Browse
Publications
Preprints
About
About UCL Open: Env.
Aims and Scope
Editorial Board
Indexing
APCs
How to cite
Publishing policies
Editorial policy
Peer review policy
Equality, Diversity & Inclusion
About UCL Press
Contact us
For authors
Information for authors
How it works
Benefits of publishing with us
Submit
How to submit
Preparing your manuscript
Article types
Open Data
ORCID
APCs
Contributor agreement
For reviewers
Information for reviewers
Review process
How to peer review
Peer review policy
My ScienceOpen
Sign in
Register
Dashboard
Search
Browse
Publications
Preprints
About
About UCL Open: Env.
Aims and Scope
Editorial Board
Indexing
APCs
How to cite
Publishing policies
Editorial policy
Peer review policy
Equality, Diversity & Inclusion
About UCL Press
Contact us
For authors
Information for authors
How it works
Benefits of publishing with us
Submit
How to submit
Preparing your manuscript
Article types
Open Data
ORCID
APCs
Contributor agreement
For reviewers
Information for reviewers
Review process
How to peer review
Peer review policy
My ScienceOpen
Sign in
Register
Dashboard
Search
7
views
0
references
Top references
cited by
11
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
5,255
similar
All similar
Record
: found
Abstract
: not found
Book
: not found
Deep ground truth analysis of current Android malware
Author(s):
Wei
Publication date:
2017
Read this book at
Bookmark
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Core Readings in Statistical Mediation Analysis
Data availability:
Comments
Comment on this book
Sign in to comment
Similar content
5,255
Where Bladerunner began: 50 years of Do Androids Dream of Electric Sheep?
Authors:
Ananyo Bhattacharya
Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling
Authors:
Md. Islam
,
Ihsen Alouani
,
Khaled N. Khasawneh
Large-scale malware classification using random projections and neural networks
Authors:
Li Deng
,
Dong Yu
,
Jack Stokes
…
See all similar
Cited by
11
AMalNet: A deep learning framework based on graph convolutional networks for malware detection
Authors:
Xinjun Pei
,
Long Yu
,
Shengwei Tian
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
Authors:
Mayra Macas
,
Chunming Wu
,
Walter Fuertes
JOWMDroid: Android malware detection based on feature weighting with joint optimization of weight-mapping and classifier parameters
Authors:
Lingru Cai
,
Yao Li
,
Zhi Xiong
See all cited by