An intelligent proactive defense against the client‐side DNS cache poisoning attack via self‐checking deep reinforcement learning-Reference-Cited by-同舟云学术

An intelligent proactive defense against the client‐side DNS cache poisoning attack via self‐checking deep reinforcement learning

Published:2022-05-27 Issue:10 Volume:37 Page:8170-8197
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Ma Tengchao¹,Xu Changqiao¹^ORCID,Yang Shujie¹,Huang Yiting¹,Kuang Xiaohui²,Tang Hong³,Grieco Luigi Alfredo⁴

Affiliation:

1. Network Architecture Research Center, State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

2. Institute Of System Engineering, National Key Laboratory of Science and Technology on Information System Security Beijing China

3. Institute of Data Communications Research, China Telecom Guangzhou China

4. Department of Electrical and Information Engineering (DEI) Politecnico di Bari Bari Italy

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22934

Reference52 articles.

1. IoTFinder: Efficient Large-Scale Identification of IoT Devices via Passive DNS Traffic Analysis

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3. A multi‐user cost‐efficient crowd‐assisted VR content delivery solution in 5G‐and‐beyond heterogeneous networks;Zhong L;J Inf Sci Eng,2020

4. Load Distributed and Benign-Bot Mitigation Methods for IoT DNS Flood Attacks

5. BenomarZ LongoF MerlinoG PuliafitoA.A cloud‐based and dynamic DNS approach to enable the Web of Things.IEEE Trans Network Sci Eng;2021.

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