Manipulating Supply Chain Demand Forecasting With Targeted Poisoning Attacks-Reference-Cited by-同舟云学术

Manipulating Supply Chain Demand Forecasting With Targeted Poisoning Attacks

Published:2023-02 Issue:2 Volume:19 Page:1803-1813
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Chen Jian¹^ORCID,Gao Yuan¹,Shan Jinyong²,Peng Kai¹^ORCID,Wang Chen¹^ORCID,Jiang Hongbo³^ORCID

Affiliation:

1. Hubei Key Laboratory of Smart Internet Technology, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

2. Sudo Technology Company, LTD., Beijing, China

3. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Key Research and Development Program of Hubei Province

Wuhan Yellow Crane Talents Program

Excellent Young Scholar

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9989328/09779435.pdf?arnumber=9779435

Reference34 articles.

1. Data Integrity Attacks against Traffic Modeling and Forecasting in M2M Communications

2. Bi-level poisoning attack model and countermeasure for appliance consumption data of smart homes;billah;Energies,2021

3. Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion

4. Demand forecasting in pharmaceutical supply chains: A case study

5. Joint Adversarial Example and False Data Injection Attacks for State Estimation in Power Systems

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