Opcode sequence analysis of Android malware by a convolutional neural network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Opcode sequence analysis of Android malware by a convolutional neural network

Published:2019-05-09 Issue:18 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Li Dan¹^ORCID,Zhao Lichao¹,Cheng Qingfeng²,Lu Ning¹³,Shi Wenbo⁴

Affiliation:

1. School of Computer Science and Engineering Northeastern University Shenyang China

2. State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

3. School of Computer Science and Technology Xidian University Xi'an China

4. School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5308

Reference41 articles.

1. Power domain NOMA to support group communication in public safety networks

2. Interference cancellation for non-orthogonal multiple access used in future wireless mobile networks

3. An improved and secure multiserver authentication scheme based on biometrics and smartcard

4. Increasing public safety broadband network resiliency through traffic control

5. A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CloudIntellMal: An advanced cloud based intelligent malware detection framework to analyze android applications;Computers and Electrical Engineering;2024-10

2. Android malware detection framework based on sensitive opcodes and deep reinforcement learning;Journal of Intelligent & Fuzzy Systems;2024-04-18

3. HertDroid: Android Malware Detection Method with Influential Node Filter and Heterogeneous Graph Transformer;Applied Sciences;2024-04-09

4. Android malware analysis and detection: A systematic review;Expert Systems;2023-10-25

5. Android Malware Detection Methods Based on Convolutional Neural Network: A Survey;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3