Degang Sun

dblp:07/6827 · DBLP profile ↗
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7ranked-venue papers in the field
1as first author
5since 2021 · last 2026
—ORCID · conflict

Domains — venue-derived; a paper can count in several

Data Mining & Knowledge Discovery · 3Knowledge Engineering, Semantic Web & Information Systems · 3 (1 first)Information Retrieval & Web Search · 1
YearPublicationVenuePosition
2026 AEGIS: A Multi-agent Collaborative Framework with Adversarial Self-Play for Encrypted Malware Traffic Detection
Degang Sun, Guanyao Du, Chun Long
KSEM (4)2
2026 Heterogeneous data-driven resolution generation for software systems via large language models
Degang Sun, Haitian Yang, Weiqing Huang
Inf. Process. Manag.2
2024 DSGN: Log-based anomaly diagnosis with dynamic semantic gate networks
Haitian Yang, Degang Sun, Yan Wang 0081, Weiqing Huang
Inf. Sci.2
2022 Rethinking the Misalignment Problem in Dense Object Detection
Yang Yang 0087, Bo Meng 0006, Zihao Huang 0007, Junxing Ren, Degang Sun
ECML/PKDD (3)6
2022 BertHANK: hierarchical attention networks with enhanced knowledge and pre-trained model for answer selection
Haitian Yang, Xuan Zhao 0011, Yan Wang 0081, Degang Sun, Weiqing Huang
Knowl. Inf. Syst.4
2017 A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds
Degang Sun, Zhixin Shi
KSEM1
2014 A novel method for computer video leaking signal detection
abstract
Video leaking signal detection is an important part of TEMPEST, which is the technologies research focus on the investigations and studies of compromising emanations. A novel video leaking signal detection algorithm based on spectral centroid has been developed. Using the property that spectral centroid can accurately identify the signal energy center in frequency domain, the proposed algorithm can detect the display video leaking signal automatically. The uniformity degree of spectral centroid spacing distribution is defined to distinguish the video leaking signal and clutter signal automatically. Furthermore, the ant-jamming and ant-noise performance of the developed algorithm is analyzed in a practical attack scenario.
Wei-qing Huang, Dong Wei 0002, Degang Sun
ASONAM4