EUDWFintech & Digital Banking Innovation Conference

Da-Yu Kao

Speaker at International Fintech & Digital Banking Innovation Conference

Associate Professor at Department of Information Management, Central Police University, Taiwan

Associate Professor at Department of Information Management, Central Police University, Taiwan Da-Yu Kao is an Associate Professor at the Department of Information Management, Central Police University, Taiwan. I am responsible for various recruitment efforts and training programs for Taiwan civil servants, police officers, or ICT technicians. I have an extensive background in law enforcement and a keen interest in information security, ICT governance, technology-based investigation, cyber forensics, human resource development, and public sector globalization. I was a detective and forensic police officer at Taiwan’s Criminal Investigation Bureau (under the National Police Administration). With a Master’s degree in Information Management and a Ph.D. degree in Crime Prevention and Correction, I had led several investigations in cooperation with police agencies from other countries for the past 20 years. I am now the director of Computer Crime Investigation Lab at Central Police University and the webmaster of Cybercrime Investigation and Digital Forensics in the Facebook Group. I can be reached at camel@mail.cpu.edu.tw.

He has many achievements in selected journal papers:

  •  Da-Yu Kao, Forensic Exchange Analysis of Contact Artifacts on Data Hiding Timestamps, Appl. Sci. 2020, 10, xxxx. (SCIE, IF: 2.474, 5yrsIF:2.458) (Digital Infrastructure-Information Security Project- 109)(Accepted on July 3, 2020) 
  • Te-Min Liu, Da-Yu Kao, and Yun-Ya Chen, “LooCipher Ransomware Detection Using Lightweight Packet Characteristics,” Procedia Computer Science, Vol. xxx, pp. xxx-xxx, 2020. (EI) (Digital Infrastructure- Information Security Project-109)(Accepted on May 7, 2020) 
  • Shuyuan Mary Ho, Dayu Kao, Ming-Jung Chiu-Huang, Wenyi Li, Chung-Jui Lai, “Detecting Cyberbullying “Hotspots” on Twitter: A Predictive Analytics Approach,” Forensic Science International: Digital Investigation, 32S, April 2020, pp. S1-S3. (ISSN: 2666-2817) (SCIE) (Digital Infrastructure-Information Security Project- 109)(https://doi.org/10.1016/j.fsidi.2020.300906)

To see the whole list, please follow the link.

Session: Financial Crimes and Digital Forensics

The Wild Robbing of Online Bank: Financial Crimes and Digital Forensics

Additional information and International Fintech & Digital Banking Innovation Conference programme – here

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