The Impact of Artificial Neural Network Architecture on Network Attack Detection-Reference-Cited by-同舟云学术

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The Impact of Artificial Neural Network Architecture on Network Attack Detection

Published:2023-12-21 Issue: Volume:23 Page:532-539
ISSN:
Container-title:Proceedings of the 7th International Conference on Future Networks and Distributed Systems
language:
Short-container-title:

Author:

Xoliyarov Farhod¹^ORCID,Gulomov Sherzod²^ORCID,Bozorov Suhrobjon³^ORCID

Affiliation:

1. Department of Digital Economy and Information Technologies, Tashkent State University of Economics, Uzbekistan

2. Faculty of Cybersecurity, TUIT named after Muhammad al-Khwarizmi, Uzbekistan

3. Department of Cryptology, TUIT named after Muhammad al-Khwarizmi, Uzbekistan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3644713.3644792

Reference17 articles.

1. The Impacts of Russian Ukrainian War on the Global Economy in the frame of digital banking networks and cyber attacks

2. PROSPECTS FOR THE USE OF NEURAL NETWORK MODELS IN THE PREVENTION OF POSSIBLE NETWORK ATTACKS ON MODERN BANKING INFORMATION SYSTEMS BASED ON BLOCKCHAIN TECHNOLOGY IN THE CONTEXT OF THE DIGITAL ECONOMY

3. Application Fuzzy Neural Network Methods to Detect Cryptoattacks on Financial Information Systems Based on Blockchain Technology

4. ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks

5. Explainable Lightweight Block Attention Module Framework for Network-Based IoT Attack Detection

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