DNNdroid: Android Malware Detection Framework Based on Federated Learning and Edge Computing
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23095-0_7
Reference31 articles.
1. Alyamani, H.J.: Cyber security for federated learning environment using AI technique. Expert Syst. e13080 (2022)
2. Arisdakessian, S., Wahab, O.A., Mourad, A., Otrok, H., Guizani, M.: A survey on IoT intrusion detection: federated learning, game theory, social psychology and explainable AI as future directions. IEEE Internet Things J. (2022). https://doi.org/10.1109/JIOT.2022.3203249
3. Arp, D., Spreitzenbarth, M., Hubner, M., Gascon, H., Rieck, K., Siemens, C.: Drebin: effective and explainable detection of android malware in your pocket. In: NDSS, vol. 14, pp. 23–26 (2014)
4. Enck, W., et al.: TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones. ACM Trans. Comput. Syst. (TOCS) 32(2), 1–29 (2014)
5. Faruki, P., Ganmoor, V., Laxmi, V., Gaur, M.S., Bharmal, A.: AndroSimilar: robust statistical feature signature for android malware detection. In: Proceedings of the 6th International Conference on Security of Information and Networks, pp. 152–159 (2013)
Cited by 6 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. AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks;Ad Hoc Networks;2024-08
2. Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey;Computers and Electrical Engineering;2024-07
3. PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection;Scientific Reports;2024-05-10
4. Enhancing Robustness within the Collaborative Federated Learning Framework: A Novel Grouping Algorithm for Edge Clients;Applied Sciences;2024-04-12
5. PARUDroid: Framework that Enhances Smartphone Security Using an Ensemble Learning Approach;SN Computer Science;2023-08-23
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