Machine Learning Based Non-intrusive Digital Forensic Service for Smart Homes-Reference-Cited by-同舟云学术

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Machine Learning Based Non-intrusive Digital Forensic Service for Smart Homes

Published:2022 Issue: Volume: Page:1-1
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Liu Xuanyu¹^ORCID,Fu Xiao¹^ORCID,Du Xiaojiang²^ORCID,Luo Bin¹,Guizani Mohsen³^ORCID

Affiliation:

1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

2. Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA

3. Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/5699970/09964107.pdf?arnumber=9964107

Cited by 4 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. Hybrid Prompt Learning for Generating Justifications of Security Risks in Automation Rules;ACM Transactions on Intelligent Systems and Technology;2024-06-29

2. FAMMNPB: Design of an Enhanced Forensic Analysis Model with Multidomain Feature Extraction and Advanced Neural Architecture for Permissioned Blockchains;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

3. Leverging graphbased Analysis and Deep learning for Dynamic cloud forensic profiling operations;Proceedings of the 5th International Conference on Information Management & Machine Intelligence;2023-11-23

4. RTIFQLD: An Integrated Framework for RealTime IoT Forensic Analysis via Incremental QLearning Modelled with Resource Aware DQN Operations;Proceedings of the 5th International Conference on Information Management & Machine Intelligence;2023-11-23

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