SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks.
Lingwei ChenYanfang YePublished in: Australasian Conference on Artificial Intelligence (2017)
Keyphrases
- machine learning
- detect malicious
- secure routing
- security mechanisms
- security protocols
- cryptographic protocols
- stream cipher
- malicious code
- chosen plaintext
- detecting malicious
- security flaws
- security issues
- machine learning methods
- information extraction
- security measures
- cryptographic algorithms
- unauthorized access
- natural language processing
- block cipher
- data mining
- learning algorithm
- attack scenarios
- information leakage
- attack detection
- computer security
- malware detection
- text mining
- machine learning algorithms
- security vulnerabilities
- security analysis
- countermeasures
- decision trees
- network security
- security threats
- remote user authentication scheme
- reverse engineering
- security requirements
- resource constrained
- key management
- dynamic analysis
- anti virus
- ad hoc networks