The Enhanced Hybrid MobileNet. - Hong-Yen Chen; Chung-Yen Su (CoRR, 2017)

An Enhanced Hybrid MobileNet. - Hong-Yen Chen; Chung-Yen Su (iCAST, 2018)

Impact of Code Deobfuscation and Feature Interaction in Android Malware Detection. - Yun-Chung Chen; Hong-Yen Chen; Takeshi Takahashi 001; Bo Sun; Tsung-Nan Lin (IEEE Access, 2021)

The Challenge of Only One Flow Problem for Traffic Classification in Identity Obfuscation Environments. - Hong-Yen Chen; Tsung-Nan Lin (IEEE Access, 2021)

A P4-based content-aware approach to mitigate slow HTTP POST attacks. - Chih-Yu Hsieh; Hong-Yen Chen; Shan-Hsiang Shen; Chen-Hsiang Hung; Tsung-Nan Lin (EuroP4@CoNEXT, 2022)

SenseInput: An Image-Based Sensitive Input Detection Scheme for Phishing Website Detection. - Shih-Chun Lin; Pang-Cheng Wl; Hong-Yen Chen; Tomohiro Morikawa; Takeshi Takahashi 001; Tsung-Nan Lin (ICC, 2022)

A Predictive Classification Model for Identifying Conversation-related Mobile Forensic Data in Instant Messaging Applications. - Wei-Che Lee; Hong-Yen Chen; Tsung-Nan Lin (ISDFS, 2023)

Zero Trust Architecture of Token Network. - Po-Han Ho; Hong-Yen Chen; Tsung-Nan Lin (MetaCom, 2023)

ARCH: Automatic Roaming-contract Handler for Seamless 6G System to Provide Trusted and Highly Available Network Access. - Kíng-Pîng Tenn; Po-Han Ho; Hong-Yen Chen; Tsung-Nan Lin (MobiCom, 2023)

RAIN: Risk Assessment Framework Based on an Interdependent-Input Propagation Network for a 5G Network. - Che-Tsung Kuo; Hong-Yen Chen; Tsung-Nan Lin (IEEE Access, 2023)

FINISH: Efficient and Scalable NMF-Based Federated Learning for Detecting Malware Activities. - Yu-Wei Chang 005; Hong-Yen Chen; Chansu Han; Tomohiro Morikawa; Takeshi Takahashi 001; Tsung-Nan Lin (IEEE Trans. Emerg. Top. Comput., 2023)

6G Security: The Vulnerability of Roaming Technology via DoS Exploit of Signaling Control Plane. - Chia-Hao Chang; Rui-Lin Chang; Hong-Yen Chen; Tsung-Nan Lin (ICC Workshops, 2024)

Toward Trustworthy Artificial Intelligence: An Integrated Framework Approach Mitigating Threats. - Kíng-Pîng Tenn; Yu-Wei Chang 005; Hong-Yen Chen; Teng-Kai Fan; Tsungnan Lin (Computer, 2024)