SSA and BPNN Based Efficient Situation Prediction Model for Cyber Security-Reference-Cited by-同舟云学术

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SSA and BPNN Based Efficient Situation Prediction Model for Cyber Security

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 18th International Conference on Mobility, Sensing and Networking (MSN)
language:
Short-container-title:

Author:

Cheng Minglong¹,Jia Guoqing¹,Fang Weidong²,Gao Zhiwei³,Zhang Wuxiong²

Affiliation:

1. College of Physics and Electronic Information Engineering, Qinghai Minzu University,Xining,P. R. China,810007

2. Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences,Science and Technology on Micro-System Laboratory,Shanghai,P. R. China,201899

3. Ceprei Certification Body, the Fifth Electronics Research Institute of Ministry of Industry and Information Technology

Funder

Applied Basic Research Program of Qinghai Province

Shanghai Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10076543/10076544/10076681.pdf?arnumber=10076681

Reference18 articles.

1. A novel swarm intelligence optimization approach: sparrow search algorithm

2. A DDoS Attack Situation Assessment Method via Optimized Cloud Model Based on Influence Function

3. Network traffic prediction of the optimized BP neural network based on Glowworm Swarm Algorithm

4. A robust image encryption scheme using chaotic tent map and cellular automata

5. An abnormal network flow feature sequence prediction approach for DDoS attacks detection in big data environment;cheng;Comput Mater Continua,2018

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