Towards the Usage of Invariant-Based App Behavioral Fingerprinting for the Detection of Obfuscated Versions of Known Malware.
Zigrid ShehuClaudio CiccotelliDaniele UcciLeonardo AnielloRoberto BaldoniPublished in: NGMAST (2016)
Keyphrases
- reverse engineering
- detection algorithm
- false positives
- detection rate
- false alarms
- malware detection
- object detection
- third party
- malicious code
- user experience
- automatic detection
- social networking
- detection accuracy
- malicious executables
- neural network
- static analysis
- human behavior
- anomaly detection
- object oriented
- digital images
- social networks