World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
90
Citations
33114
World Ranking
609
National Ranking
21

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2021 - IEEE Fellow For contributions to security and privacy in vehicular communications

Overview

Rongxing Lu is affiliated with Queen's University in Canada and has an extensive publication record in the field of computer science, with a particular focus on security and privacy aspects in communication networks and data systems. Their main field of study is Computer Science, encompassing a total of 687 publications, with substantial contributions in several subfields.

The prominent subfields in Lu's work include:

  • Artificial Intelligence (362 publications)
  • Computer Networks and Communications (116 publications)
  • Information Systems (86 publications)
  • Electrical and Electronic Engineering (79 publications)
  • Signal Processing (42 publications)

Lu's research covers various topics with a focus on privacy-preserving technologies and cryptographic solutions applied to data and network security. Main topics addressed in their work are:

  • Privacy-Preserving Technologies in Data (288 publications)
  • Cryptography and Data Security (256 publications)
  • Blockchain Technology Applications and Security (74 publications)
  • Internet Traffic Analysis and Secure E-voting (64 publications)
  • Cloud Data Security Solutions (58 publications)
  • Network Security and Intrusion Detection (52 publications)
  • Satellite Communication Systems (48 publications)

Frequent co-authors include:

  • Yandong Zheng (62 collaborations)
  • Yunguo Guan (55 collaborations)
  • Songnian Zhang (55 collaborations)
  • Jun Shao (52 collaborations)
  • Hui Zhu (49 collaborations)

Lu has published extensively in the following venues:

  • IEEE Internet of Things Journal (50 publications)
  • IEEE Transactions on Dependable and Secure Computing (30 publications)
  • IEEE Transactions on Information Forensics and Security (27 publications)
  • IEEE Transactions on Services Computing (22 publications)
  • IEEE Transactions on Vehicular Technology (20 publications)

Notable recent papers include:

  • DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems, 2020, IEEE Transactions on Industrial Informatics
  • CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment, 2023, Sensors
  • Privacy-Enhanced Federated Learning Against Poisoning Adversaries, 2021, IEEE Transactions on Information Forensics and Security
  • Security and Privacy Challenges in 5G-Enabled Vehicular Networks, 2020, IEEE Network
  • Smart and Practical Privacy-Preserving Data Aggregation for Fog-Based Smart Grids, 2020, IEEE Transactions on Information Forensics and Security

In addition to journal publications, Lu has contributed to book publications with Springer International Publishing and Springer Science+Business Media. These include:

  • Detection of False Data Injection Attacks in Smart Grid Cyber-Physical Systems, 2020
  • Emerging Information Security and Applications, 2022

Rongxing Lu is recognized as an IEEE Fellow since 2021, cited for contributions to security and privacy in vehicular communications.

Best Publications

  • Smart community: an internet of things application

    Xu Li;Rongxing Lu;Xiaohui Liang;Xuemin Shen

  • ECPP: Efficient Conditional Privacy Preservation Protocol for Secure Vehicular Communications

    Rongxing Lu;Xiaodong Lin;Haojin Zhu;Pin-Han Ho

  • EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications

    Rongxing Lu;Xiaohui Liang;Xu Li;Xiaodong Lin

  • An Efficient Identity-Based Batch Verification Scheme for Vehicular Sensor Networks

    Chenxi Zhang;Rongxing Lu;Xiaodong Lin;Pin-Han Ho

  • Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption

    Ruilong Deng;Rongxing Lu;Chengzhe Lai;Tom H. Luan

  • Pseudonym Changing at Social Spots: An Effective Strategy for Location Privacy in VANETs

    Rongxing Lu;Xiaodong Li;T. H. Luan;Xiaohui Liang

  • A Lightweight Message Authentication Scheme for Smart Grid Communications

    M. M. Fouda;Z. M. Fadlullah;N. Kato;Rongxing Lu

  • False Data Injection on State Estimation in Power Systems—Attacks, Impacts, and Defense: A Survey

    Ruilong Deng;Gaoxi Xiao;Rongxing Lu;Hao Liang

  • SPRING: A Social-based Privacy-preserving Packet Forwarding Protocol for Vehicular Delay Tolerant Networks

    Rongxing Lu;Xiaodong Lin;Xuemin Shen

  • Secure provenance: the essential of bread and butter of data forensics in cloud computing

    Rongxing Lu;Xiaodong Lin;Xiaohui Liang;Xuemin (Sherman) Shen

  • DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems

    Beibei Li;Yuhao Wu;Jiarui Song;Rongxing Lu

  • A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT

    Rongxing Lu;Kevin Heung;Arash Habibi Lashkari;Ali A. Ghorbani

  • Securing smart grid: cyber attacks, countermeasures, and challenges

    Xu Li;Xiaohui Liang;Rongxing Lu;Xuemin Shen

  • Security in vehicular ad hoc networks

    Xiaodong Lin;Rongxing Lu;Chenxi Zhang;Haojin Zhu

  • Sybil Attacks and Their Defenses in the Internet of Things

    Kuan Zhang;Xiaohui Liang;Rongxing Lu;Xuemin Shen

  • An Efficient Pseudonymous Authentication Scheme With Strong Privacy Preservation for Vehicular Communications

    Yipin Sun;Rongxing Lu;Xiaodong Lin;Xuemin Shen

  • Toward efficient and privacy-preserving computing in big data era

    Rongxing Lu;Hui Zhu;Ximeng Liu;Joseph K. Liu

  • Energy-theft detection issues for advanced metering infrastructure in smart grid

    Rong Jiang;Rongxing Lu;Ye Wang;Jun Luo

  • SPARK: A New VANET-Based Smart Parking Scheme for Large Parking Lots

    R. Lu;X. Lin;H. Zhu;X. Shen

  • RAISE: An Efficient RSU-Aided Message Authentication Scheme in Vehicular Communication Networks

    Chenxi Zhang;Xiaodong Lin;Rongxing Lu;Pin-Han Ho

  • GRS: The green, reliability, and security of emerging machine to machine communications

    Rongxing Lu;Xu Li;Xiaohui Liang;Xuemin Shen

Frequent Co-Authors

Xuemin Shen
Xuemin Shen University of Waterloo
Xiaodong Lin
Xiaodong Lin University of Guelph
Xiaohui Liang
Xiaohui Liang University of Massachusetts Boston
Zhenfu Cao
Zhenfu Cao East China Normal University
Jun Shao
Jun Shao Zhejiang Gongshang University
Haojin Zhu
Haojin Zhu Shanghai Jiao Tong University
Pin-Han Ho
Pin-Han Ho University of Waterloo
Hongwei Li
Hongwei Li University of Electronic Science and Technology of China
Xu Li
Xu Li Huawei Technologies (China)
Zhiguo Shi
Zhiguo Shi Zhejiang University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a wide range of tech-driven careers. Many students and professionals also consider related online degrees to broaden their career options and skillsets. Exploring fields such as online criminal justice degree can lead to opportunities in cybersecurity, digital forensics, and law enforcement technology.

For those interested in the business side of technology, online accounting degree programs offer foundational knowledge in finance and data analysis. Integrating computer science skills with accounting can be especially valuable in fintech, auditing, and financial software development.

If your passion is data-driven decision making, a best masters in data science online provides advanced expertise in machine learning, data mining, and AI – all highly sought after by employers.

Additionally, pairing your tech background with a 2 year construction management degree online can help you pursue project management roles in the growing field of smart infrastructure and construction technology.

Choosing a related online degree alongside Computer Science can give you a competitive edge and open new pathways across multiple industries.

Best Scientists Citing Rongxing Lu

Trending Scientists