Redefining Trust: Assessing Reliability of Machine Learning Algorithms in Intrusion Detection Systems.
Hossein SayadiZhangying HeTahereh MiariMehrdad AliasgariPublished in: ISCAS (2024)
Keyphrases
- machine learning algorithms
- intrusion detection system
- intrusion detection
- network security
- benchmark data sets
- machine learning
- computer networks
- network traffic
- learning algorithm
- anomaly detection
- network intrusion detection
- learning problems
- distributed intrusion detection
- decision trees
- computer security
- cyber security
- network intrusion detection systems
- machine learning approaches
- intrusion prevention
- machine learning methods
- attack detection
- learning models
- misuse detection
- cyber attacks
- machine learning models
- alert correlation
- supervised learning
- object recognition
- network intrusion
- semi supervised
- information systems
- reinforcement learning
- knn