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E-Health and Bioengineering Conference

作者： Elena Zamsa Programming Systems department Institute of Mathematics and Computer Science IMI Chisinau Republic of Moldova

ISBN: (纸本)9781467375467

The article presents the design of an application interface for associated medical data visualization and management for neurologists in a stroke clustering and prediction system called Stroke MD. The goal of the system is to facilitate efficient visual data introduction and knowledge extraction based on a predictive model implementation. Aspects such as quality of the visualized data, type of the viewed data (risk factor groups, clustered groups, data alerts, conclusions etc.) and efficient user-software interaction directly influenced decisions about system design, in particular the design of the doctor's/patient's user interface sides, input methods and user-software interaction techniques, ending in to a hybrid setup of interface.

关键词： e-health medical software user interfaces stroke risk groups management systems

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Application of Machine Learning Techniques for Software Anomaly Detection

Application of Machine Learning Techniques for Software Anom...

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International Conference on Applied Mathematics & computer Science (ICAMCS)

作者： Veska Gancheva Department of Programming and Computer Technologies Faculty of Computer Systems and Technologies Technical University of Sofia Sofia Bulgaria

A rising variety of platforms and software programs have leveraged repository-stored datasets and remote access in recent years. As a result, datasets are more vulnerable to malicious attacks. As a result, network security has grown in importance as a research topic. The usage of intrusion detection systems is a well-known strategy for safeguarding computer networks. This paper proposes an anomaly detection method that blends rule-based and machine-learning-based methods. In order to construct the appropriate rules, a genetic algorithm is utilized. Principal component analysis is used to extract the relevant features aimed to improve the performance. The suggested method is validated experimentally using the KDD Cup 1999 dataset, which meets the requirement of using appropriate data. The proposed method is applied to detect and analyze four types of attacks in a well-known benchmark dataset: Neptune, Ipsweep, Pod, and Teardrop, utilizing Support Vector Machine, Decision Tree, and Naive Bayes algorithms. After testing the characteristics specified in the training phase, the data is classified into attack categories and normal behavior during the machine learning phase.

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Social Engineering Attacks Detection Approach 13

Social Engineering Attacks Detection Approach

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13th International Conference on Dependable systems, Services and Technologies, DESSERT 2023

作者： Lysenko, Sergii Vorobiov, Volodymyr Bokhonko, Oleksandr Gaj, Piotr Savenko, Oleg Woloszyn, Jacek Khmelnitsky National University Department of Computer Engineering and Information Systems Khmelnitsky Ukraine Silesian University of Technology Gliwice Poland Khmelnitsky National University Department of Computer Engineering and System Programming Khmelnitsky Ukraine Kazimierz Pulaski University of Technology and Humanities in Radom Department of Informatics and Teleinformatics Radom Poland

ISBN: (纸本)9798350396119

The paper focuses on the problem of technical social engineering attacks that encompass the manipulation of individuals to reveal sensitive information, execute actions, or breach security systems. These exploits frequently capitalize on human psychology, trust, and a lack of vigilance to attain unauthorized entry to networks, systems, or data. In contrast to traditional social engineering tactics that center on psychological manipulation, technical social engineering attacks employ technological means and strategies to manipulate and beguile individuals. The paper presents an attempt to detect social engineering attacks. The approach utilized four machine learning algorithms (decision tree, random forest, K-nearest neighbor, and extreme gradient boosting). The analysis is centered on data collected from network hosts, which may serve as indicators of a potential social engineering attack. The empirical results demonstrated high detection accuracy. © 2023 IEEE.

关键词： Cybersecurity

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The two year curriculum in computer programming at Purdue University Calumet campus 79

The two year curriculum in Computer Programming at Purdue Un...

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Proceedings of the tenth SIGCSE technical symposium on computer science education

作者： A. J. Adams John Maniotes Information Systems and Computer Programming Department Purdue University Calumet Campus Hammond Indiana

ISBN: (纸本)9781450374316

It is the intent of this paper to describe an implementation of a curriculum compatable with the ACM “Curriculum Recommendations and Guide-lines for the Community and Junior College Career Program in computer programming” (also known as the “Little Report”). In order to facilitate comparisons among curricula, this paper follows the “format” developed by members of the ACM C3S-CAJC working group.

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A general architecture for the authoring and the operationalization of e-learning applications with educational modelling languages 8

A general architecture for the authoring and the operational...

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8th International Symposium on Information and Communication Technologies Applied to Education, SIIE 2006

作者： Martínez-Ortiz, Iván Moreno-Ger, Pablo Sierra, Jose Luis Fernández-Manjón, Baltasar Centro de Estudios Superiores Felipe II Aranjuez Madrid Spain Department of Computer Systems and Programming Universidad Complutense de Madrid Fac. de Informática Madrid28040 Spain

The modelling of the educational processes and their operational support is a key aspect in the construction of more effective e-learning applications. Instructional models are usually described by means of an educational modelling language (EML). The EML used can be one of the available standards (e.g. IMS Learning Design), the customization of a standard to meet a specific application profile, or even a domain-specific EML specifically designed to best fit in the very particular needs of a learning scenario. In this paper we propose , a general authoring and operationalization architecture capable of dealing with all these possibilities in a highly modular and flexible way. We also outline a specific implementation of based on standard XML technologies and in the BPEL4WS workflow management language, and we describe how this implementation can be used to support IMS Learning Design.

关键词： E-learning

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Dipper Throated Optimization for Detecting Black-Hole Attacks inMANETs

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computers, Materials & Continua 2023年第1期74卷 1905-1921页

作者： Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Doaa Sami Khafaga Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

In terms of security and privacy,mobile ad-hoc network(MANET)continues to be in demand for additional debate and *** more MANET applications become data-oriented,implementing a secure and reliable data transfer protocol becomes a major concern in the ***,MANET’s lack of infrastructure,unpredictable topology,and restricted resources,as well as the lack of a previously permitted trust relationship among connected nodes,contribute to the attack detection burden.A novel detection approach is presented in this paper to classify passive and active black-hole *** proposed approach is based on the dipper throated optimization(DTO)algorithm,which presents a plausible path out of multiple paths for statistics transmission to boost MANETs’quality of service.A group of selected packet features will then be weighed by the DTO-based multi-layer perceptron(DTO-MLP),and these features are collected from nodes using the Low Energy Adaptive Clustering Hierarchical(LEACH)clustering *** is a powerful classifier and the DTO weight optimization method has a significant impact on improving the classification process by strengthening the weights of key features while suppressing the weights ofminor *** hybridmethod is primarily designed to combat active black-hole *** the LEACH clustering phase,however,can also detect passive black-hole *** effect of mobility variation on detection error and routing overhead is explored and evaluated using the suggested *** diverse mobility situations,the results demonstrate up to 97%detection accuracy and faster execution ***,the suggested approach uses an adjustable threshold value to make a correct conclusion regarding whether a node is malicious or benign.

关键词： Black-hole attack mobile ad-hoc network optimization dipper throated optimization

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A generative approach for user-centered, collaborative, domain-specific modeling environments

arXiv

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arXiv 2021年

作者： Zweiho, Philip Steffen, Bernhard Programming Systems Department of Computer Science Tu Dortmund University Dortmund44227 Germany

The use of low- and no-code modeling tools is today an established way in practice to give non- programmers an opportunity to master their digital challenges independently, using the means of model- driven software development. However, the existing tools are limited to a very small number of different domains such as mobile app development, which can be attributed to the enormous demands that a user has on such a tool today. These demands exceed the mere use of a modeling environment as such and require crosscutting concerns such as: easy access, direct usability and simultaneous collaboration, which result in additional effort in the realization of such tools. Our solution is based on the idea to support and simplify the creation of new domain-specific holistic tools by generating it entirely based on a declarative specification with a domain-specific meta-tool. The meta-tool Pyro demonstrated and analyzed here focuses on graph-based graphical languages to fully generate a complete, directly executable tool starting from a meta-model in order to meet all cross-cutting requirements. Copyright © 2021, The Authors. All rights reserved.

关键词： Specifications

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Annotation support for generic patches

Annotation support for generic patches

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International Workshop on Recommendation systems for Software Engineering (RSSE)

作者： Georg Dotzler Ronald Veldema Michael Philippsen Computer Science Department Programming Systems Group University of Erlangen-Nuremberg Erlangen Germany

In large projects parallelization of existing programs or refactoring of source code is time consuming as well as error-prone and would benefit from tool support. However, existing automatic transformation systems are not extensively used because they either require tedious definitions of source code transformations or they lack general adaptability. In our approach, a programmer changes code inside a project, resulting in before and after source code versions. The difference (the generated transformation) is stored in a database. When presented with some arbitrary code, our tool mines the database to determine which of the generalized transformations possibly apply. Our system is different from a pure compiler based (semantics preserving) approach as we only suggest code modifications. Our contribution is a set of generalizing annotations that we have found by analyzing recurring patterns in open source projects. We show the usability of our system and the annotations by finding matches and applying generated transformations in real-world applications.

关键词： Benchmark testing Pattern matching Databases Generators Java Semantics

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A filtered tuning method for a GPC controller

A filtered tuning method for a GPC controller

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IET Irish Signals and systems Conference (ISSC 2010)

作者： M.H. Schwarz C.S. Cox J. Börcsök Department of Computer architecture and System programming Safety Computer Technology University of Kassel Germany Control Systems Centre University of Sunderland UK Department of Computer architecture and System programming University of Kassel Germany

This paper presents a new tuning method based on model parameters identified in closed-loop. For classical controllers such as PI(D) controllers a large number of simple tuning methods for various application areas exist. However, when it comes to designing a generalised predictive controller (GPC) four parameters have to be specified. To choose those parameters is not a trivial task since they are not directly related to control or regulation performance. The presented tuning method exploits model-parameters to select suitable controller parameters. Additionally, a Rhinehart filter is incorporated in the design to decrease the impact of noise, therefore, a fifth parameter has to be optimised. The proposed method has been tested in simulation and on a real system.

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Personalize Web Searching Strategies Classification and Comparison

arXiv

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arXiv 2022年

作者： Evtimova, Mariya Savova Momtchev, Ivan Momtchilov Faculty of Computer Systems and Control Programming Computer Technologies Department Technical University of Sofia Sofia1000 Bulgaria

Personalization is becoming very important direction in semantic web search for the users that needs to find appropriate information. In this paper, a classification of web personalization is proposed and semantic web search tools are investigated. Building user interest profile is essential for personalizing. Nowadays, semantic web tools use ontologies for personalization because of their advantages. It is important to mention that most of the semantic web search tools use agent technologies for implementation. © 2022, CC BY.

关键词： Search engines

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