Integrated software fingerprinting via neural-network-based control flow obfuscation
Dynamic software fingerprinting has been an important tool in fighting against software theft and pirating by embedding unique fingerprints into software copies. However, existing work uses methods from dynamic software watermarking as direct solutions in which secret marks are inside rather indepen...
Saved in:
Main Authors: | MA, Haoyu, LI, Ruiqi, YU, Xiaoxu, JIA, Chunfu, GAO, Debin |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2016
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3180 https://ink.library.smu.edu.sg/context/sis_research/article/4181/viewcontent/tifs16.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Control Flow Obfuscation using Neural Network to Fight Concolic Testing
by: Ma, Haoyu, et al.
Published: (2014) -
Linear Obfuscation to Combat Symbolic Execution
by: WANG, Zhi, et al.
Published: (2011) -
DynOpVm: VM-based software obfuscation with dynamic opcode mapping
by: CHENG, Xiaoyang, et al.
Published: (2019) -
Software Watermarking using Return-Oriented Programming
by: Ma, Haoyu, et al.
Published: (2015) -
Secure repackage-proofing framework for Android apps using Collatz conjecture
by: MA, Haoyu, et al.
Published: (2021)