Best Paper Awards

Congratulations to the recipients of the DSC 2022 Best Paper Awards. These papers were selected as the result of a rigorous process that considered the 41 papers that were accepted from the 111 submissions. The co-chairs of each track reviewed each accepted paper of their track, its reviewer comments, and the recorded video presentation. As a result of the process, a total of 3 papers were selected by the co-chairs for the awards – one paper for the Experience and Practice Track, and two papers for the Main Track. Below, you will find the list of the recipients of the award and the list of the top shortlisted papers.

 

DSC 2022 BEST PAPER AWARDS RECIPIENTS

Experience and Practice Track

How National CSIRTs Operate: Personal Observations and Opinions from MyCERT,” by Sharifah Roziah Mohd Kassim, Solahuddin Shamsuddin, Shujun Li and Budi Arief

Main Track

FREED: An Efficient Privacy-Preserving Solution for Person Re-Identification,” by Bowen Zhao, Yingjiu Li, Ximeng Liu, Hwee Hwa Pang and Robert Deng (Best Paper Award)

Securing Password Authentication for Web-based Applications,” by Teik Guan Tan, Pawel Szalachowski and Jianying Zhou (Best Student Paper Award)

 

DSC 2022 BEST PAPER AWARDS SHORTLISTED CANDIDATES

Experience and Practice Track

Linux Kernel Module Development with Rust,” by Shao-Fu Chen and Yu-Sung Wu

Main Track

A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities,” by Rishi Rabheru, Hazim Hanif and Sergio Maffeis

IoT Botnet Detection Based on the Behaviors of DNS Queries,” by Chun-I Fan, Cheng-Han Shie, Che-Ming Hsu, Tao Ban, Tomohiro Morikawa and Takeshi Takahashi

Protecting White-Box Block Ciphers with Galois/Counter Mode,” by Nanjiang Xie, Zheng Gong, Yufeng Tang, Lei Wang and Yamin Wen (Student Paper)

Curse of System Complexity and Virtue of Operational Invariants: Machine Learning based System Modeling and Attack Detection in CPS,” by Muhammad Omer Shahid, Chuadhry Mujeeb Ahmed, Venkata Reddy Palleti and Jianying Zhou (Student Paper)

Reliability Models and Analysis for Triple-model with Triple-input Machine Learning Systems,” by Qiang Wen and Fumio Machida (Student Paper)