Filtern
Erscheinungsjahr
Dokumenttyp
- Konferenzveröffentlichung (216) (entfernen)
Sprache
- Englisch (216) (entfernen)
Schlagworte
- Bionik (3)
- Gespenstschrecken (3)
- Haftorgan (3)
- adhesion (3)
- stick insects (3)
- Competency-Oriented Exams (2)
- Field measurement (2)
- Solar modules (2)
- 360° Panorama (1)
- AEM-Electrolysis (1)
- API 1130 (1)
- Air handling unit (1)
- Alternative Geschäftsmodelle (1)
- Artificial Intelligence (1)
- Assisted living technologies (1)
- Assistive robotics (1)
- Augmented Reality (1)
- Autonomous Agents (1)
- Bildverarbeitung (1)
- Biomimetics (1)
- CFD Simulation (1)
- COIL (1)
- CPM (1)
- Climate change (1)
- Constructive Alignment (1)
- Continuous Assessment (1)
- Continuous Queries (1)
- Crowdfunding (1)
- Current Pulses (1)
- Datalog (1)
- Deductive Databases (1)
- Deutschland / Technische Regeln für brennbare Flüssigkeiten (1)
- Distributed Software Development (1)
- Elastizitätsmodul (1)
- Electrodeposition (1)
- Erneuerbare Energien (1)
- Erweiterte Realität <Informatik> (1)
- Exams with Third-Party Applications (1)
- Fehlererkennung (1)
- Fehlerortung (1)
- Flat-Channel (1)
- Flipped Classroom (1)
- Formative Assessment (1)
- Future capacity needs (1)
- High Reynold Numer (1)
- Human-Robot Interaction (1)
- Human-centered computing (1)
- Hydraulic compression, Carbon Nano Fibers, PEM Fuel Cells, Catalyst utilization (1)
- Incremental Evaluation (1)
- Interactive Voting Systems (1)
- Intercultural Collaboration (1)
- Journalismus (1)
- Kalman filter (1)
- Kohlenstoff-Nanoröhre (1)
- Launcher (1)
- Leak detection (1)
- Leckerkennung (1)
- Leckortung (1)
- Lecksuchgerät (1)
- Lecküberwachung (1)
- Machine Learning (1)
- Maus (1)
- Mikrofotografie (1)
- Mixed Reality (1)
- Multi-Agent System (1)
- NeRF (1)
- Ni-Mo alloy Catalyst (1)
- Online Programming Exams (1)
- Online Supervision (1)
- PEM Electrolysis, Hydrogen, Hydraulic Compression, High Pressure (1)
- Peer Assessment (1)
- Peer Instruction (1)
- People with disabilities (1)
- Performance prediction (1)
- Physics-Informed Deep Learning (1)
- Polymer-Elektrolytmembran-Brennstoffzelle (1)
- Project-based Learning (1)
- Regeln der Technik (1)
- Rescue Robotics (1)
- Robot assistive drinking (1)
- Robot assistive eating (1)
- Robotik (1)
- Sinusoidal (1)
- Small UAVs (1)
- Smart Grid (1)
- Social Learning (1)
- Student Activation (1)
- TRFL (1)
- Temperature coefficients (1)
- Tetraplegie (1)
- Thermal Stress (1)
- Transformative Teaching (1)
- Update Propagation (1)
- Urban heat island (1)
- Visual Monocular SLAM (1)
- Young´s modulus (1)
- Zustandsmaschine (1)
- biomimicry (1)
- consent banner (1)
- cookie banner (1)
- cookies (1)
- human-centered design (1)
- hybrid sensor system (1)
- leak locating (1)
- leak monitoring (1)
- participatory design (1)
- privacy (1)
- risk management (1)
- sensor fusion (1)
- state machine (1)
- user acceptance (1)
- web measurement (1)
Institut
- Westfälisches Institut für Gesundheit (49)
- Institut für Internetsicherheit (45)
- Westfälisches Energieinstitut (24)
- Informatik und Kommunikation (21)
- Maschinenbau Bocholt (20)
- Elektrotechnik und angewandte Naturwissenschaften (19)
- Wirtschaft und Informationstechnik Bocholt (7)
- Institut für biologische und chemische Informatik (6)
- Fachbereiche (2)
- Institut Arbeit und Technik (2)
Improved Plasma Membrane Models as Test Systems for the Membrane
Disrupting Activity of Kalata B1
(2017)
Steps Towards an Open All-in-one Rich-Client Environment for Particle-Based Mesoscopic Simulation
(2018)
Web advertisements are the primary financial source for many online services, but also for cybercriminals. Successful ad campaigns rely on good online profiles of their potential customers. The financial potentials of displaying ads have led to the rise of malware that injects or replaces ads on websites, in particular, so-called adware. This development leads to always further optimized and customized advertising. For these customization's, various tracking methods are used. However, only sparse work has gone into privacy issues emerging from adware. In this paper, we investigate the tracking capabilities and related privacy implications of adware and potentially unwanted programs (PUPs). Therefore, we developed a framework that allows us to analyze any network communication of the Firefox browser on the application level to circumvent encryption like TLS. We use this to dynamically analyze the communication streams of over 16,000 adware or potentially unwanted programs samples that tamper with the users' browser session. Our results indicate that roughly 37% of the requests issued by the analyzed samples contain private information and are accordingly able to track users. Additionally, we analyze which tracking techniques and services are used.