Special issue on machine learning for security and privacy: advancing the state-of-the-art applications.
Janmenjoy NayakDavid Al-DabassDanilo PelusiManohar MishraPublished in: Neural Comput. Appl. (2023)
Keyphrases
- special issue
- machine learning
- security issues
- statistical databases
- security concerns
- information security
- security and privacy issues
- data security
- personal data
- security properties
- sensitive data
- security mechanisms
- preserving privacy
- security services
- rfid systems
- privacy requirements
- privacy concerns
- data privacy
- security threats
- access control
- security measures
- privacy preserving
- secure multiparty computation
- ai edam
- ecml pkdd
- security risks
- identity management
- privacy enhancing
- personal information
- privacy issues
- authentication protocol
- international journal
- confidential information
- applied intelligence
- special section
- security requirements
- electronic payment
- network security
- privacy protection
- artificial intelligence
- intrusion detection
- security policies
- inductive logic programming
- user privacy
- protection mechanisms
- biometric template
- security protocols
- computational intelligence
- rfid tags
- data mining
- knowledge discovery in databases
- expert systems
- information systems
- privacy preserving data mining
- sensitive information
- differential privacy
- data sharing
- computer science
- outsourced databases