Research
His research primarily focuses on software security, program analysis, ,machine learning for cybersecurity. He has published two ESI 1% highly cited papers. He enjoys developing novel ,beautiful solutions to software security issues in different architectures, especially native codes without a source.
Selected Publications See Full
Fangtian Zhong, Qin Hu, Yili Jiang, Jiaqi Huang, Jiguo Yu. (2024) Helping Jeremy to Analyze Malware: A Usability-Optimized Malware Analysis, IEEE Transactions on Computers (In Submission), Core Rank A*
Fangtian Zhong, Qin Hu, Xiuzhen Cheng. (2024) Exploring Malware Analysis: An Insider’s Perspective, The ACM Conference on Computer and Communications Security (In Submission), Core Rank A*
Zhuoyun Qian, Fangtian Zhong✉, Qin Hu, Yili Jiang, Jiaqi Huang, Mengfei Ren, Xiuzhen Cheng. (2024) Vulnerability Analysis Across Platform Landscapes, ACM Computing Surveys (In Submission), Core Rank A*
Sabrina Perry, Yili Jiang, Fangtian Zhong, Jiaqi Huang, Sohan Gyawali. (2024) Improving Detection Accuracy of Data Poisoning Attacks, IEEE Cyber Awareness and Research Symposium, Best Paper Award
Jiaqi Huang, Yili Jiang, Zhiguo Zhou, Fangtian Zhong (2024) Semi-supervised Federated Learning for Misbehavior Detection of BSMs in Vehicular Networks, IEEE Conference on Vehicular Technology Core Rank B
Fangtian Zhong, Qin Hu, Yili Jiang, Jiaqi Huang, Cheng Zhang, Dinghao Wu✉. (2024) BBSS: Scalable Malware Analysis Based on Basic Blocks, IEEE Transactions on Information Forensics and Security, Core Rank A
Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu✉. (2023). MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors. IEEE Transactions on Computers, Core Rank A*
Fangtian Zhong, Pengfei Hu✉, Guoming Zhang, Hong Li, Xiuzhen Cheng. (2022). Reinforcement learning based adversarial malware example generation against black-box detectors. Computers & Security, Core Rank B
Jiguo Yu, Suhui Liu✉, Minghui Xu, Hechuan Guo, Fangtian Zhong, Wei Cheng(2022). An Efficient Revocable ,Searchable MA-ABE Scheme with Blockchain assistance for C-IoT. IEEE Internet of Things Journal, JCR 1
Fangtian Zhong, Zekai Chen, Minghui Xu, Guoming Zhang, Dongxiao Yu, Xiuzhen Cheng✉. (2022) Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification. IEEE Transactions on Computers, Core Rank A*
Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng✉. (2021) DCAP: Deep Cross Attentional Product Network for User Response Prediction. Proceedings of the 30th ACM International Conference on Information ,Knowledge Management (CIKM 21), Core Rank A
Yizhen Jia, Fangtian Zhong✉, Arwa Alrawais, Bei Gong, Xiuzhen Cheng. (2020). Flowguard: An intelligent edge defense mechanism against IoT DDoS attacks. IEEE Internet of Things Journal, JCR 1