CT PUF: Configurable Tristate PUF Against Machine Learning Attacks for IoT Security.
Jiliang ZhangChaoqun ShenZhiyang GuoQiang WuWanli ChangPublished in: IEEE Internet Things J. (2022)
Keyphrases
- security problems
- electronic devices
- machine learning
- security mechanisms
- security threats
- security protocols
- computer security
- security measures
- countermeasures
- security issues
- cyber attacks
- security requirements
- denial of service attacks
- fault injection
- information security
- computer networks
- key management
- java card
- management system
- access control
- security breaches
- malicious users
- security flaws
- cryptographic protocols
- resource constrained
- network security
- security risks
- stream cipher
- medical images
- security vulnerabilities
- x ray
- secure routing
- ct images
- information leakage
- smart card
- identity theft
- computed tomography
- security policies
- sensitive data
- ddos attacks
- attack scenarios
- biometric template
- buffer overflow
- intrusion detection
- unauthorized access
- malicious attacks
- learning algorithm
- watermarking algorithm
- rfid tags
- data mining