Loading…
This event has ended. Create your own event → Check it out
This event has ended. Create your own
View analytic
Friday, September 22 • 10:30am - 11:15am
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

Sign up or log in to save this to your schedule and see who's attending!

Feedback form is now closed.

Machine Learning (ML) has found it particularly useful in malware detection. However, as the malware evolves very fast, the stability of the feature extracted from malware serves as a critical issue in malware detection. The recent success of deep learning in image recognition, natural language processing, and machine translation indicates a potential solution for stabilizing the malware detection effectiveness. We present a color-inspired convolutional neural network-based Android malware detection, R2-D2, which can detect malware without extracting pre-selected features (e.g., the control-flow of op-code, classes, methods of functions and the timing they are invoked etc.) from Android apps. In particular, we develop a color representation for translating Android apps into rgb color code and transform them to a fixed-sized encoded image. After that, the encoded image is fed to convolutional neural network for automatic feature extraction and learning, reducing the expert’s intervention.We have run our system over 800k malware samples and 800k benign samples through our back-end (60 million monthly active users and 10k new malware samples per day), showing that R2-D2 can effectively detect the malware. Furthermore, we will keep our research results on http://R2D2.TWMAN.ORG if there any update.


Speakers
avatar for TonTon Huang

TonTon Huang

Cyber-Security/Deep Learning Research, Leopard Mobile Inc.
Hsien-De Huang (a.k.a. TonTon) is working for Leopard Mobile (Cheetah Mobile Taiwan Agency). His current major research interests include Deep Learning, Malware Analysis, Android Reverse Engineering, Type-2 Fuzzy Logic, and Ontology Applications. He also is a Ph. D. candidate (IK... Read More →
avatar for Hung-Yu Kao

Hung-Yu Kao

Professor, National Cheng Kung University
Hung-Yu Kao received the B.S. and M.S. degree in Computer Science from National Tsing Hua University in 1994 and 1996 respectively. In July 2003, he received the PhD degree from the Electrical Engineering Department, National Taiwan University. He is currently the Director of In... Read More →
avatar for Chia-Mu Yu

Chia-Mu Yu

Enjoy the intersection between AI, security, and privacy


Friday September 22, 2017 10:30am - 11:15am
Fiesta 6

Attendees (18)