Enhancing IoT Device Security through Network Attack Data Analysis Using Machine Learning Algorithms.
Ashish KoiralaRabindra BistaJoão C. FerreiraPublished in: Future Internet (2023)
Keyphrases
- machine learning algorithms
- machine learning
- security measures
- data analysis
- cyber attacks
- benchmark data sets
- virtual private network
- learning algorithm
- security problems
- buffer overflow
- denial of service attacks
- machine learning methods
- decision trees
- fault injection
- machine learning approaches
- predictive accuracy
- learning problems
- security threats
- countermeasures
- security risks
- forensic analysis
- machine learning systems
- security mechanisms
- learning tasks
- computer networks
- big data
- wireless sensor networks
- data mining
- ddos attacks
- network management
- access control
- security vulnerabilities
- information security
- random forests
- cyber security
- security policies
- machine learning models
- trust relationships
- intrusion detection
- network configuration
- malicious nodes
- network security
- standard machine learning algorithms
- security issues
- attack scenarios
- remote server
- statistical machine learning
- network traffic
- key management
- dos attacks
- input features
- attack graph
- intrusion detection system
- machine learning and data mining algorithms