Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0.
Luigi CapogrossoAlessio MascoliniFederico GirellaGeri SkenderiSebastiano GaiardelliNicola Dall'OraFrancesco PonzioEnrico FraccaroliSanta Di CataldoSara VincoEnrico MaciiFranco FummiMarco CristaniPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- probabilistic model
- denoising
- connectionist systems
- intrusion detection
- network traffic
- anomalous behavior
- detecting anomalies
- network intrusion detection
- computer security
- unsupervised anomaly detection
- data assimilation
- graphical models
- network anomaly detection
- intrusion detection system
- image processing
- detecting anomalous
- behavior analysis
- unsupervised learning
- one class support vector machines
- hidden variables
- data analysis
- image denoising
- anisotropic diffusion
- network security
- negative selection algorithm
- computer vision
- real world
- neural network
- detect anomalies
- bayesian networks
- information extraction
- text classification
- expectation maximization