| Practical Protection of Kernel Integrity for Commodity OS from Untrusted Extensions. X Xiong, D Tian, P Liu NDSS 11, 2011 | 113 | 2011 |
| Kruiser: Semi-synchronized Non-blocking Concurrent Kernel Heap Buffer Overflow Monitoring. D Tian, Q Zeng, D Wu, P Liu, C Hu NDSS, 2012 | 30 | 2012 |
| MDCHD: A novel malware detection method in cloud using hardware trace and deep learning D Tian, Q Ying, X Jia, R Ma, C Hu, W Liu Computer Networks 198, 108394, 2021 | 29 | 2021 |
| A kernel rootkit detection approach based on virtualization and machine learning D Tian, R Ma, X Jia, C Hu IEEE Access 7, 91657-91666, 2019 | 24 | 2019 |
| Hierarchical distributed alert correlation model D Tian, H Changzhen, Y Qi, W Jianqiao 2009 Fifth International Conference on Information Assurance and Security 2 …, 2009 | 24 | 2009 |
| BinDeep: A deep learning approach to binary code similarity detection D Tian, X Jia, R Ma, S Liu, W Liu, C Hu Expert Systems with Applications 168, 114348, 2021 | 23 | 2021 |
| E-WBM: An effort-based vulnerability discovery model X Wang, R Ma, B Li, D Tian, X Wang IEEE Access 7, 44276-44292, 2019 | 15 | 2019 |
| MSYM: A multichannel communication system for android devices W Wang, D Tian, W Meng, X Jia, R Zhao, R Ma Computer Networks 168, 107024, 2020 | 13 | 2020 |
| Defeating buffer overflow attacks via virtualization D Tian, X Xiong, C Hu, P Liu Computers & Electrical Engineering 40 (6), 1940-1950, 2014 | 12 | 2014 |
| Semantic aware attribution analysis of remote exploits D Kong, D Tian, Q Pan, P Liu, D Wu Security and Communication Networks, 2012 | 12 | 2012 |
| An Online Approach for Kernel-level Keylogger Detection and Defense. D Tian, X Jia, J Chen, C Hu J. Inf. Sci. Eng. 33 (2), 445-461, 2017 | 10 | 2017 |
| MDCD: A malware detection approach in cloud using deep learning D Tian, R Zhao, R Ma, X Jia, Q Shen, C Hu, W Liu Transactions on Emerging Telecommunications Technologies 33 (11), e4584, 2022 | 9 | 2022 |
| Findevasion: an effective environment-sensitive malware detection system for the cloud X Jia, G Zhou, Q Huang, W Zhang, D Tian Digital Forensics and Cyber Crime: 9th International Conference, ICDF2C 2017 …, 2018 | 8 | 2018 |
| SA3: Automatic Semantic Aware Attribution Analysis of Remote Exploits D Kong, D Tian, P Liu, D Wu Security and Privacy in Communication Networks: 7th International ICST …, 2012 | 8 | 2012 |
| Towards time evolved malware identification using two-head neural network C Yuan, J Cai, D Tian, R Ma, X Jia, W Liu Journal of Information Security and Applications 65, 103098, 2022 | 7 | 2022 |
| Policy-centric protection of OS kernel from vulnerable loadable kernel modules D Tian, X Xiong, C Hu, P Liu International Conference on Information Security Practice and Experience …, 2011 | 7 | 2011 |
| Cjspector: A novel cryptojacking detection method using hardware trace and deep learning Q Ying, Y Yu, D Tian, X Jia, R Ma, C Hu Journal of Grid Computing 20 (3), 31, 2022 | 6 | 2022 |
| A policy‐centric approach to protecting OS kernel from vulnerable LKMs D Tian, X Xiong, C Hu, P Liu Software: Practice and Experience 48 (6), 1269-1284, 2018 | 6 | 2018 |
| CMFuzz: context-aware adaptive mutation for fuzzers X Wang, C Hu, R Ma, D Tian, J He Empirical Software Engineering 26, 1-34, 2021 | 5 | 2021 |
| Shfuzz: A hybrid fuzzing method assisted by static analysis for binary programs W Wang, D Tian, R Ma, H Wei, Q Ying, X Jia, L Zuo China Communications 18 (8), 1-16, 2021 | 3 | 2021 |
Peng LiuRaymond G. Tronzo, M.D. Professor of Cybersecurity, Penn State UniversityVerified email at ist.psu.edu
