat Abbas (Setif Algeria) in collaboration with a group of instructors and students. This experience has helped us to outline a methodology to create interactive modular courses (bag pedagogic) accessible on Internet and CD-ROM. Keywords.- Authoring System, Virtual University, Distance Education, and Learner Evaluation., 1. INTRODUCTION The content is defined as a set of structured teaching and learning experiments (content objectives, skills objectives, specific objectives, different paths and progression rules, teaching and training activities, [...]

We presented an agent-based e-learning environment. Our aim was to allow many users to interact collectively and intelligently with the environment. In this cooperation model, human users and artificial agents carry out tasks in the learners' service. We define the internal structure of our kernel supposed to work within Internet/Intranet settings. Design was structured in three parts: individual learning space, collaborative space, and cooperative space. We advocate the employment of an agent-based approach, a suitable for two main reasons: agents were a natural metaphor of human acts, and the learning systems are generally complex. Prometheus methodology used for the design and emphasis placed on the agent-based features. Key words: Artificial agent, human agent, agent-based design, e-learning environment, cooperation, INTRODUCTION The incorporation of computer science and telecommunications has profoundly changed the implementation problems of learning systems. An e-learning environment is an individual and customizable implement allowing every user to [...]

In this study, we present users assistants for e-learning environment over the Web called AVUNET. It was made up of an educational server that allows access to the available courses on the site. The server was structured in pedagogical labs that respond to the user needs. It offers also a module for self-evaluation so that the user can evaluate his/her level. Trainers have created this facility very carefully to assure a detailed evaluation with very accurate solutions. Based on the model of 'telephone ring', the system proposes facilities for communication and collaboration in order to bring the trainers and the learners closer to each other. This forum of trainers and learners allow the users to exchange information and their experiences pedagogic. These experiences are acquired by the use of computer aided tools for virtual navigation through structured hypertext documents. The user actions during a learning or navigation session are analyzed. Key words: Authoring system, e-learning, content design, learner assistance, INTRODUCTION Among the potential of the advent of communication and information technologies, in the field of the e-learning, is the development of environments that support distance co-operative training. Within this [...]

Despite the recent research, the Web remains mainly constituted of an ever-growing network of documents. As it becomes easier to publish documents, as the number of users and thus publishers, increases and as the number of documents grows, searching for information is turning into a cumbersome and time-consuming operation. Because of the loose interconnection between documents, people have difficulty remembering where they have been and returning to previously visited pages. Navigation through the web faces problems of locating oneself with respect to space and time. The idea of graphical assistance navigation is to help users to find their paths in hyperspace by adapting the style of link presentation to the goals, knowledge and other characteristics of an individual user. We first introduced the concepts related to web navigation; then present an overview of different graphical navigation tools and techniques. We concluded by presenting a comparative table of these tools based on some pertinent criteria. Key words: Navigation helpers, cognitive overhead, disorientation, navigation map, INTRODUCTION The web is an open space of information, dynamic, distributed, heterogeneous and non-moderated. One notes that on the Web, sites appear and disappear, content is modified and it becomes [...]

Abstract: In this article, we are interested in the tasks collaborative resolution in elearning context, and in the use of information technology to support this activity. A part of this [...]

Navigating through hypermedia the user faces problems of locating oneself with respect to space and time. That is why there is a need to develop tools that can help the user locate himself to see where he has been browsing through the net during a particular navigation session through hypermedia. It is needed to offer the user a map of the visited sites, allowing him to have an explicit representation of virtual space. We first introduce the concepts related to hypermedia navigation; we then present an overview of different computer aided navigation tools and techniques. We conclude by presenting a comparative table of these tools based on some pertinent criteria. Keywords: Navigation, learning, hypermedia, hypertext, and navigation map., INTRODUCTION One notes that in hypermedia, sites appear and disappear, content is modified and it becomes impossible to master its organization. On the other hand, the web made it possible, [...]

Abstract: We Navigation through the Web has problems of positioning and space-temporal reference marks. Therefore, it's necessary to design some computer-aided tools to help the user to position himself in [...]

Abstract: An authoring system was presented in this study, 'AVUNET Author' which allows the creation of interactive learning object within a distance teaching platform on the Internet. For the conception [...]

This work is part of a learning environment that has virtual laboratories that are designed for distant practical work (Tele-PW). In these environments, Tele-PW is performed in two modes: individual and/or collaborative. In this paper, we are concentrating on the tele-collaborative distant practical work model. The work, presented in this paper, proposes an artificial agent called Synchronizer Coordinator Agent (SCA) to synchronize and coordinate the activities of a cognitive process in order to build and maintain a shared conception of a distant practical work between a set of learners. This agent provides certain features such as managing groups of learners, coordinating tasks, shared workspace among members of the Working Group. It is also responsible for the synchronization of workspace agents when they want to manipulate shared virtual objects simultaneously. We have chosen Petri nets to illustrate the principle of granting access to shared objects in the case of simultaneous requests. Experimental results show the effectiveness, of the artificial agent within any tele-collaborative/tele-cooperative learning situation. Several situations describe the geographical/time dispersion of learners and tutors in our system are considered during the system design phase. [ABSTRACT FROM AUTHOR]

The analysis of remote discussions is not yet at the same level as the face-to-face ones. The present paper aspires two-fold. On the one hand, it attempts to establish a suitable environment of interaction and collaboration among learners by using the speech acts via a semi structured synchronous communication tool. On the other, it aims to define behavioral profiles and interpersonal skills hybrid grid by matching the BALES' IPA and PLETY's analysis system. By applying the fuzzy logic, we formalize human reasoning and, thus, giving very appreciable flexibility to the reasoning that use it, which makes it possible to take into account imprecisions and uncertainties. In addition, the educational data mining techniques are used to optimize the mapping of behaviors to learner's profile, with similarity-based clustering, using Eros and PCA measures. In order to show the validity of our system, we performed an experiment on real-world data. The results show, among others: (1) the usefulness of fuzzy logic to properly translate the profile text descriptions into a mathematical format, (2) an irregularity in the behavior of the learners, (3) the correlation between the profiles, (4) the superiority of Eros method to the PCA factor in precision. [ABSTRACT FROM AUTHOR]

The objective of the works presented in this article is to study how we can integrate models from cognitive theories and ontologies for the construction of adaptive hypermedia. The goal is to provide the system capacity enabling it to carry out reasoning on descriptions obtained in order to automatically adapt resources and services offered to a learner based on preferences learning styles. We present ontology of domain. A learner ontology based on the theory of psychological types of MBTI (Myers-Briggs Type Indicator). Finally, we present a model of adaptation that generates personalized content by applying rules of structure and presentation. [ABSTRACT FROM AUTHOR]

The purpose of the present research is trying to determine if the reading comprehension instruction can be enhanced by an online reading environment to compensate for the lack of time devoted to the English course at Algeria, Batna Computer Science Department. Our main research question is trying to provide us with an answer to the following question whether an online learning of English as a Foreign Language university students' English reading comprehension should be embraced or avoided. The findings of the experiment revealed by the ANOVA's (ANalyse of VAriance) method that from practical side, a true integration of the Web in English language pedagogy can help poor students better their English and become somehow independent and confident readers and incite the teacher to be active in the teaching learning process. The paper concludes with some suggestions and recommendations we think, they are necessary for the implementation of an online reading comprehension environment in Algerian universities. [ABSTRACT FROM AUTHOR]