Prof. Junsong Fu | Data Privacy and Security | Outstanding Contributions in Academia Award

Associate Professor at Beijing University of Posts and Telecommunications, China

Dr. Junsong Fu is an Associate Professor at the School of Cyberspace Security, Beijing University of Posts and Telecommunications (BUPT), where he also serves as a Ph.D. supervisor. He directs the Cybersecurity Laboratory and holds the position of Deputy Director at the Security Testing Institute within the National Engineering Research Center for Mobile Internet Security Technology. Additionally, Dr. Fu leads the Ubiquitous Cyberspace Security Practical Teaching Sub-platform and oversees various cyberspace security discipline competitions and innovation projects. His dedication to the field is further exemplified by his role as a Youth Editorial Board Member for “Information Network Security” and recognition as a High-Contributing Author by Wiley China.

Profile

Scopus

Education

Dr. Fu completed his undergraduate and doctoral studies at Beijing Jiaotong University, earning his Ph.D. in 2018. He further enriched his academic experience as a Visiting Scholar at Purdue University, where he expanded his research horizons and collaborated with international experts in cybersecurity.

Experience

Since joining BUPT in 2018, Dr. Fu has progressed from Assistant Professor to Associate Professor. In his tenure, he has been instrumental in founding the BUPT Tianxuan Network Attack and Defense Team, guiding students to achieve over 70 awards in network security competitions, including a national championship at the 17th National College Student Information Security Contest Innovation Practice Competition in 2024. His leadership has earned him multiple accolades, such as the “Outstanding Instructor Award,” “Excellence in Leadership Award,” and “Outstanding Organization Award.”

Research Interests

Dr. Fu’s research is deeply rooted in network attack and defense mechanisms. He has a particular focus on the security vulnerabilities within mobile internet, Internet of Things (IoT), and vehicular networks. His work encompasses the detection of security flaws in mobile internet, IoT, and vehicular networks, as well as the protection of data privacy in open cloud computing platforms. Dr. Fu has led his team to discover over 100 zero-day vulnerabilities across IoT, vehicular networks, and 4G/5G networks, significantly contributing to the enhancement of cybersecurity measures in these domains.

Awards

Throughout his career, Dr. Fu has been the recipient of numerous honors that reflect his commitment to excellence in cybersecurity. Notably, he was selected for the BUPT 1551 Talent Program Support and received the National Defense Science and Technology “Leading” Fund. His academic prowess was recognized early on when he was named an Outstanding Ph.D. Graduate by Beijing Municipality. Additionally, his contributions to academic publishing have been acknowledged through his designation as a High-Contributing Author by Wiley China. Dr. Fu’s mentorship has also been celebrated with awards such as the “Outstanding Instructor Award,” “Excellence in Leadership Award,” and “Outstanding Organization Award,” underscoring his dedication to nurturing the next generation of cybersecurity professionals.

Publications

Dr. Fu has an extensive publication record, with over 60 academic papers to his name, including more than 20 papers in top-tier journals classified as CCF-A or Chinese Academy of Sciences Tier 1. Some of his notable publications include:

“Secure Data Storage and Searching for Industrial IoT by Integrating Fog Computing and Cloud Computing” (2018) published in IEEE Transactions on Industrial Informatics. This paper addresses the challenges of secure data storage and retrieval in industrial IoT environments by leveraging the combined strengths of fog and cloud computing.

“Privacy-Preserving in Healthcare Blockchain Systems Based on Lightweight Message Sharing” (2020) published in Sensors. This research proposes a lightweight message-sharing mechanism to ensure privacy preservation in healthcare blockchain systems.

“Source-Location Privacy Protection Based on Anonymity Cloud in Wireless Sensor Networks” (2019) published in IEEE Transactions on Information Forensics and Security. The study introduces an anonymity cloud approach to protect source-location privacy in wireless sensor networks.

“Efficient Retrieval Over Documents Encrypted by Attributes in Cloud Computing” (2018) published in IEEE Transactions on Information Forensics and Security. This paper presents methods for efficient retrieval of attribute-encrypted documents in cloud computing environments.

“Malicious JavaScript Detection Based on Bidirectional LSTM Model” (2020) published in Applied Sciences. The research focuses on detecting malicious JavaScript using bidirectional Long Short-Term Memory models.

“Source-Location Privacy Full Protection in Wireless Sensor Networks” (2018) published in Information Sciences. This study explores comprehensive protection strategies for source-location privacy in wireless sensor networks.

“Double Cluster Heads Model for Secure and Accurate Data Fusion in Wireless Sensor Networks” (2015) published in Sensors. The paper proposes a double cluster heads model to enhance security and accuracy in data fusion within wireless sensor networks.

Conclusion

Dr. Junsong Fu’s career is marked by a steadfast commitment to advancing cybersecurity through research, education, and practical applications. His leadership in identifying critical vulnerabilities and mentoring future cybersecurity experts has significantly bolstered the security posture of modern network infrastructures. Dr. Fu’s contributions continue to shape the evolving landscape of cyberspace security, reflecting his dedication to creating a safer digital world.