Self-attention based convolutional-LSTM for android malware detection using network traffics grayscale image

Author:

Shen Limin,Feng JiayinORCID,Chen Zhen,Sun Zhongkui,Liang Dongkui,Li Hui,Wang Yuying

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference63 articles.

1. Number of available applications in the Google Play Store from December 2009 to September 2020 (2020). https://www.statista.com/statistics/266210/number-of-available-applications-in-the-google-play-store/https://www.statista.com/statistics/266210/number-of-available-applications-in-the-google-play-store/https://www.statista.com/statistics/266210/number-of-available-applications-in-the-google-play-store/

2. Ericsson Mobility Report (2020) https://www.ericsson.com

3. Sharma T, Rattan D (2021) Malicious application detection in android-a systematic literature review. Comput Sci Rev 40(5):100373. https://doi.org/10.1016/j.cosrev.2021.100373

4. Wang S, Chen Z, Yan Q, Yang B, Peng L, Jia Z (2019) A mobile malware detection method using behavior features in network traffic. J Netw Comput Appl 133:15–25. https://doi.org/10.1016/j.jnca.2018.12.014

5. Li W, Zi W, Cai J, Cheng S (2018) An android malware detection approach using weight-adjusted deep learning. 2018 International Conference on Computing, Networking and Communications (ICNC). IEEE Computer Society. https://doi.org/10.1109/ICCNC.2018.8390391

Cited by 10 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. TDBAMLA: Temporal and dynamic behavior analysis in Android malware using LSTM and attention mechanisms;Computer Standards & Interfaces;2025-03

2. A lightweight deep learning-based android malware detection framework;Expert Systems with Applications;2024-12

3. Network traffic grant classification based on 1DCNN-TCN-GRU hybrid model;Applied Intelligence;2024-03

4. A Lightweight Malicious Traffic Identification Method Based on a Simplified Hybrid Vision Transformer Model;2024

5. PE-FedAvg: A Privacy-Enhanced Federated Learning for Distributed Android Malware Detection;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

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