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Profile Generation Methods for Reinforcing Robustness of Keystroke Authentication in Free Text Typing

Journal of Information Security 2015年第2期6卷 131-141页

作者： Yoshitomo Matsubara Toshiharu Samura Haruhiko Nishimura Graduate School of Applied Informatics University of Hyogo Kobe Japan Department of Electrical and Computer Engineering National Institute of Technology Akashi College Akashi Japan

We have investigated several characteristics of the keystroke authentication in Japanese free text typing, and our methods have provided high recognition accuracy for high typing skill users who can type 700 or more letters per 5 minutes. There are, however, some situations decreasing the accuracy such as long period passage after registering each user’s profile documents and existence of lower typing skill users who can type only about 500 - 600 letters per 5 minutes. In this paper, we propose new profile generation methods, profile-updating and profile-combining methods, to reinforce the robustness of keystroke authentication and show the effectiveness of them through three examinations with experimental data.

关键词： Keystroke Authentication Biometrics Information Security Profile Generation Robustness

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Keyboard Dependency of Personal Identification Performance by Keystroke Dynamics in Free Text Typing

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Journal of Information Security 2015年第3期6卷 229-240页

We have proposed some methods for feature extraction and identification that enable identification of individuals through long-text input as an important topic in keystroke dynamics research. As to the robustness in practical circumstances, there exists a question on the keystroke dynamics how much the recognition accuracy is influenced by the change of keyboard. By comparing the performance in the cases of using the same keyboard and different keyboards, the dependencies on keyboards are evaluated through three implemented experiments for subjects. As a result, it is found that we do not need to worry about the keyboard difference for users whose typing skills reach high level with about 900 or more letters in 5 minutes, and only for the remaining users it would be necessary to register their profile data with respect to each keyboard they use in order to avoid recognition accuracy degradation.

关键词： Keystroke Dynamics Biometrics Information Security Keyboard Dependency

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Image-based automatic object localisation in iSpace environment

Image-based automatic object localisation in iSpace environm...

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10th International Symposium of Hungarian Researchers on Computational Intelligence and informatics, CINTI 2009

作者： Zanaty, Péter Korondi, Péter Sziebig, Gábor Jeni, László A. Department of Scientific Computing Narvik University College Electrical Engineering and Space technology Hungary Department of Mechatronics Budapest University of Technology and Economics Optics and Applied Informatics Hungary Computer and Automation Research Institute Japan Department of Industrial Engineering Narvik University College Norway Institute of Industrial Science University of Tokyo Japan

Localization is a fundamental task in mobile robotics and in indoor environments we can use various sensors to solve this problem. In the Intelligent Space environment we can use laser range finders or ultrasonic positioning systems to localize and track mobile robots. Nevertheless, our final goal is to substitute these sensors and accomplish this task using just cameras. In this paper, we show the feasibility of determining the robot's location based on the images received from a single camera. In our experimental room we used a surveillance camera, which can be controlled to pan/tilt in order to change the point of view. The camera had been mounted on the ceiling and six preset positions were selected to cover the whole area. The object recognition is based on colour space filtering and contour detection. Finally, the contours of the detected objects are transformed from the image space to the world coordinate system and the polygons are reduced to simpler ones. The system is able to detect not only the position of the objects, but their orientations.

关键词： Cameras

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Advances in Computing and Network Communications 1

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丛书名： Lecture Notes in Electrical engineering

1000年

作者： Sabu M. Thampi Erol Gelenbe Mohammed Atiquzzaman Vipin Chaudhary Kuan-Ching Li

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Towards a formal model of CyberRail

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IFIP 18th World computer Congress Topical Sessions

作者： Bjørner, Dines Chiang, Peter Jacobsen, Morten S.T. Hansen, Jens Kielsgaard Madsen, Michael P. Penicka, Martin Department of Computer Science School of Computing National University of Singapore 3 Science Drive 2 Singapore 117543 Singapore Section of Computer Science and Engineering Institute of Informatics and Computer Engineering Technical University of Denmark DK-2800 Kgs Lyngby Denmark Czech Technical University Department of Applied Mathematics Na Florenci 25 110 00 Praha 1 Czech Republic

ISBN: (纸本)1402081561

Based on a number of reports and publications, primarily by Takahiko Ogino [14], [15], [16] (in these proceedings), and [17], on the emerging concept of CyberRail, we attempt to show what a formal domain model of CyberRail might look like, and what benefits one might derive from establishing and having such a formal model. © 2004 Springer Science + Business Media, Inc.

关键词： Abstract data types

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TSO-DSO Interaction: Privacy-Preserving Optimal Power Flow with Distributed Generators Using a Machine Learning-Based Approach

TSO-DSO Interaction: Privacy-Preserving Optimal Power Flow w...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Burak Dindar Can Berk Saner Hüseyin Kemal Çakmak Veit Hagenmeyer Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Germany Department of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (数字)9798350318098

ISBN: (纸本)9798350318104

The integration of distributed generators (DGs) into the electrical grid has introduced new dimensions in power system management: Enhancing efficiency and operational flexibility of the grid requires taking into account the DGs located at the distribution level in dispatch decisions, while also considering the operational constraints of both distribution and transmission levels. However, the centralization of cooperation between transmission system operators (TSOs) and distribution system operators (DSOs) is troublesome due to privacy concerns of both parties. In present paper, we introduce a Machine Learning-Based Privacy-Preserving Optimal Power Flow (MLB-PP-OPF) framework. This method enables the seamless inclusion of DGs at the distribution level in optimal power flow calculations, all while adhering to the operational limits of both systems and maintaining data privacy. The proposed approach leverages three machine learning models to map the distribution system variables to active and reactive power flows at the point of common coupling, and to determine the feasible operating region of the distribution system in a privacy-preserving manner. Comparative case studies, performed on the coupled IEEE 30-bus transmission and 33-bus distribution test systems, demonstrate that the results achieved using MLB-PP-OPF align almost perfectly with those obtained through classical OPF, while maintaining data privacy.

关键词： Couplings Data privacy Reactive power Privacy Machine learning Generators Data models

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Price Prediction of Seasonal Items Using Time Series Analysis

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computer Systems Science & engineering 2023年第7期46卷 445-460页

作者： Ahmed Salah Mahmoud Bekhit Esraa Eldesouky Ahmed Ali Ahmed Fathalla Faculty of Computers and Informatics Zagazig UniversitySharkeya44523Egypt Information Technology Department the University of Technology and Applied SciencesIbriOman School of Electrical and Data Engineering University of Technology SydneySydney2007Australia College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Computer Science Department Faculty of Computers and InformaticsSuez Canal UniversityIsmailia41522Egypt Higher Future Institute for Specialized Technological Studies Cairo3044Egypt Department of Mathematics Faculty of ScienceSuez Canal UniversityIsmailia41522Egypt

The price prediction task is a well-studied problem due to its impact on the business *** are several research studies that have been conducted to predict the future price of items by capturing the patterns of price change,but there is very limited work to study the price prediction of seasonal goods(e.g.,Christmas gifts).Seasonal items’prices have different patterns than normal items;this can be linked to the offers and discounted prices of seasonal *** lack of research studies motivates the current work to investigate the problem of seasonal items’prices as a time series *** proposed utilizing two different approaches to address this problem,namely,1)machine learning(ML)-based models and 2)deep learning(DL)-based ***,this research tuned a set of well-known predictive models on a real-life *** models are ensemble learning-based models,random forest,Ridge,Lasso,and Linear ***,two new DL architectures based on gated recurrent unit(GRU)and long short-term memory(LSTM)models are ***,the performance of the utilized ensemble learning and classic ML models are compared against the proposed two DL architectures on different accuracy metrics,where the evaluation includes both numerical and visual comparisons of the examined *** obtained results show that the ensemble learning models outperformed the classic machine learning-based models(e.g.,linear regression and random forest)and the DL-based models.

关键词： Deep learning price prediction seasonal goods time series analysis

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The footprint of things: A hybrid approach towards the collection, storage and distribution of life cycle inventory data 5th

The footprint of things: A hybrid approach towards the colle...

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5th International Conference on Information and Communication Technology for Sustainability, ICT4S 2018

作者： Capelleveen, Guido van Pohl, Johanna Fritsch, Andreas Schien, Daniel Department of Industrial Engineering and Business Information Systems University of Twente Netherlands Zentrum Technik und Gesellschaft Technische Universität Berlin Germany Institute of Applied Informatics and Formal Description Methods Karlsruhe Institute of Technology Germany School of Computer Science University of Bristol United Kingdom

Life cycle assessment is a well-established methodology for assessing the environmental impacts of products and services. Unfortunately, an essential part of this life cycle assessment method, collecting inventory data, is extremely time consuming. The quality of manually conducted LCA studies is often limited by uncertainty in the inventory data or narrow scope. Past attempts to overcome these challenges through automation of data collection utilizing the Internet of Things have relied on fully centralized architectures. The drawback of a central repository is the complex coordination between all involved actors in supply chains of products and services. This paper proposes an alternative hybrid approach combining a primary distributed system supplemented with a central repository reducing the need for coordination. This hybrid approach is named "the Footprint of Things". We present a system design that embeds the automatic reporting of life cycle inventory data, such as energy and material flows, into all product components involved in a service delivery. The major strength of our novel system design, among others, is its capacity for real-time and more precise impact calculation of ICT services. © 2018, EasyChair. All rights reserved.

关键词： Life cycle

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Vision-based human motion analysis in epilepsy - Methods and challenges

Vision-based human motion analysis in epilepsy - Methods and...

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10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010

作者： Pediaditis, M. Tsiknakis, M. Vorgia, P. Kafetzopoulos, D. Danilatou, V. Fotiadis, D. Graz University of Technology Institute of Health Care Engineering Austria FORTH Biomedical Informatics Laboratory Institute of Computer Science Vassilika Vouton 71110 Heraklion Crete Greece Department of Applied Informatics and Multimedia Technological Educational Institute of Crete Greece University of Crete Mother and Child Division Medical School Greece FORTH Institute of Molecular Biology and Biotechnology Vassilika Vouton 71110 Heraklion Crete Greece University of Ioannina Department of Materials Science and Engineering Greece

ISBN: (纸本)9781424465606

Motion is one of the most important characteristics in clinical epileptology. In developing an integrated motion analysis system for epileptic patients or children with neurological disorders (e.g. ADHD) we surveyed and analyzed current efforts in vision-based human motion analysis in epilepsy as well as all possible forms of motion typically encountered in known epileptic syndromes. This paper presents the results in a systematic way, and includes a critical discussion of methodological and scientific challenges that need to be addressed in this particular domain. © 2010 IEEE.

关键词： Motion analysis

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Performance evaluation of dynamic cloud resource migration based on temporal and capacity-aware policy for efficient resource sharing

Performance evaluation of dynamic cloud resource migration b...

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2nd ACM Workshop on High Performance Mobile Opportunistic Systems, HP-MOSys 2013, Held in Conjunction with the 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2013

作者： Mousicou, Paraskevi Mavromoustakis, Constandinos X. Bourdena, Athina Mastorakis, George Pallis, Evangelos Computer Science Department University of Nicosia 46 Makedonitissas Avenue 1700 Nicosia Cyprus Department of Information and Communication Systems Engineering University of the Aegean Samos Greece Department of Applied Informatics and Multimedia Technological Educational Institute of Crete Heraklion Crete Greece

ISBN: (纸本)9781450323727

This paper elaborates on practical considerations, such as location and capacity issues to offload resources, by adopting a rack based approach for the implementation. The proposed cooperative migration of resources enables efficient resource manipulation without any intermittent execution of the claimed tasks by the mobile devices, while it significantly reduces crash failures that lead all servers to become unavailable within a rack. In addition, this paper presents a modular resource migration scheme for failure-aware resource allocation, where according to the estimated performance of the resource sharing process (e.g. access time, service delay etc.) resources are migrated to another cloud rack based on the associated performance-oriented metrics. The proposed architecture is thoroughly evaluated through simulation tests for the resource migration policy used in the context of cloud rack failures for delay-bounded resource availability of mobile users, as well as for the efficiency of the proposed resource migration scheme. © 2013 ACM.

关键词： Resource allocation

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