政府機關的零信任資安架構與勒索軟體防禦研究。
Zero-trust security architecture and ransomware defence for government.
協助規劃新世代零信任網路安全架構（含雲地整合環境），並研究勒索軟體的縱深防禦策略。
Planning a next-generation zero-trust security architecture, including hybrid cloud and on-premises environments, and defence-in-depth against ransomware.
與資策會、財團法人電信研究中心合作的加密流量、5G 與工控資安研究。
Encrypted-traffic, 5G and industrial-control security research with III and the Telecom Technology Center.
分析 5G 網路的資安威脅，涵蓋獨立組網、邊緣運算與非地面網路，並提出緩解措施。
Security threat analysis for 5G networks, covering standalone deployments, edge computing and non-terrestrial networks, with mitigations.
發展 5G 網路的惡意流量偵測與防禦技術，並於實際場域驗證。
Malicious-traffic detection and defence for 5G networks, validated in a live field environment.
研究在加密通訊下辨識惡意與勒索軟體流量的方法。
Identifying malicious and ransomware traffic hidden in encrypted communications.
研發工業控制系統的異常行為偵測技術。
Anomalous-behaviour detection for industrial control systems.
電信與金融保險業者的流量偵測、加密流量分類、5G 資安與企業 AI 應用。
Traffic detection, encrypted-traffic classification, 5G security and enterprise AI for telecom and insurance clients.
於企業數據中台導入 AI 技術，建置分析模型並提供資料分析服務。
Bringing AI into the company’s central data platform: analytics models plus ongoing data-analysis services.
運用深度學習偵測異常流量，並針對 5G 核心網路的可疑行為與 DDoS 攻擊進行偵測。
Deep-learning detection of anomalous traffic, plus detection of suspicious behaviour and DDoS attacks on the 5G core network.
提升語音辨識在不同場域的穩定度，並建置知識圖譜問答系統。
More robust speech recognition across environments, plus a knowledge-graph question-answering system.
研究在加密與匿名網路環境中辨識流量與應用程式的分類技術。
Classifying traffic and applications inside encrypted and anonymity networks.
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