Emphasizing privacy and security of edge intelligence with machine learning for healthcare.
Sukumar RajendranSandeep Kumar MathivananPrabhu JayagopalKumar Purushothaman JanakiBenjula Anbu Malar Manickam BernardSuganya PandyManivannan Sorakaya SomanathanPublished in: Int. J. Intell. Comput. Cybern. (2022)
Keyphrases
- machine learning
- security issues
- security concerns
- statistical databases
- security and privacy issues
- personal data
- artificial intelligence
- privacy issues
- security mechanisms
- security properties
- information security
- rfid systems
- preserving privacy
- data security
- confidential information
- privacy preserving
- security requirements
- security risks
- security threats
- personal information
- privacy concerns
- sensitive data
- security problems
- electronic payment
- edge detection
- security measures
- protection mechanisms
- biometric template
- privacy requirements
- security services
- secure multiparty computation
- learning algorithm
- security policies
- data mining
- privacy enhancing
- information systems
- privacy protection
- data privacy
- situation awareness
- authentication protocol
- machine intelligence
- identity management
- intelligence community
- national security
- cloud computing
- intrusion detection
- individual privacy
- counter terrorism
- cyber security
- security protocols
- decision trees
- information technology
- computational intelligence
- network security
- security analysis
- mutual authentication
- trusted third party
- user privacy
- sensitive information
- key management