Refine
Year of publication
Document type
- Conference Proceeding (127)
- Article (peer-reviewed) (25)
- Part of a Book (6)
- Contribution to a Periodical (3)
- Working Paper (2)
Language
- English (163) (remove)
Keywords
- Cloud computing (26)
- Security (22)
- Industry 4.0 (15)
- Blockchain (10)
- Privacy (8)
- Audit (7)
- Machine learning (7)
- Monitoring (7)
- Accountability (5)
- Authentication (5)
- Cloud (5)
- Cloud Computing (5)
- OSGi (5)
- PaaS (5)
- AAL (4)
- Data privacy (4)
- Docker (4)
- Internet of things (4)
- IoT (4)
- Predictive maintenance (4)
- QoS (4)
- Biometrics (3)
- Computer architecture (3)
- Digital evidence (3)
- Digital forensics (3)
- Fuzzy logic (3)
- Industrie 4.0 (3)
- Maintenance (3)
- SLA (3)
- Smart contracts (3)
- Software agents (3)
- Usability (3)
- Access control (2)
- Agents (2)
- Ambient assisted living (2)
- Augmentation (2)
- Authentication technologies (2)
- Authorization (2)
- CPS (2)
- Chronicle mining (2)
- Cloud security (2)
- Computational modeling (2)
- Condition monitoring (2)
- Container (2)
- Container virtualization (2)
- Context aware (2)
- Continuous authentication (2)
- Cybersecurity (2)
- DHT (2)
- Deep learning (2)
- Distributed data validation network (2)
- Evidence (2)
- Federated cloud (2)
- Fuzzy Logic (2)
- Generative models (2)
- HPC (2)
- Hardware (2)
- IaaS (2)
- Industrial blockchain (2)
- Industrial internet of things (2)
- ML (2)
- MLOps (2)
- Manufacturing process (2)
- Metrics (2)
- Mobile security (2)
- Modularization (2)
- Neural network (2)
- Ontologies (2)
- Ontology (2)
- P2P (2)
- Pix2Pix (2)
- Quality of service (2)
- Resource discovery (2)
- SWRL rules (2)
- Shibboleth (2)
- Sicherheit (2)
- Simulation (2)
- System call tracing (2)
- Traceability (2)
- Transparency (2)
- Transparent authentication (2)
- Trust (2)
- Trust management (2)
- User authentication (2)
- Verifiability (2)
- Virtual machining (2)
- Virtualization (2)
- XAI (2)
- ABE (1)
- Access-control (1)
- Address distribution (1)
- Agent confidentiality (1)
- Agent migration (1)
- Agent trust (1)
- Anomalieerkennung (1)
- Anomalous behavior (1)
- Anomalous behaviour (1)
- Anomaly detection (1)
- Application deployment (1)
- Application software (1)
- Artificial intelligence (1)
- Artificial neural network (1)
- Artificial neural networks (1)
- Assessment (1)
- Assurance (1)
- Attribute certificate (1)
- Automl (1)
- Autonomous agents (1)
- Autorisierung (1)
- Availability (1)
- BLEU (1)
- Benchmark testing (1)
- Big Data (1)
- Big data (1)
- Big data frameworks (1)
- Biological neural networks (1)
- Biological system modeling (1)
- Bounding-box regression (1)
- Business (1)
- CNN (1)
- Cache (1)
- Circuit synthesis (1)
- Classification (1)
- Cloud Customer (1)
- Cloud Forensics (1)
- Cloud Provider (1)
- Cloud audit (1)
- Cloud audits (1)
- Cloud database (1)
- Cloud forensic challenges (1)
- Cloud forensic solutions (1)
- Cloud forensics challenges (1)
- Cloud forensics solutions (1)
- Cloud infrastructure (1)
- Cloud service (1)
- Cloud-edge computing (1)
- Clouds (1)
- Cluster-based data validation (1)
- Coils (1)
- Container Virtualization (1)
- Context (1)
- Context enhancement protocol (1)
- Context-Awareness (1)
- Context-aware (1)
- Continuous monitoring (1)
- Convolutional generative adversarial network (1)
- Cooperative intelligent transportation systems (C-ITS) (1)
- Costs (1)
- Cross authentication (1)
- Cross company business model (1)
- Customer relationship management (1)
- Cyber physical systems (1)
- Cyber security (1)
- Data acquisition (1)
- Data flow (1)
- Data protection (1)
- Data validation (1)
- Decentralized architecture (1)
- Decision support systems (1)
- Decision theory (1)
- Deloyment (1)
- Dementia (1)
- Dementia health care (1)
- Denial of service (1)
- Deployment (1)
- Design engineering (1)
- Desktop grid (1)
- DigNest (1)
- Digital Evidence (1)
- Digital Forensics (1)
- Digital agriculture (1)
- Digital forensic (1)
- Digital health (1)
- Digital innovation hub (1)
- Digital investigation (1)
- Digital product passport (1)
- Digital twin (1)
- Digital wallet (1)
- Digitized agreements (1)
- Discriminative convolutional neural network (1)
- Distance measurement (1)
- Distributed DNN (1)
- Distributed OSGi (1)
- Distributed computing (1)
- Distributed ledger (1)
- Distributed reflection denial of service (1)
- Distributed system (1)
- Domain analysis provisioner (1)
- Dynamic VM creation (1)
- Edge Computing (1)
- Edge security (1)
- Educational institutions (1)
- Emergency-situations (1)
- Endoscopy (1)
- Energy forecast (1)
- Evidential clustering (1)
- Evolutionary strategy (1)
- Expert system (1)
- Explainable AI (1)
- Factory of the future (1)
- FastCAM (1)
- Fault prognostics (1)
- Federated identity (1)
- Federated service (1)
- Fertigung (1)
- Filter (1)
- Fog computing (1)
- Forensic acquisition (1)
- Forensic analysis (1)
- Fuzzy clustering (1)
- Fuzzy control (1)
- GAIA-X (1)
- GII (1)
- GreedyDual-Size (1)
- Grinding burn (1)
- Grinding parameters (1)
- H.264 (1)
- Health informatics (1)
- Healthcare (1)
- Healthcare workforce training (1)
- High Performance Computing (1)
- Home appliances (1)
- Hybrid (1)
- Hybrid AI (1)
- Hybrid Cloud (1)
- Hyperparameter tuning (1)
- I/O isolation (1)
- IIoT (1)
- IT compliance (1)
- Identity management (1)
- Image caption generation (1)
- Image classification (1)
- Industrial cyber physical system (1)
- Innovation hubs (1)
- Instance segmentation (1)
- Internet der Dinge (1)
- Interoperability (1)
- JADE (1)
- KPI (1)
- Kernel (1)
- Knowledge-based system (1)
- LRU (1)
- LRU-MIN (1)
- LRU-threshold (1)
- Lecture capturing (1)
- Legacy machines (1)
- Load Balancing (1)
- Load modeling (1)
- Locality aware (1)
- Log2(SIZE) (1)
- Logic circuits (1)
- METEOR (1)
- MIX (1)
- MLOps Mlflow DVC (1)
- MP4 (1)
- MQTT (1)
- MUWS (1)
- Machine integration (1)
- Mathematical model (1)
- Medical devices (1)
- Medical services (1)
- Medizinische Informatik (1)
- Meta learning (1)
- Metalworking (1)
- Meteorology (1)
- Metric (1)
- Mobile agent security (1)
- Mobile device (1)
- Mobile devices (1)
- Modelling language (1)
- Montenegro (1)
- Multimodal data (1)
- NAT traversal (1)
- NLP (1)
- Nachhaltigkeit (1)
- Natural language processing (1)
- Neural net-works (1)
- Neuro-fuzzy (1)
- Neuronale Netze (1)
- OSGi Service Architecture (1)
- Object detection (1)
- Ontology reasoning (1)
- OpenVZ (1)
- Operating system (1)
- Optical fiber sensors (1)
- Optical fibers (1)
- Optimization (1)
- P2P communication (1)
- PaaS Management (1)
- Parallel algorithms (1)
- Partitioning algorithms (1)
- Peer-reviewed conference (1)
- Peer-reviewed of the scientific committee (1)
- Performance evaluation (1)
- Persistence (1)
- Poisoning (1)
- Poster (1)
- Poster Presentation (1)
- Prediction (1)
- Preprint (1)
- Price models (1)
- Privacy level agreement (PLA) (1)
- Privacy protection (1)
- Private cloud (1)
- Privilege management infrastructure (1)
- Protocols (1)
- Proxy (1)
- Public key cryptography (1)
- Public key infrastructure (1)
- Quality assessment (1)
- Quality assurance (1)
- Quality prediction (1)
- REST (1)
- Reliability (1)
- Reminisence therapy (1)
- Replacement-Algorithm (1)
- Resource Discovery (1)
- Reusable architectural patterns (1)
- Risk analysis (1)
- Risk management (1)
- Risk-based metrics (1)
- Rule-based-security (1)
- SIZE (1)
- SOA (1)
- SaaS (1)
- Scaling service (1)
- Scenario simulator (1)
- Security Audit as a Service (1)
- Security Zertifikat (1)
- Security monitoring (1)
- Security policies (1)
- Self adaptive algorithm (1)
- Semantic segmentation (1)
- Semantic technology (1)
- Semantics (1)
- Sensor fusion (1)
- Servers (1)
- Service level agreement (SLA) (1)
- Shear wave elastography (1)
- Shop floor (1)
- Shortest path problem (1)
- Single sign-on (1)
- Smart farming (1)
- Smart medical wearables (1)
- Standards organizations (1)
- Steel surface damage (1)
- Storage (1)
- Storage management (1)
- TAS (1)
- Taxonomy (1)
- Time factors (1)
- Time-Series analysis (1)
- Timing (1)
- Training (1)
- Ultrasound (1)
- Universal image quality index (1)
- Unreliability (1)
- User centric ontology (1)
- User manuals (1)
- User study (1)
- User survey (1)
- Users' perceptions (1)
- Users’ security practices (1)
- Variety (1)
- Velocity (1)
- Veracity (1)
- Video format converting (1)
- Virtual cluster (1)
- Virtual instance (1)
- Virtual machine monitors (1)
- Visual XAI (1)
- Visual attention network (1)
- Visual attention networks (1)
- Visualisation (1)
- Volume (1)
- WSDM (1)
- Web Service Ping (1)
- Web Services (1)
- Western Balkans (1)
- Yolo (1)
- academia-business cooperation (1)
- e-Learning (1)
- eHealth/mHealth (1)
Understanding Cloud Audits
(2012)
Towards a Domain Specific Security Policy Language for Automatic Audit of Virtual Machine Images
(2012)
Cloud Utility Price Models
(2013)
Cloud Resource Price System
(2014)
Software Defined Privacy
(2016)
Testing applications for SmartHome environments is quite complicated, since a real environment is not accessible or the conditions are not controllable during development time. The need to set up the whole hardware environment, increase the complexity of these systems enormously. Therefore, it is helpful to simulate the SmartHome hardware components and environment conditions (e.g. rain, heat, etc.). This paper contains an approach to improve the test and demonstration process of Internet of Things scenarios. A prototype (ScnSim: Scenario Simulator) was developed to set up scenarios. The user of the ScnSim can create her/his own scenario using items (sensors/actuators) and rules, which control the sensors and actors building the IoT enviornment. This simulator is supposed to support the user testing IoT applications or configurations of SmartHome platforms like openHAB. In addition, the ScnSim is supposed to help demonstrating showcases, for example, often demonstrated on a trade fair or as a proof of concept for a customer.
Delegated Audit of Cloud Provider Chains Using Provider Provisioned Mobile Evidence Collection
(2017)
Software Defined Privacy
(2017)
Cylindrical grinding is an important process in the manufacturing industry. During this process, the problem of grinding burn may appear, which can cause the workpiece to be worthless. In this work, a machine learning neural network approach is used to predict grinding burn based on the process parameters to prevent damage. A small dataset of 21 samples was gathered at a specific machine, grinding always the same element type with different process parameters. Each workpiece got a label from 0 to 3 after the process, indicating the severity of grinding burn. To get a robust neural network model, the dataset has been scaled by augmentation controlled by grinding experts, to generate more samples for training a neural network model. As a result, the model is able to predict the severity of grinding burn in a multiclass classification and it turned out that even with little data, the model performed well.
The rise of digital twins in the manufacturing industry is accompanied by new possibilities, like process automation and condition monitoring, real time simulations and quality and maintenance prediction are just a few advantages which can be realized. This paper takes a novel approach by extracting the fundamental knowledge of a data set from a production process and mapping it to an expert fuzzy rule set. Afterwards, new fundamental augmented data is generated by exploring the feature space of the previously generated fuzzy rule set. At the same time, a high number of artificial neural network (ANN)models with different hyperparameter configurations are created.
The best models are chosen, in line with the idea of survival of the fittest, and improved with the additional training data sets, generated by the fuzzy rule simulation. It is shown that ANN models can be improved by adding fundamental knowledge represented by the discovered fuzzy rules. Those models can represent digitized machines as digital twins. The architecture and effectiveness of the digital twin is evaluated within an industry 4.0 use case.
Ensuring data quality is central to the digital transformation in industry. Business processes such as predictive maintenance or condition monitoring can be implemented or improved based on the available data. In order to guarantee high data quality, a single data validation system are usually used to validate the production data for further use. However, using a single system allows an attacker only to perform one successful attack to corrupt the whole system. We present a new approach in which a data validation system using multiple different validators minimizes the probability of success for the attacker. The validators are arranged in clusters based on their properties. For a validation process, a challenge is given that specifies which validators should perform the current validation. Validation results from other validators are dropped. This ensures that even for more than half of the validators being corrupted anomalies can be detected during the validation process.
Smart Condition Monitoring for Industry 4.0 Manufacturing Processes: An Ontology-Based Approach
(2019)
A Fog-Cloud Computing Infrastructure for Condition Monitoring and Distributing Industry 4.0 Services
(2019)
Formal Description of Use Cases for Industry 4.0 Maintenance Processes Using Blockchain Technology
(2019)
Machine learning applications, like machine condition monitoring, predictive maintenance, and others, become a state of the art in Industry 4.0. One of many machine learning algorithms are decision trees for the decision-making process. A new approach for creating distributed decision trees, called node based parallelization, is presented. It allows data to be classified through a network of industrial devices. Each industrial device is responsible for a single classification rule. Also, nodes that react incorrectly, for example, due to an attack, are taken into account using a variety of methods to remain the decision-making process correct and robust.