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Bing Chen - IEEE Xplore Author Profile
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Bing Chen

Publications
69
Citations
1,805
Publications by Year
20092025
Co-Authors:
Show All Co-Authors (137)
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Bing Chen

Affiliation

College of Computer Science and Technology
Nanjing University of Aeronautics and Astronautics
Nanjing, China

Publication Topics

Biography

Bing Chen (Member, IEEE) received the B.S. and M.S. degrees in computer engineering from Nanjing University of Aeronautics and Astronautics (NUAA), China, in 1992 and 1995, respectively, and the Ph.D. degree from the College of Compute Science and Technology, NUAA, in 2008. He is currently a Full Professor with the College of Compute Science and Technology, NUAA. His research interests include cloud/edge computing, security and privacy, FL, and wireless communications.(Based on document published on 4 April 2024).
Publications
69
Citations
1,805
Publications by Year
20092025
Co-Authors:
Show All Co-Authors (137)
Author's Published Works

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Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey

Bosen Rao;Jiale Zhang;Di Wu;Chengcheng Zhu;Xiaobing Sun;Bing Chen

IEEE Transactions on Artificial Intelligence
Year: 2025 | Volume: 6, Issue: 2 | Journal Article |
Cited by: Papers (1)
The emergence of new machine learning methods has led to their widespread application across various domains, significantly advancing the field of artificial intelligence. However, the process of training and inferring machine learning models relies on vast amounts of data, which often include sensitive private information. Consequently, the privacy and security of machine learning have encountere...Show More

Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey

Bosen Rao;Jiale Zhang;Di Wu;Chengcheng Zhu;Xiaobing Sun;Bing Chen

Year: 2025 | Volume: 6, Issue: 2 | Journal Article |

Aircraft Heat Exchanger Fault Detection Model Based on Extended Kalman Filter

Xinxin Liu;Bing Chen;Yifeng Zhang;Xizhen Cui

2024 4th International Conference on Electrical Engineering and Control Science (IC2ECS)
Year: 2024 | Conference Paper |
Heat exchangers are crucial components of aircraft air management systems, primarily responsible for cooling high-temperature engine bleed air and providing air at the appropriate temperature for downstream gas systems. Failures in heat exchangers can reduce heat transfer efficiency, affect the performance of air management systems, and in severe cases, even lead to catastrophic accidents for airc...Show More

Aircraft Heat Exchanger Fault Detection Model Based on Extended Kalman Filter

Xinxin Liu;Bing Chen;Yifeng Zhang;Xizhen Cui

Year: 2024 | Conference Paper |

UAV-Assisted Active Sparse Crowdsensing for Ground Signal Map Construction Based on 3-D Spatial–Temporal Correlation

Chengyong Liu;Kun Zhu;Chaoquan Tao;Bing Chen;Yanchao Zhao

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 16 | Journal Article |
Cited by: Papers (1)
Mobile crowdsensing (MCS) has been applied for signal map construction in smart city. MCS leverages the mobility of users and the sensors embedded in mobile phones to collect and transfer sensing data. However, it is still costly for MCS to cover large-scale regions. Accordingly, data recovery algorithms are proposed, which allow participants to collect only few signal data and infer the remainder...Show More

UAV-Assisted Active Sparse Crowdsensing for Ground Signal Map Construction Based on 3-D Spatial–Temporal Correlation

Chengyong Liu;Kun Zhu;Chaoquan Tao;Bing Chen;Yanchao Zhao

Year: 2024 | Volume: 11, Issue: 16 | Journal Article |

Toward Online Reliability-Enhanced Microservice Deployment With Layer Sharing in Edge Computing

You Shi;Yuye Yang;Changyan Yi;Bing Chen;Jun Cai

IEEE Internet of Things Journal
Year: 2024 | Volume: 11, Issue: 13 | Journal Article |
Cited by: Papers (6)
Container–based microservice provisioning, with its elasticity in terms of the layered structure, enables the sharing of common layers among different edge computing tasks, both within and across edge servers (ESs). However, due to the potential hardware breakdowns, each ES may prone to failures, affecting its lifetime (i.e., the time-length that an ES works continuously without interruptions), an...Show More

Toward Online Reliability-Enhanced Microservice Deployment With Layer Sharing in Edge Computing

You Shi;Yuye Yang;Changyan Yi;Bing Chen;Jun Cai

Year: 2024 | Volume: 11, Issue: 13 | Journal Article |

FLPurifier: Backdoor Defense in Federated Learning via Decoupled Contrastive Training

Jiale Zhang;Chengcheng Zhu;Xiaobing Sun;Chunpeng Ge;Bing Chen;Willy Susilo;Shui Yu

IEEE Transactions on Information Forensics and Security
Year: 2024 | Volume: 19 | Journal Article |
Cited by: Papers (4)
Recent studies have demonstrated that backdoor attacks can cause a significant security threat to federated learning. Existing defense methods mainly focus on detecting or eliminating the backdoor patterns after the model is backdoored. However, these methods either cause model performance degradation or heavily rely on impractical assumptions, such as labeled clean data, which exhibit limited eff...Show More

FLPurifier: Backdoor Defense in Federated Learning via Decoupled Contrastive Training

Jiale Zhang;Chengcheng Zhu;Xiaobing Sun;Chunpeng Ge;Bing Chen;Willy Susilo;Shui Yu

Year: 2024 | Volume: 19 | Journal Article |

BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation

Jiale Zhang;Chengcheng Zhu;Chunpeng Ge;Chuan Ma;Yanchao Zhao;Xiaobing Sun;Bing Chen

IEEE Transactions on Dependable and Secure Computing
Year: 2024 | Volume: 21, Issue: 5 | Journal Article |
Cited by: Papers (4)
As a privacy-preserving distributed learning paradigm, federated learning (FL) has been proven to be vulnerable to various attacks, among which backdoor attack is one of the toughest. In this attack, malicious users attempt to embed backdoor triggers into local models, resulting in the crafted inputs being misclassified as the targeted labels. To address such attack, several defense mechanisms are...Show More

BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation

Jiale Zhang;Chengcheng Zhu;Chunpeng Ge;Chuan Ma;Yanchao Zhao;Xiaobing Sun;Bing Chen

Year: 2024 | Volume: 21, Issue: 5 | Journal Article |

A Three-Party Hierarchical Game for Physical Layer Security Aware Wireless Communications With Dynamic Trilateral Coalitions

Ruoyang Chen;Changyan Yi;Kun Zhu;Bing Chen;Jun Cai;Mohsen Guizani

IEEE Transactions on Wireless Communications
Year: 2024 | Volume: 23, Issue: 5 | Journal Article |
Cited by: Papers (12)
In this paper, a novel hierarchical game framework for physical layer security (PLS) aware wireless communications with dynamic trilateral coalitions is studied. In the considered system, legitimate users (LUs) aim to transmit secret data to associated base stations (BSs) via uplink communications under the threat of eavesdroppers (EVs), while there also exist jammers (JAs) which may choose to for...Show More

A Three-Party Hierarchical Game for Physical Layer Security Aware Wireless Communications With Dynamic Trilateral Coalitions

Ruoyang Chen;Changyan Yi;Kun Zhu;Bing Chen;Jun Cai;Mohsen Guizani

Year: 2024 | Volume: 23, Issue: 5 | Journal Article |

Service Migration or Task Rerouting: A Two-Timescale Online Resource Optimization for MEC

You Shi;Changyan Yi;Ran Wang;Qiang Wu;Bing Chen;Jun Cai

IEEE Transactions on Wireless Communications
Year: 2024 | Volume: 23, Issue: 2 | Journal Article |
Cited by: Papers (25)
In this paper, a novel two-timescale resource management framework for mobile edge computing (MEC) is constructed. Unlike existing studies, for providing seamless and cost-efficient MEC services, this work aims to strike the balance between service migration and task rerouting for mobile devices (MDs) whenever handovers occur (i.e., switching access from one edge server to another). Considering th...Show More

Service Migration or Task Rerouting: A Two-Timescale Online Resource Optimization for MEC

You Shi;Changyan Yi;Ran Wang;Qiang Wu;Bing Chen;Jun Cai

Year: 2024 | Volume: 23, Issue: 2 | Journal Article |

A Two-Timescale Online Optimization for Balancing Service Migration and Task Rerouting in MEC

You Shi;Changyan Yi;Bing Chen;Chenze Yang;Jun Cai

GLOBECOM 2023 - 2023 IEEE Global Communications Conference
Year: 2023 | Conference Paper |
Cited by: Papers (2)
In this paper, a novel two-timescale resource management framework for mobile edge computing (MEC) is constructed. For providing seamless and cost-efficient MEC services, this work aims to strike the balance between service migration and task rerouting for mobile devices (MDs) whenever handovers occur (i.e., switching access from one edge server to another). Considering the network dynamics (e.g.,...Show More

A Two-Timescale Online Optimization for Balancing Service Migration and Task Rerouting in MEC

You Shi;Changyan Yi;Bing Chen;Chenze Yang;Jun Cai

Year: 2023 | Conference Paper |

SAPPX: Securing COTS Binaries with Automatic Program Partitioning for Intel SGX

Jiawei Huang;Hao Han;Fengyuan Xu;Bing Chen

2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
In the era of cloud computing, many applications are migrated to public servers not fully controlled by users who may fear their critical operations or data from being compromised by attackers. Previous studies have shown that Intel SGX enclaves can improve applications’ security in many market products. Yet they mainly rely on developers to reprogram and recompile the application into an SGX-awar...Show More

SAPPX: Securing COTS Binaries with Automatic Program Partitioning for Intel SGX

Jiawei Huang;Hao Han;Fengyuan Xu;Bing Chen

Year: 2023 | Conference Paper |

A DRL-Based Hierarchical Game for Physical Layer Security with Dynamic Trilateral Coalitions

Ruoyang Chen;Changyan Yi;Kun Zhu;Jun Cai;Bing Chen

ICC 2023 - IEEE International Conference on Communications
Year: 2023 | Conference Paper |
Cited by: Papers (5)
In this paper, a novel hierarchical game framework for physical layer security (PLS) with dynamic trilateral coalitions is studied. In the considered system, legitimate users (LUs) aim to transmit secret data to associated base stations (BSs) via uplink communications under the threat of eavesdroppers (EVs), while there also exists jammers (JAs) which may choose to form coalitions with either LUs ...Show More

A DRL-Based Hierarchical Game for Physical Layer Security with Dynamic Trilateral Coalitions

Ruoyang Chen;Changyan Yi;Kun Zhu;Jun Cai;Bing Chen

Year: 2023 | Conference Paper |

Workload Re-Allocation for Edge Computing With Server Collaboration: A Cooperative Queueing Game Approach

Changyan Yi;Jun Cai;Tong Zhang;Kun Zhu;Bing Chen;Qiang Wu

IEEE Transactions on Mobile Computing
Year: 2023 | Volume: 22, Issue: 5 | Journal Article |
Cited by: Papers (34)
In this paper, a long-term workload management problem for multi-server edge computing with server collaboration is studied. In the considered model, mobile users’ computation-intensive tasks are generated dynamically over the time and offloaded to associated edge servers according to pre-determined subscription agreements. Upon receiving the subscribed workload, each edge server can then decide t...Show More

Workload Re-Allocation for Edge Computing With Server Collaboration: A Cooperative Queueing Game Approach

Changyan Yi;Jun Cai;Tong Zhang;Kun Zhu;Bing Chen;Qiang Wu

Year: 2023 | Volume: 22, Issue: 5 | Journal Article |

ALGANs: Enhancing membership inference attacks in federated learning with GANs and active learning

Yuanyuan Xie;Bing Chen;Jiale Zhang;Wenjuan Li

2022 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Federated learning has received a lot of attention in recent years due to its privacy protection features. However, federated learning is susceptible to various inference attacks. Membership inference attack aims to determine whether the target data is a member or non-member of the target federated learning model, which poses a serious threat to the privacy of the training data set. Membership inf...Show More

ALGANs: Enhancing membership inference attacks in federated learning with GANs and active learning

Yuanyuan Xie;Bing Chen;Jiale Zhang;Wenjuan Li

Year: 2022 | Conference Paper |

APTKG: Constructing Threat Intelligence Knowledge Graph from Open-Source APT Reports Based on Deep Learning

Lixiao Sun;Zitong Li;Lei Xie;Mai Ye;Bing Chen

2022 5th International Conference on Data Science and Information Technology (DSIT)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Advanced persistent threats (APTs) pose a serious threat to the security of cyberspace. Recently, more and more security organizations and vendors have been focusing on cyber threat intelligence (CTI) to tackle APTs. Particularly, some researchers have introduced knowledge graphs to aggregate CTIs and explore the potential intelligence value. This paper presents APTKG, a framework for automaticall...Show More

APTKG: Constructing Threat Intelligence Knowledge Graph from Open-Source APT Reports Based on Deep Learning

Lixiao Sun;Zitong Li;Lei Xie;Mai Ye;Bing Chen

Year: 2022 | Conference Paper |

Closed-Loop Control of Edge-Cloud Collaboration Enabled IIoT: An Online Optimization Approach

You Shi;Changyan Yi;Bing Chen;Chenze Yang;Xiangping Zhai;Jun Cai

ICC 2022 - IEEE International Conference on Communications
Year: 2022 | Conference Paper |
Cited by: Papers (4)
In this paper, an energy-efficient resource management framework for industrial Internet of Things (IIoT) with closed-loop control on end devices, edge servers (ESs) and cloud center (CC) is studied. In the considered model, each ES aggregates the data collected by industrial sensors (i.e., end devices) and forms computation tasks for corresponding data analysis. In order to minimize the system-wi...Show More

Closed-Loop Control of Edge-Cloud Collaboration Enabled IIoT: An Online Optimization Approach

You Shi;Changyan Yi;Bing Chen;Chenze Yang;Xiangping Zhai;Jun Cai

Year: 2022 | Conference Paper |

A Computation Offloading Game for Jointly Managing Local Pre-Processing Time-Length and Priority Selection in Edge Computing

Yong Yuan;Changyan Yi;Bing Chen;You Shi;Jun Cai

IEEE Transactions on Vehicular Technology
Year: 2022 | Volume: 71, Issue: 9 | Journal Article |
Cited by: Papers (9)
Edge computing has been regarded as an enabling technology for supporting future smart applications, such as industrial Internet of Things. In this paper, a novel computation offloading framework for edge computing is proposed. Unlike existing studies, this work considers that end users can intentionally reserve some time for local pre-processing before requesting the computation offloading servic...Show More

A Computation Offloading Game for Jointly Managing Local Pre-Processing Time-Length and Priority Selection in Edge Computing

Yong Yuan;Changyan Yi;Bing Chen;You Shi;Jun Cai

Year: 2022 | Volume: 71, Issue: 9 | Journal Article |

Edge-based Protection Against Malicious Poisoning for Distributed Federated Learning

Qi Chen;Bing Chen;Feng Hu;Jiale Zhang

2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Federated learning is proposed to solve data islands and protect privacy. Especially in the big data environment, participating users can build a model together without sharing private sensitive data. However, as the number of end devices becomes larger, and the model becomes more complex, high concurrent access to the cloud server often brings communication delay, and it is also a great challenge...Show More

Edge-based Protection Against Malicious Poisoning for Distributed Federated Learning

Qi Chen;Bing Chen;Feng Hu;Jiale Zhang

Year: 2022 | Conference Paper |

Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey

Tianxu Li;Kun Zhu;Nguyen Cong Luong;Dusit Niyato;Qihui Wu;Yang Zhang;Bing Chen

IEEE Communications Surveys & Tutorials
Year: 2022 | Volume: 24, Issue: 2 | Journal Article |
Cited by: Papers (93)
Future Internet involves several emerging technologies such as 5G and beyond 5G networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of Things (IoTs). Moreover, the future Internet becomes heterogeneous and decentralized with a large number of involved network entities. Each entity may need to make its local decision to improve the network performance under dynamic an...Show More

Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey

Tianxu Li;Kun Zhu;Nguyen Cong Luong;Dusit Niyato;Qihui Wu;Yang Zhang;Bing Chen

Year: 2022 | Volume: 24, Issue: 2 | Journal Article |

Joint Online Optimization of Data Sampling Rate and Preprocessing Mode for Edge–Cloud Collaboration-Enabled Industrial IoT

You Shi;Changyan Yi;Bing Chen;Chenze Yang;Kun Zhu;Jun Cai

IEEE Internet of Things Journal
Year: 2022 | Volume: 9, Issue: 17 | Journal Article |
Cited by: Papers (31)
Edge–cloud collaboration is critical in the Industrial Internet of Things (IIoT) for serving computation-intensive tasks (e.g., bearing fault monitoring) that require low-response delay, low energy consumption, and high processing accuracy. In this article, an energy-efficient resource management framework for IIoT with closed-loop control on end devices, edge servers, and cloud center is studied....Show More

Joint Online Optimization of Data Sampling Rate and Preprocessing Mode for Edge–Cloud Collaboration-Enabled Industrial IoT

You Shi;Changyan Yi;Bing Chen;Chenze Yang;Kun Zhu;Jun Cai

Year: 2022 | Volume: 9, Issue: 17 | Journal Article |

RobustFL: Robust Federated Learning Against Poisoning Attacks in Industrial IoT Systems

Jiale Zhang;Chunpeng Ge;Feng Hu;Bing Chen

IEEE Transactions on Industrial Informatics
Year: 2022 | Volume: 18, Issue: 9 | Journal Article |
Cited by: Papers (21)
Industrial Internet of Things (IIoT) systems are key enabling infrastructures that sustain the functioning of production and manufacturing. To satisfy the intelligence demands, federated learning has been envisioned as a promising technique for IIoT applications with privacy training requirements. However, research works have shown that, by training the local model on crafted poisoning samples mal...Show More

RobustFL: Robust Federated Learning Against Poisoning Attacks in Industrial IoT Systems

Jiale Zhang;Chunpeng Ge;Feng Hu;Bing Chen

Year: 2022 | Volume: 18, Issue: 9 | Journal Article |

Distributed Clustering-Based Cooperative Vehicular Edge Computing for Real-Time Offloading Requests

Junhua Wang;Kun Zhu;Bing Chen;Zhu Han

IEEE Transactions on Vehicular Technology
Year: 2022 | Volume: 71, Issue: 1 | Journal Article |
Cited by: Papers (23)
Mobile vehicles have been considered as potential edge servers to provide computation resources for the emerging Intelligent Transportation System (ITS) applications. However, how to fully utilize the mobile computation resources to satisfy the real-time arrived computation requests has not been explored yet. This work will address the critical challenges of limited computation resources, stringen...Show More

Distributed Clustering-Based Cooperative Vehicular Edge Computing for Real-Time Offloading Requests

Junhua Wang;Kun Zhu;Bing Chen;Zhu Han

Year: 2022 | Volume: 71, Issue: 1 | Journal Article |

Optimizing NB-IoT Power Consumption via Adaptive Radio Access

Xiangmao Chang;Kai Chen;Guoliang Xing;Jun Huang;Bing Chen

IEEE Internet of Things Journal
Year: 2022 | Volume: 9, Issue: 6 | Journal Article |
Cited by: Papers (5)
Narrowband Internet of Things (NB-IoT) standardized by the 3GPP has attracted significant attention since its appearance. It provides extended coverage, high capacity, reduced device processing complexity, and low-power consumption to meet the requirements of a wide range of IoT applications. In particular, NB-IoT is expected to bring IoT devices prolonged lifetime up to ten years. Radio access (R...Show More

Optimizing NB-IoT Power Consumption via Adaptive Radio Access

Xiangmao Chang;Kai Chen;Guoliang Xing;Jun Huang;Bing Chen

Year: 2022 | Volume: 9, Issue: 6 | Journal Article |

Defending against Membership Inference Attacks in Federated learning via Adversarial Example

Yuanyuan Xie;Bing Chen;Jiale Zhang;Di Wu

2021 17th International Conference on Mobility, Sensing and Networking (MSN)
Year: 2021 | Conference Paper |
Cited by: Papers (8)
Federated learning has attracted attention in recent years due to its native privacy-preserving features. However, it is still vulnerable to various membership inference attacks, such as backdoor, poisoning, and adversarial attacks. Membership Inference attack aims to discover the data used to train the model, which leads to privacy leaking ramifications on participants who use their local data to...Show More

Defending against Membership Inference Attacks in Federated learning via Adversarial Example

Yuanyuan Xie;Bing Chen;Jiale Zhang;Di Wu

Year: 2021 | Conference Paper |

Improved Dynamic Artificial Potential Field Method Based on Remote Sensing of Internet of Vehicles and Prediction

Ji Gao;Bing Chen;Ji Zhang;Wenming Li;Jie Hao

2021 7th International Conference on Computer and Communications (ICCC)
Year: 2021 | Conference Paper |
The Internet of Vehicles has increased the demand for obstacle avoidance algorithms for autonomous vehicles in dynamic scenarios. Artificial potential field method has become a local obstacle avoidance scheme adopted by many autonomous vehicles thanks to its advantages such as the removal of the need for drawing the map, low computational cost and high real-time performance. However, when facing a...Show More

Improved Dynamic Artificial Potential Field Method Based on Remote Sensing of Internet of Vehicles and Prediction

Ji Gao;Bing Chen;Ji Zhang;Wenming Li;Jie Hao

Year: 2021 | Conference Paper |

Device-Free Secure Interaction With Hand Gestures in WiFi-Enabled IoT Environment

Yanchao Zhao;Ran Gao;Shangqing Liu;Lei Xie;Jie Wu;Huawei Tu;Bing Chen

IEEE Internet of Things Journal
Year: 2021 | Volume: 8, Issue: 7 | Journal Article |
Cited by: Papers (17)
Recent research advancement of wireless sensing technology has made device-free interaction in the WiFi-enabled IoT environment possible. Although gesture-based interaction with such a smart environment greatly improves usability, it also introduces many security problems, such as shoulder surfing attacks. By spoofing the gestures of legitimate users, the attacker could easily access private infor...Show More

Device-Free Secure Interaction With Hand Gestures in WiFi-Enabled IoT Environment

Yanchao Zhao;Ran Gao;Shangqing Liu;Lei Xie;Jie Wu;Huawei Tu;Bing Chen

Year: 2021 | Volume: 8, Issue: 7 | Journal Article |

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