A DDoS Detection Method for Socially Aware Networking Based on Forecasting Fusion Feature Sequence

Author:

Cheng Jieren12,Zhou Jinghe1,Liu Qiang3ORCID,Tang Xiangyan1,Guo Yanxiang45

Affiliation:

1. School of Information Science and Technology, Hainan University, Haikou, China

2. State Key Laboratory of Marine Resource Utilization in South China Sea, Haikou, China

3. College of Computer, National University of Defense Technology, Changsha, China

4. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen China

5. Chinese University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Hainan

Hainan University Doctor Start Fund Project

Hainan University Youth Fund Project

National innovation and entrepreneurship training program for College Students

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

Reference38 articles.

1. Social network security: issues, challenges, threats, and solutions;Rathore;Inf. Sci.,2017

2. Security and privacy in the medical Internet of things;Sun;Secur. Commun. Netw.,2018

3. A cooperative quality-aware service access system for social Internet of vehicles;Ning;IEEE IoT J.,2017

4. Vehicular social networks: enabling smart mobility;Ning;IEEE Commun. Mag.,2017

5. Energy-latency trade-off for energy-aware offloading in mobile edge computing networks;Zhang;IEEE IoT J.,2017

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