SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks.
Hammad TariqHassan AliMuhammad Abdullah HanifFaiq KhalidSemeen RehmanRehan AhmedMuhammad ShafiquePublished in: CoRR (2018)
Keyphrases
- neural network
- security threats
- security mechanisms
- security problems
- computer security
- java card
- security measures
- security protocols
- security vulnerabilities
- information security
- cyber attacks
- security issues
- countermeasures
- denial of service attacks
- security risks
- fault injection
- security breaches
- chosen plaintext
- malicious attacks
- security requirements
- secure routing
- stream cipher
- smart card
- digital image watermarking
- network security
- cryptographic protocols
- malicious users
- insider attacks
- edge detection
- semi fragile watermarking
- artificial neural networks
- cryptographic algorithms
- identity theft
- security flaws
- access control
- intrusion detection
- information leakage
- security policies
- image watermarking scheme
- buffer overflow
- multiscale
- intrusion prevention
- image processing
- edge detector
- dos attacks
- resource constrained
- biometric template
- security management
- intrusion detection and prevention
- malicious nodes
- back propagation
- attack scenarios
- advanced encryption standard
- frequency domain
- watermarking scheme
- key management
- sensitive data