A Novel Evasion Attack Against Global Electricity Theft Detectors and a Countermeasure-Reference-Cited by-同舟云学术

A Novel Evasion Attack Against Global Electricity Theft Detectors and a Countermeasure

Published:2023-06-15 Issue:12 Volume:10 Page:11038-11053
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Badr Mahmoud M.¹,Mahmoud Mohamed M. E. A.²^ORCID,Abdulaal Mohammed³^ORCID,Aljohani Abdulah Jeza⁴^ORCID,Alsolami Fawaz⁵^ORCID,Balamsh Abdullah⁶

Affiliation:

1. Department of Network and Computer Security: Cybersecurity, College of Engineering, SUNY Polytechnic Institute, Utica, NY, USA

2. KINDI Center for Computing Research, Qatar University, Doha, Qatar

3. Department of Electrical and Computer Engineering, Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdulaziz University, Jeddah, Saudi Arabia

4. Department of Electrical and Computer Engineering, Center of Excellence in Intelligent Engineering Systems, King Abdulaziz University, Jeddah, Saudi Arabia

5. Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia

6. Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

Institutional Fund Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10142029/10039065.pdf?arnumber=10039065

Reference39 articles.

1. Detection of Non-Technical Losses Using Smart Meter Data and Supervised Learning

2. ADASYN: Adaptive synthetic sampling approach for imbalanced learning;he;Proc IEEE World Congr Comput Intell,2008

3. A Novel Combined Data-Driven Approach for Electricity Theft Detection

4. A hybridized K-means clustering approach for high dimensional dataset

5. Smart grid energy fraud detection using artificial neural networks

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection;IEEE Transactions on Dependable and Secure Computing;2024-09

2. Comparative Analysis between Supervised and Anomaly Detectors Against Electricity Theft Zero-Day Attacks;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22

3. Blockchain-Based Federated Learning With Enhanced Privacy and Security Using Homomorphic Encryption and Reputation;IEEE Internet of Things Journal;2024-06-15

4. Adaptive Feature Fusion and Improved Attention Mechanism-Based Small Object Detection for UAV Target Tracking;IEEE Internet of Things Journal;2024-06-15

5. Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09