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5 Papers

Device Fingerprinting: Analysis of Chosen Fingerprinting Methods

Topics: Security, Privacy and Trust ; Security, Privacy and Risk; System design and implementation; Software engineering for security modeling, business process modeling and analytics; Conceptual frameworks and models; Surveys and their quantitative analysis

Authors: Anna Kobusińska , Jerzy Brzeziński and Kamil Pawulczuk

Affiliation: Poznań University of Technology, Poland

Digital Object Identifier: 10.5220/0006375701670177

Proceedings of IoTBDS 2017, ISBN: 978-989-758-245-5

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Device fingerprinting is a modern technique of using available information to distinguish devices. Fingerprinting can be used as a replacement for storing user identifiers in cookies or local storage. In this paper we discover features and corresponding optimal implementations that may enrich and improve an open-source fingerprinting library Fingerprintjs2 that is daily consumed by hundreds of websites. As a result, the paper provides a noticeable progress in the analysis of fingerprinting solutions.

Towards Intelligent Data Analysis: The Metadata Challenge

Topic: Analytics, Intelligence and Knowledge Engineering

Authors: Besim Bilalli 1 , Alberto Abelló 1 , Tomàs Aluja-Banet 1 and Robert Wrembel 2

Affiliations: 1 Universitat Politécnica de Catalunya, Spain , 2 Poznan University of Technology, Poland

Digital Object Identifier: 10.5220/0005876203310338

Proceedings of IoTBD 2016, ISBN: 978-989-758-183-0

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Once analyzed correctly, data can yield substantial benefits. The process of analyzing the data and transforming it into knowledge is known as Knowledge Discovery in Databases (KDD). The plethora and subtleties of algorithms in the different steps of KDD, render it challenging. An effective user support is of crucial importance, even more now, when the analysis is performed on Big Data. Metadata is the necessary component to drive the user support. In this paper we study the metadata required to provide user support on every stage of the KDD process. We show that intelligent systems addressing the problem of user assistance in KDD are incomplete in this regard. They do not use the whole potential of metadata to enable assistance during the whole process. We present a comprehensive classification of all the metadata required to provide user support. Furthermore, we present our implementation of a metadata repository for storing and managing this metadata and explain its benefits in a real Big Data analytics project.

FUSION OF MOTION SEGMENTATION WITH ONLINE ADAPTIVE NEURAL CLASSIFIER FOR ROBUST TRACKING

Topics: Feature Extraction; Motion and Tracking; Retrieval of 3D Objects from Video Sequences; Neural Networks; Model-Based Object Tracking in Image Sequences; Detecting 3D Objects Using Patterns of Motion and Appearance; Tracking of People and Surveillance; 2D and 3D Scene Understanding; Visual Learning

Authors: Sławomir Bąk 1 , Sundaram Suresh 2 , François Brémond 2 and Monique Thonnat 2

Affiliations: 1 Institute of Computing Science, Poznan University of Technology, Poland , 2 INRIA Sophia Antipolis, PULSAR group, France

Digital Object Identifier: 10.5220/0001769604100416

Proceedings of VISAPP 2009/VISIGRAPP, ISBN: 978-989-8111-69-2

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This paper presents a method to fuse the information from motion segmentation with online adaptive neural classifier for robust object tracking. The motion segmentation with object classification identify new objects present in the video sequence. This information is used to initialize the online adaptive neural classifier which is learned to differentiate the object from its local background. The neural classifier can adapt to illumination variations and changes in appearance. Initialized objects are tracked in following frames using the fusion of their neural classifiers with the feedback from the motion segmentation. Fusion is used to avoid drifting problems due to similar appearance in the local background region. We demonstrate the approach in several experiments using benchmark video sequences with different level of complexity.
Collapse Button Related Ontology Subjects/Areas/Topics (29)
Applications

Human-Computer Interaction

Pattern Recognition

Artificial Intelligence

Image and Video Analysis

Physiological Computing Systems

Biomedical Engineering

Informatics in Control, Automation and Robotics

Retrieval of 3D Objects from Video Sequences

Biomedical Signal Processing

Methodologies and Methods

Sensor Networks

Computational Intelligence

Model-Based Object Tracking in Image Sequences

Signal Processing

Computer Vision, Visualization and Computer Graphics

Motion and Tracking

Signal Processing, Sensors, Systems Modeling and Control

Detecting 3D Objects Using Patterns of Motion and Appearance

Motion, Tracking and Stereo Vision

Soft Computing

Feature Extraction

Neural Networks

Theory and Methods

Features Extraction

Neurocomputing

Tracking of People and Surveillance
Health Engineering and Technology Applications

Neurotechnology, Electronics and Informatics

SAFETY OF CHECKPOINTING AND ROLLBACK-RECOVERY PROTOCOL FOR MOBILE SYSTEMS WITH RYW SESSION GUARANTEE

Topics: Wireless and Mobile Computing; Object Orientation in Internet and Distributed Computing

Authors: Jerzy Brzeziński , Anna Kobusińska and Jacek Kobusiński

Affiliation: Poznań University of Technology, Institute of Computing Science, Poland

Digital Object Identifier: 10.5220/0002446101180123

Proceedings of ICEIS 2006, ISBN: 978-972-8865-44-3

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This paper presents rVsRYW checkpointing and rollback-recovery protocol, which preserves Read Your Writes session guarantee and includes the proof of safety property of the proposed protocol. In order to provide RYW guarantee required by mobile clients, despite failures of servers, in rVsRYW protocol semantics of consistency protocol operations is exploited and build in recovery mechanisms.
Collapse Button Related Ontology Subjects/Areas/Topics (7)
Enterprise Information Systems

Telecommunications

Wireless and Mobile Technologies

Object Orientation in Internet and Distributed Computing

Wireless and Mobile Computing

Wireless Information Networks and Systems
Software Agents and Internet Computing

TRANSACTION CONCEPTS FOR SUPPORTING CHANGES IN DATA WAREHOUSES

Topic: Data Warehouse

Authors: Bartosz Bębel , Zbyszko Królikowski , Tadeusz Morzy and Robert Wrembel

Affiliation: Institute of Computing Science, Poznań University of Technology, Poland

Digital Object Identifier: 10.5220/0002636702900297

Proceedings of ICEIS 2004, ISBN: 972-8865-00-7

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A data warehouse (DW) provides information from external data sources for analytical processing, decision-making, and data mining tools. External data sources are autonomous, i.e. they change over time, independently of a DW. Therefore, the structure and content of a DW has to be periodically synchronized with its external data sources. This synchronization concerns DW data as well as schema. Concurrent work of synchronizing processes and user queries may result in various anomalies. In order to tackle this problem we propose to apply a multiversion data warehouse and an advanced transaction mechanism to a DW synchronization.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Data Warehouses and OLAP

Databases and Information Systems Integration

Enterprise Information Systems

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