A Machine Learning approach for anomaly detection on the Internet of Things based on Locality-Sensitive Hashing.
Mireya Lucia Hernandez-JaimesAlfonso Martínez-CruzKelsey Aleiandra Ramírez-GutiérrezPublished in: Integr. (2024)
Keyphrases
- anomaly detection
- locality sensitive hashing
- nearest neighbor
- intrusion detection
- nearest neighbor search
- similarity search
- brute force
- detecting anomalies
- hash functions
- knn
- sift features
- metric space
- anomalous behavior
- mobile devices
- intrusion detection system
- multimedia retrieval
- hamming distance
- indexing techniques
- space efficient
- binary codes
- detect anomalies
- range queries
- distance function
- high dimensional
- data sets
- one class support vector machines
- evolutionary algorithm
- data streams