AI for Finance (AIFF): from Abnormal Data Recognition to Information System Intrusion Detection-Reference-Cited by-同舟云学术

AI for Finance (AIFF): from Abnormal Data Recognition to Information System Intrusion Detection

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Edge Computing and Applications (ICECAA)
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Author:

Xiaoyuan Zhang¹

Affiliation:

1. Shandong Youth University Of Political Science, Accounting School,Jinan,China,250103

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211064/10212098/10212346.pdf?arnumber=10212346

Reference18 articles.

1. A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms;mendonça;Expert Systems,2022

2. Intrusion detection using anomaly detection algorithm and snort;chika;Illumination of Artificial Intelligence in Cybersecurity and Forensics,2022

3. IMIDS: An intelligent intrusion detection system against cyber threats in IoT;kim-hung;Electronics,2022

4. An intelligent intrusion detection system for distributed denial of service attacks: A support vector machine with hybrid optimization algorithm based approach;sumathi;Concurrency and Computation Practice and Experience,2022

5. Comparison of system call representations for intrusion detection;sarah;International Joint Conference 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019),2019

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