R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

TonTon H.-D. Huang*, and Hung-Yu Kao**

Leopard Mobile (Cheetah Mobile Taiwan Agency)*
Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan* **
TonTon (at) TWMAN.ORG*

Android Color images: Malware / Benign

Real Case study


The materials of our research and experiment dataset: Train / Test

OWASP AppSec USA 2017 , September 19-22, 2017, Orlando, Florida | 2017/09/22, 10:30am~11:15am (GMT -4)

RuxCon 2017, October 21-22, 2017, Melbourne, Australia | 2017/10/22, 15:00~16:00 (GMT +11)



https://www.ratingtoken.net


Hunting the Ethereum Smart Contract: Color-inspired Inspection of Potential Attacks

TonTon H.-D. Huang*, and Hung-Yu Kao**

Leopard Mobile (Cheetah Mobile Taiwan Agency)*
Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan* **
TonTon (at) TWMAN.ORG*

AI Village, Defcon 26, Augest 9-12, 2018, Las Vegas, Nevada | 2018/08/11 16:20 (GMT -7)



This work would not have been possible without the valuable dataset offered by Cheetah Mobile and Security Master (a.k.a CM Security, an Android application). 

Special thanks to Dr. Chia-Mu Yu for his support on this research.