Projects per year
Personal profile
University profile
Dr. Boxiang Dong is assistant professor in the Computer Science Department at Montclair State University. He received a Ph.D in Computer Science from Department of Computer Science of Stevens Institute of Technology.
His research interests fall into the intersection of cybersecurity and big data analytics. In particular, his research topics cover:
Applying deep learning in intrusion detection, financial fraud detection and weather forecast
Causal inference in environment change
Privacy-preserving and authenticated data computations
Research interests
Intersection of cybersecurity and big data analytics. In particular, his research topics cover:
Applying deep learning in intrusion detection, financial fraud detection and weather forecast
Causal inference in environment change
Privacy-preserving and authenticated data computations
Scholarly Interests
Machine learning and cybersecurity
Faculty/Media Expert
Expert on intrusion detection, financial risk analysis, verifiable computation, and privacy-preserving data mining.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Projects
- 1 Finished
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REU SITE: Enhancing Undergraduate Research Experiences in Cybersecurity and Privacy-Enhanced Technologies
Samanthula, B. K. (PI) & Dong, B. (CoPI)
15/03/21 → 29/02/24
Project: Research
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2D-FACT: Dual-Domain Fake Image Detection Against Text-To-Image Generative Models
Ji, E., Dong, B., Samanthula, B. & Zhou, N., 2023, IEEE MIT Undergraduate Research Technology Conference, URTC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE MIT Undergraduate Research Technology Conference, URTC 2023 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Probabilistic Approach for Secure and Verifiable Computation of kNN Queries in Cloud
Sundarapandi, G. P., Bokhary, S., Samanthula, B. K. & Dong, B., 2023, Proceedings - 2023 IEEE Cloud Summit, Cloud Summit 2023. Institute of Electrical and Electronics Engineers Inc., p. 15-20 6 p. (Proceedings - 2023 IEEE Cloud Summit, Cloud Summit 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Temporal Ordinance Mining for Event-Driven Social Media Reaction Analytics
Varde, A. S., De Melo, G. & Dong, B., 30 Apr 2023, ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, Inc, p. 1225-1227 3 p. (ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Testing Computational Assessment of Idea Novelty in Crowdsourcing
Wang, K., Dong, B. & Ma, J., 2023, (Accepted/In press) In: Creativity Research Journal.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Anomalous Event Sequence Detection
Dong, B., Chen, Z., Tang, L. A., Chen, H., Wang, H., Zhang, K., Lin, Y. & Li, Z., 1 May 2021, In: IEEE Intelligent Systems. 36, 3, p. 5-13 9 p., 9272840.Research output: Contribution to journal › Article › peer-review
7 Scopus citations