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个人信息Personal Information
副教授 硕士生导师
性别：男
毕业院校：西安电子科技大学
学历：博士研究生毕业
学位：博士研究生毕业
在职信息：在岗
所在单位：网络与信息安全学院
入职时间：2017-02-01
学科：网络空间安全. 密码学
办公地点：南校区-网信大楼 A-0945
联系方式：
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- Yongchao Meng, Peihan Qi, Shilian Zheng, Zihao Cai，Xiaoyu Zhou, Tao Jiang*（姜涛），Adversarial Attack and Reliable Defense Based on Frequency Domain Feature Enhancement for Automatic Modulation Classification，IEEE Transactions on Information Forensics and Security，2025.[J]
- D Ghopur, J Ma, X Ma, F He, K Liu, T Jiang (姜涛), X Wang，Decentralized Multi-Authority Attribute-Based Searchable Encryption for E-Health Cloud，IEEE Internet of Things Journal，2025.[J]
- P Qi, T Jiang (姜涛), J Xu, J He, S Zheng, Z Li，Unsupervised Spectrum Anomaly Detection With Distillation and Memory Enhanced Autoencoders，IEEE Internet of Things Journal，2024
- Dilxat Ghopur, Jianfeng Ma, Xindi Ma, Jialu Hao, Tao Jiang (姜涛), Xiangyu Wang, Puncturable Key-Policy Attribute-Based Encryption Scheme for Efficient User Revocation.[J]:IEEE Transactions on Services Computing,2023:(SCI, CCF A)
- Tao Jiang (姜涛), Wanqing Chen, Hangping Zhou, Jinyang He, Peihan Qi, Towards Semi-supervised Classification of Abnormal Spectrum Signals based on Deep Learning.[J]:Chinese Journal of Electronics,2023:(CCF T1)
- 姜涛，徐航，王良民，马建峰, 支持受损数据定位与恢复的动态群用户可证明存储.[J]:网络与信息安全学报,2022:(CCF T2)
- Dilxat Ghopur, Jianfeng Ma , Xindi Ma, Yinbin Miao , Jialu Hao and Tao Jiang (姜涛), Puncturable Ciphertext-Policy Attribute-Based Encryption Scheme for Efficient and Flexible User Revocation.[J]:SCIENCE CHINA Information Sciences,2022:(CCF T1)
- Peihan Qi, Xiaoyu Zhou, Yuanlei Ding, Shilian Zheng, Tao Jiang (姜涛), Zan Li. Collaborative and Incremental Learning for Modulation Classification with Heterogeneous Local Dataset in Cognitive IoT.[J]:IEEE Transactions on Green Communications and Networking,2022
- Tao Jiang (姜涛), Xu Yuan, Yuan Chen, Ke Cheng, Liangmin Wang, Xiaofeng Chen, Jianfeng Ma. FuzzyDedup: Secure Fuzzy Deduplication for Cloud Storage.[J]:IEEE Transactions on Dependable and Secure Computing,2022:(SCI, CCF A)
- Peihan Qi, Tao Jiang (姜涛), Lizhan Wang, Xu Yuan, and Zan Li. Detection Tolerant Black-Box Adversarial Attack against Automatic Modulation Classification with Deep Learning.[J]:IEEE Transactions on Reliability,2022:1-14 (SCI 二区, Top)