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Dong Guo 0002
Person information
- affiliation: Jilin Univesity, College of Computer Science and Technology, China
Other persons with the same name
- Dong Guo — disambiguation page
- Dong Guo 0001 — National University of Singapore, School of Computing, Singapore
- Dong Guo 0003 — Columbia University, Department of Electrical Engineering, New York City, NY, USA
- Dong Guo 0004 — Boston University, MA, USA
- Dong Guo 0005
— Liaoning University of Technology, School of Electrical Engineering, Jinzhou, China
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2020 – today
- 2024
- [j21]Huifen Wang, Dong Guo
A method of classifying IoT devices based on attack sensitivity. J. Inf. Secur. Appl. 82: 103751 (2024) - 2022
- [j20]Qi Wu, Qiang Li
Exploring the vulnerability in the inference phase of advanced persistent threats. Int. J. Distributed Sens. Networks 18(3): 155013292210804 (2022) - 2021
- [j19]Longkang Shang, Dong Guo, Yuede Ji
Discovering unknown advanced persistent threat using shared features mined by neural networks. Comput. Networks 189: 107937 (2021) - [j18]Zhengqiang Ge, Xinyu Liu
PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation. Int. J. Distributed Sens. Networks 17(12): 155014772110612 (2021) - [j17]Ming Li, Qiang Li, Guangzhe Xuan
Identifying compromised hosts under APT using DNS request sequences. J. Parallel Distributed Comput. 152: 67-78 (2021) - [i1]Zhengqiang Ge, Zhipeng Zhou, Dong Guo, Qiang Li:
Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing. CoRR abs/2104.04709 (2021) - 2020
- [j16]Zongyuan Xiang, Dong Guo, Qiang Li
Detecting mobile advanced persistent threats based on large-scale DNS logs. Comput. Secur. 96: 101933 (2020) - [j15]Guanghua Yan, Qiang Li
Discovering Suspicious APT Behaviors by Analyzing DNS Activities. Sensors 20(3): 731 (2020)
2010 – 2019
- 2019
- [j14]Xinyang Jiang, Qiang Li
QuickSquad: A new single-machine graph computing framework for detecting fake accounts in large-scale social networks. Peer-to-Peer Netw. Appl. 12(5): 1385-1402 (2019) - [j13]Bo Feng, Qiang Li
Stopping the Cyberattack in the Early Stage: Assessing the Security Risks of Social Network Users. Secur. Commun. Networks 2019: 3053418:1-3053418:14 (2019) - [j12]Guanghua Yan, Qiang Li
AULD: Large Scale Suspicious DNS Activities Detection via Unsupervised Learning in Advanced Persistent Threats. Sensors 19(14): 3180 (2019) - [j11]Zhen Zhang
RVCCC: A new variational network of cube-connected cycles and its topological properties. Theor. Comput. Sci. 767: 34-50 (2019) - 2018
- [j10]Qiang Fu, Bo Feng, Dong Guo, Qiang Li:
Combating the evolving spammers in online social networks. Comput. Secur. 72: 60-73 (2018) - [j9]Bo Feng, Qiang Fu, Mianxiong Dong, Dong Guo, Qiang Li:
Multistage and Elastic Spam Detection in Mobile Social Networks through Deep Learning. IEEE Netw. 32(4): 15-21 (2018) - [j8]Jiahao Zhang, Qiang Li
Towards fast and lightweight spam account detection in mobile social networks through fog computing. Peer-to-Peer Netw. Appl. 11(4): 778-792 (2018) - 2017
- [j7]Yukun He, Qiang Li
Understanding socialbot behavior on end hosts. Int. J. Distributed Sens. Networks 13(2) (2017) - [j6]Bo Feng, Qiang Li
GroupFound: An effective approach to detect suspicious accounts in online social networks. Int. J. Distributed Sens. Networks 13(7) (2017) - [j5]Jian Cao, Qiang Fu, Qiang Li, Dong Guo:
Discovering hidden suspicious accounts in online social networks. Inf. Sci. 394: 123-140 (2017) - 2016
- [j4]Jian Cao, Qiang Li
Detection of Forwarding-Based Malicious URLs in Online Social Networks. Int. J. Parallel Program. 44(1): 163-180 (2016) - [j3]Dong Guo, Jian Cao, Xiaoqi Wang, Qiang Fu, Qiang Li:
Combating QR-Code-Based Compromised Accounts in Mobile Social Networks. Sensors 16(9): 1522 (2016) - 2015
- [j2]Yuede Ji
Overhead Analysis and Evaluation of Approaches to Host-Based Bot Detection. Int. J. Distributed Sens. Networks 11: 524627:1-524627:17 (2015) - [j1]Yuede Ji, Qiang Li
BotCatch: leveraging signature and behavior for bot detection. Secur. Commun. Networks 8(6): 952-969 (2015) - [c14]Jian Cao, Qiang Fu, Qiang Li, Dong Guo:
Leveraging Behavior Diversity to Detect Spammers in Online Social Networks. ICA3PP (3) 2015: 323-336 - 2014
- [c13]Yuede Ji, Yukun He, Dewei Zhu, Qiang Li
A Mulitiprocess Mechanism of Evading Behavior-Based Bot Detection Approaches. ISPEC 2014: 75-89 - 2013
- [c12]Yuede Ji, Yukun He, Qiang Li
BotCatch: A Behavior and Signature Correlated Bot Detection Approach. HPCC/EUC 2013: 1634-1639 - [c11]Yukun He, Qiang Li
BotInfer: A Bot Inference Approach by Correlating Host and Network Information. NPC 2013: 356-367 - 2011
- [c10]Dong Guo, Yong Du, Qiang Li
Design and Realization of the Cloud Data Backup System Based on HDFS. WISM (3) 2011: 396-403
2000 – 2009
- 2009
- [c9]Wei Shi, Qiang Li
Reconstruction of Worm Propagation Path by Causality. NAS 2009: 129-132 - 2008
- [c8]Liang Hu, Dong Guo, Xilong Che:
A Fast Resource Selection Approach for Grid Applications Based on Fuzzy Clustering Technology. HPCC 2008: 1019-1024 - [c7]Yang Xiang, Qiang Li
Online Accumulation: Reconstruction of Worm Propagation Path. NPC 2008: 162-172 - 2007
- [c6]Dong Guo, Liang Hu, Shilan Jin, Bingxin Guo:
Applying Preference-Based Fuzzy Clustering Technology to Improve Grid Resources Selection Performance. FSKD (2) 2007: 214-218 - 2006
- [c5]Liang Hu, Kuo Tang, Kuo Zhao, Dong Guo, Bing Liang:
Extended Resource Information Services Based-on Directory Service Technology. CSCWD 2006: 905-909 - [c4]Meng Zhang, Jijun Tang, Dong Guo, Liang Hu, Qiang Li
Succinct Text Indexes on Large Alphabet. TAMC 2006: 528-537 - 2005
- [c3]Xiu-chuan Wu, Li-jie Sha, Dong Guo, Lan-fang Lou, Liang Hu:
GT-Based Performance Improving for Resource Management of Computational Grid. GCC 2005: 1072-1077 - [c2]Liang Hu, Dong Guo, Gaochao Xu, Xiaohui Wei, Bingxin Guo, Kuo Tang, Shengli Zhao:
A Grid CPU Availability Forecasting Tool for Windows. IASTED PDCS 2005: 25-30 - [c1]Dong Guo, Liang Hu, Meng Zhang, Zhuopeng Zhang:
GcpSensor: a CPU Performance Tool for Grid Environments. QSIC 2005: 273-278
Coauthor Index
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last updated on 2024-12-02 21:28 CET by the dblp team
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