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IDS-INT:Intrusion detection system using transformer-based transfer learning for imbalanced network traffic

Digital Communications and Networks 2024年第1期10卷 190-204页

作者： Farhan Ullah Shamsher Ullah Gautam Srivastava Jerry Chun-Wei Lin School of Software Northwestern Polytechnical UniversityXian710072ShaanxiChina Knowledge Unit of Systems and Technology University of Management and TechnologySialkot 51040Pakistan Department of Math and Computer Science Brandon UniversityBrandonMB R7A 6A9Canada Department of Computer Science and Math Lebanese American UniversityBeirut1102Lebanon Western Norway University of Applied Sciences BergenNorway Research Centre for Interneural Computing China Medical UniversityTaichungTaiwanChina

A network intrusion detection system is critical for cyber security against llegitimate *** terms of feature perspectives,network traffic may include a variety of elements such as attack reference,attack type,a subcategory of attack,host information,malicious scripts,*** terms of network perspectives,network traffic may contain an imbalanced number of harmful attacks when compared to normal *** is challenging to identify a specific attack due to complex features and data imbalance *** address these issues,this paper proposes an Intrusion Detection System using transformer-based transfer learning for Imbalanced Network Traffic(IDS-INT).IDS-INT uses transformer-based transfer learning to learn feature interactions in both network feature representation and imbalanced ***,detailed information about each type of attack is gathered from network interaction descriptions,which include network nodes,attack type,reference,host information,***,the transformer-based transfer learning approach is developed to learn detailed feature representation using their semantic ***,the Synthetic Minority Oversampling Technique(SMOTE)is implemented to balance abnormal traffic and detect minority ***,the Convolution Neural Network(CNN)model is designed to extract deep features from the balanced network ***,the hybrid approach of the CNN-Long Short-Term Memory(CNN-LSTM)model is developed to detect different types of attacks from the deep *** experiments are conducted to test the proposed approach using three standard datasets,i.e.,UNsWNB15,CIC-IDS2017,and *** explainable AI approach is implemented to interpret the proposed method and develop a trustable model.

关键词： Network intrusion detection Transfer learning Features extraction Imbalance data Explainable AI Cybersecurity

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Designing learning services: From content-based to activity-based learning systems 05

Designing learning services: From content-based to activity-...

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14th International World Wide Web Conference, WWW2005

作者： Karampiperis, Pythagoras Sampson, Demetrios Advanced e-Services for the Knowledge Society Research Unit Informatics and Telematics Institute Centre for Research and Technology Hellas 42 Arkadias Street Athens GR-15234 Greece Department of Technology Education and Digital Systems University of Piraeus 150 Androutsou Street Piraeus GR-18534 Greece

ISBN: (纸本)1595930515

The need for e-learning systems that support a diverse set of pedagogical requirements has been identified as an important issue in web-based education. Until now, significant R&D effort has been devoted aiming towards web-based educational systems tailored to specific pedagogical approaches. The most advanced of them are based on the IEEE Learning technology systems Architecture and use standardized content structuring based on the ADL Sharable Content Object Reference Model in order to enable sharing and reusability of the learning content. However, sharing of learning activities among different web-based educational systems still remains an open issue. The open question is how web-based educational systems should be designed in order to enable reusing and repurposing of learning activities. In this paper we propose an authoring system, refered to as ASK-LDT that utilizes the Learning Design principles to provide the means for designing activity-based learning services and systems.

关键词： Reusability

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Exploiting the learning object paradigm for supporting web-based learning communities

Exploiting the learning object paradigm for supporting web-b...

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4th IASTED International Conference on Web-Based Education, WBE 2005

作者： Chatzinotas, Symeon Sampson, Demetrios Advanced E-Services for the Knowledge Society Research Unit Informatics and Telematics Institute Centre for Research and Technology Hellas 42 Arkadias Street Athens GR-15234 Greece Department of Technology Education and Digital Systems University of Piraeus 150 Androutsou Street Piraeus GR-18534 Greece

ISBN: (纸本)0889864802

Since the early stages of the World Wide Web, Web-based learning communities have been constantly developed online. Among the primary objectives of their members has been to share digital learning resources and increase the community's collective knowledge by communicating and collaborating online. Therefore, several web-based tools have been developed to allow the community members to exchange experiences and ideas. Moreover, research has shown that active learning is facilitated when the learners have the opportunity to interact with the actual learning material. Taking this into account, a number of tools have been developed, which allowed the community members to collaboratively discuss and annotate the learning content. At the same time, the sharing of digital learning resources has been boosted the last few years by the emergence of the learning object paradigm, which defines learning material in terms of independent and self-standing objects that are predisposed to reuse in multiple instructional contexts. In this paper, we discuss how the learning object paradigm can be exploited to support the objectives of the web-based learning communities and we demonstrate the advantages of this approach.

关键词： E-learning

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Soundscape analysis by means of a neural network-based acoustic summary

Soundscape analysis by means of a neural network-based acous...

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40th International Congress and Exposition on Noise Control Engineering 2011, INTER-NOISE 2011

作者： Oldoni, Damiano De Coensel, Bert Boes, Michiel Van Renterghem, Timothy Dauwe, Samuel De Baets, Bernard Botteldooren, Dick Ghent University Department of Information Technology Sint-Pietersnieuwstraat 41 Gent B-9000 Belgium Gent B-9000 Belgium Ghent University KERMIT Research Unit Knowledge-based Systems Coupure links 653 Gent B-9000 Belgium

ISBN: (纸本)9781618392800

The importance of detecting and characterizing sound events in the context of soundscape analysis is more and more understood among acousticians, architects and urban planners. A compilation of typical sounds for a given location, supplemented with a selection of rare but salient sound events, can quickly and efficiently provide an overview of the specific soundscape. The main subject of this paper is to construct a computational model to automatically create such an acoustic summary, using a biologically inspired auditory processing model. In particular, a neural network approach is taken, using a self-organizing map (also called a Kohonen map). A series of psychoacoustic features extracted from the sound forms the input data of the model at each time step. Typically, the learning algorithm of self-organizing maps is strictly dependent on the frequency of occurrence of the input data. However, human perception and retrospective assessment of soundscapes depend on more than only the rate of occurrence of particular sounds. For example, salient events will be remembered more vividly, even if they occur only rarely. To take into account this effect, a specific unsupervised continuous learning algorithm is used, which promotes memorizing less often occurring sounds too. At the end of training, the self-organized map represents an exhaustive acoustic summary of the soundscape at a particular location, and can be used to retrieve and listen to particular sound events.

关键词： Self organizing maps

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Current state and future trends: A citation network analysis of the learning analytics field 14

Current state and future trends: A citation network analysis...

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4th International Conference on Learning Analytics and knowledge, LAK 2014

作者： Dawson, Shane Gašević, Dragan Siemens, George Joksimovic, Srecko Learning and Teaching Unit University of South Australia Australia School of Computing and Information Systems Athabasca University Canada Learning Innovation and Networked Knowledge Research Lab University of Texas Arlington United States School of Interactive Arts and Technology Simon Fraser University Canada

ISBN: (纸本)1595930361

This paper provides an evaluation of the current state of the field of learning analytics through analysis of articles and citations occurring in the LAK conferences and identified special issue journals. The emerging field of learning analytics is at the intersection of numerous academic disciplines, and therefore draws on a diversity of methodologies, theories and underpinning scientific assumptions. Through citation analysis and structured mapping we aimed to identify the emergence of trends and disciplinary hierarchies that are influencing the development of the field to date. The results suggest that there is some fragmentation in the major disciplines (computer science and education) regarding conference and journal representation. The analyses also indicate that the commonly cited papers are of a more conceptual nature than empirical research reflecting the need for authors to define the learning analytics space. An evaluation of the current state of learning analytics provides numerous benefits for the development of the field, such as a guide for under-represented areas of research and to identify the disciplines that may require more strategic and targeted support and funding opportunities. Copyright © 2014 by the Association for Computing Machinery, Inc.

关键词： Social networking (online)

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Authoring web-based learning scenarios based on the IMS learning design: Preliminary evaluation of the ask learning designer toolkit

Authoring web-based learning scenarios based on the IMS lear...

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ACS/IEEE International Conference on Computer systems and Applications

作者： D. Sampson P. Karampiperis P. Zervas Department of Technology Education and Digital Systems University of Piraeus Greece Advanced eServices for the Knowledge Society Research Unit Centre for Research and Technology Hellas Greece

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Supporting Vocational Education and Training through Mobile Learning Environments

Supporting Vocational Education and Training through Mobile ...

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International Conference on Advanced Learning Technologies (ICALT)

作者： D. Sampson Department of Technology Education and Digital Systems University of Piraeus Greece Advanced e-Services for the Knowledge Society Research Unit Centre for Research and Technology Hellas Greece

As with many emerging paradigms, there are several attempts to define m-learning. According to Kinshuk et. al. (2003), "m-learning is defined as the ability of using handheld devices to access learning resources". Vavoula and Sharpies (2002) claim that there are "three ways that learning can be considered mobile, that is, in terms of space; in different areas of life, and with respect of time", whereas Wood (2003) considers that "m-learning refers to the use of mobile and handheld IT devices, such as PDAs, mobile phones, laptops and tablet PCs, in teaching and learning". Within this context, the SMILE Project (www. ask4research. info/smile) aims in investigating some common questions about mobile training: Is it just new technology-driven mean of delivering training content? Does it facilitate new enhanced methods of learning and training (i.e., situated learning)? Does it call for the development and validation of new pedagogical approaches?

关键词： Vocational training Educational technology Personal digital assistants Handheld computers Mobile handsets Best practices Guidelines Educational programs Digital systems Informatics

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Multi-criteria decision making for broker agents in elearning environments

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Operational Research 2002年第3期2卷 347-361页

作者： Manouselis, Nikos Sampson, Demetrios Department of Technology Education and Digital Systems University of Piraeus Peiraias Greece Advanced eServices for the Knowledge Society Research Unit (ASK) Athens Greece Informatics and Telematics Institute (ITI) Athens Greece

In this paper we deal with the problem of enhancing the decision making abilities of broker agents in digital learning resources brokerage systems. Following a multi-criteria decision making approach, we provide broker agents with the means to qualitatively represent the user preferences and efficiently evaluate the proposed alternatives. Learner modelling and digital learning resources description parameters are inferred by a classic cognitive style modelling method, the Honey and Mumford model. We study two different aspects in modelling the learning resources recommendation problem: first formulated as a decision problem for the agent representing the learner by using a unique synthesis criterion approach; second, as a decision problem for the agent representing the content provider by using an approach based on the UTA method. Both aspects are studied in the context of a generic agent-based brokerage architecture, with broker agents requesting, describing and offering e-learning courses.

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Enhancing Educational Metadata with Science Education Information

Enhancing Educational Metadata with Science Education Inform...

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International Conference on Advanced Learning Technologies (ICALT)

作者： Demetrios Sampson Panayiotis Zervas Department of Technology Education and Digital Systems University of Piraeus Greece Advanced eServices for the Knowledge Society Research Unit Informatics and Telematics Institute Centre for Research and Technology Hellas Greece

ISBN: (纸本)9780769531670

During the past years a large amount of science education digital content became available worldwide in the form of science museum collections, digital repositories and libraries. An important factor, in order to make search and retrieval of science education content more efficient is the quality and quantity of educational metadata. Although the IEEE LOM Standard is used for describing educational resources with metadata, it beyond its scope to directly support the description of science curriculum related characteristics. In this paper we target addressing this issue, that is, to propose an IEEE LOM Science Education Application Profile that can be used for tagging science education resources.

关键词： Educational technology Tagging Software libraries Content based retrieval Guidelines Computer science education Wearable computers Digital systems Societies Informatics

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The evolution of educational metadata:from standards to application profiles

The evolution of educational metadata:from standards to appl...

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International Conference on Advanced Learning Technologies (ICALT)

作者： D. Sampson Department of Technology Education and Digital Systems University of Piraeus Piraeus Greece Advanced e-Services for the Knowledge Society Research Unit Centre for Research and Technology Hellas Athens Greece

A number of international efforts have been initiated during the past few years leading to the definition of educational metadata specifications for the commonly agreed description of educational resources. As more and more applications are implemented using educational metadata, it becomes obvious that it would be difficult for a single metadata model to accommodate the functional requirements of all applications. As a result, application profiles aim to facilitate the application-oriented implementation of educational metadata specifications. In this paper we discuss the issue of standardization vs. conversion and will present different existing specifications with the relative merits of each one, we will examine the fundamental techniques for the definition of application profiles and will focus on discussing interoperability issues in the case of application profiles. Finally, we will demonstrate the use of a tool which offers a graphical user interface for straightforward metadata authoring and at the same time has the necessary suppleness to easily incorporate new educational metadata specifications and/or application profiles.

关键词： Standardization Educational technology Costs Informatics Telematics Digital systems Graphical user interfaces Natural languages Communities Conference management

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