Xinbo Ban (班新博)

Associate Researcher

Research & Development Centre
The Second Research Institute of Civil Aviation Administration of China

I received PhD degree from Swinburne University of Technology and Data61, CSIRO in 2023, under the supervision of Prof. Jun Zhang, Dr. Ming Ding, Prof. Yang Xiang, Dr Chao Chen, and Dr. Shigang Liu. I am working on the analysis of privacy and security for software and systems, specifically on emerging computing platforms and cyber-physical environments in which they operate. Through system simulation and program analysis, I seek to improve privacy and security guarantees in the IoT ecosystem. My research interests mainly include: Software Vulnerability Analysis, IoT Security, CPS Simulation.

I am currently with the Second Research Institute of Civil Aviation Administration of China, Chengdu, China. My research includes software vulnerability discovery, IoT security, and privacy in realm of civil aviation cyberspace. In particular, I am working with a team researching and developing solutions to reduce cybersecurity risks and mitigate cyber threats to information systems in civil aviation. I welcome collaboration in the field of cybersecurity and its relevance to civil aviation, including opportunities for academic research, collaborative projects, internships, and so on. Please feel free to get in touch with me.

Education History:

PhD: Swinburne University of Technology, Australia and Data61 CSIRO, Australia
Bachelor of Computer Science (Honours): Swinburne University of Technology, Australia
Bachelor of Information Technology: Deakin University, Australia
Bachelor of Software Engineering: Southwest University, China

Recent Publications

[PDF] [Source code] IoTFuzz: Automated Discovery of Violations in Smart Homes with Real Environment
Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen & Jun Zhang
IEEE Internet of Things Journal (IoTJ), 2024

[PDF] A Performance Evaluation of Deep-learnt Features for Software Vulnerability Detection
Xinbo Ban, Shigang Liu, Chao Chen & Caslon Chua
Concurrency and Computation: Practice and Experience (CCPE), 2019

[PDF] Deep-learnt Features for Twitter Spam Detection
Xinbo Ban, Chao Chen, Shigang Liu, Yu Wang & Jun Zhang
International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec), 2018

A Survey on IoT Vulnerability Discovery
Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen & Jun Zhang
International Conference on Network and System Security (NSS), 2022

[PDF] [Video] TAESim: A Testbed for IoT Security Analysis of Trigger-Action Environment
Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang & Yang Xiang
European Symposium on Research in Computer Security (ESORICS), 2022

Automatic Topic Generation of Smart Homes for Security, Safety, and Privacy Analysis
Xinbo Ban, Ming Ding, Shigang Liu, Chao Chen, Jun Zhang & Yang Xiang
IEEE IoT Journal (IoT Journal), under review

An Intrusion Detection System Using Vision Transformer for Representation Learning
Xinbo Ban, Ao Liu, Long He & Li Gong
The Sixth International Conference on Frontiers in Cyber Security (FCS), 2023

[PDF] Chameleon DNN Watermarking: Dynamically Public Model Ownership Verification
Wei Li, Xiaoyu Zhang, Shen Lin, Xinbo Ban & Xiaofeng Chen
The 23th World Conference on Information Security Applications (WISA), 2022

Full list of Publications

Education

Ph.D., Swinburne University of Technology, Australia

Computer Science, May 2019 - March 2023

Honours, Swinburne University of Technology, Australia

Computer Science, March 2018 - Feb 2019

Bachelor, Deakin University, Australia

Information Technology, Feb 2017 - Jan 2018

Bachelor, Southwest University, China

Software Engineering, Sep 2014 - June 2018

Working History

Associate Researcher, March 2023 - present

Second Research Institute of Civil Aviation Administration of China (CAACSRI, 民航二所)

I am affilited with Research & Development Centre, focusing on develop and research the contermeasures for cybersecurity threats in civil aviation. CAACSRI is the exclusive official technological research inistitute of Civil Aviation Administration of China. It estalblished a cybersecurity team for defending the cyberspace of civil aviation. Being a part of the cybersecurity team, I have been working on the construction of a cybersecurity research centre and cybersecurity research with teammates. Besides, I also participate the work of air traffic control, search & rescure, and so on.

Teaching Experience

Sessional Lecturer / Tutor / Instructor

COS30015-IT Security at Swinburne University of Technology

SIT203-Web Programming at Deakin University

SIT103-Data and Information Management at Deakin University

SIT763-Cyber Security Management at Deakin University

Supervision

Supervising some undergraduate students about their research on cybersecurity attacks including malware, vulnerabilities, device hardening, and spam detection.

Supervising an undergraduate student about reverse engineering.

Research Project

民航安全能力建设项目 – SMS

The project will investigate concepts, techniques, and technologies relating to the application of deep learning algorithms to the discovery of software vulnerabilities. An initial focus will be on the generation of suitable datasets of known vulnerabilities for training and testing of the techniques under study. Two online demo systems of software vulnerability detection have been created and recognized by the senior researchers to show the project output.
The online tool is available from http://47.91.57.92

民航安全能力建设项目 – ADS-B

The project will investigate concepts, techniques, and technologies relating to the application of deep learning algorithms to the discovery of software vulnerabilities. An initial focus will be on the generation of suitable datasets of known vulnerabilities for training and testing of the techniques under study. Two online demo systems of software vulnerability detection have been created and recognized by the senior researchers to show the project output.
The online tool is available from http://47.91.57.92

DSTG/Data 61 NGTF project – Deep Learning for Cyber

The project will investigate concepts, techniques, and technologies relating to the application of deep learning algorithms to the discovery of software vulnerabilities. An initial focus will be on the generation of suitable datasets of known vulnerabilities for training and testing of the techniques under study. Two online demo systems of software vulnerability detection have been created and recognized by the senior researchers to show the project output.
The online tool is available from http://47.91.57.92

Covid-19 Clinical Assistant

The project was designed to complete the determining of many suspected cases and early diagnosis of critically ill patients in a short period. The model was trained by a customized dynamic sampling migration learning network to obtain a prediction model of covid-19 based on 23 clinical features, including fever, cough, fatigue, WBC, and other pre-existing symptoms, which finally provided customized clinical support decisions for rapid diagnosis of covid-19 patients.
The online tool is available from http://47.114.103.120

Honours Project Description – Online Vulnerability Detection Tool

Online vulnerability discovery system is an online tool to help programmers identify code vulnerability which is hard to be detected by naked eyes. The website provides the upload function for a C/C++ file. System calls a few local static code analysing tools to scan the received file and send results back to the user. The system can be used with any device of any operating system.

Data61 Project – Data61 Summer Vacation Scholarship

The project aims to assist novice programmers in understanding the code that they have created by providing a visual representation of their code and explanations to potential errors that may exist. The project involves researching and implementing machine learning and visualization techniques to analyses the JavaScript program for logical structure and logical and/or semantic errors.

Selected Honours

CSIRO Top-up PhD Scholarship, Australia, 2019-2023

Academic Excellence Scholarship, SWU, China. 2016

Academic Excellence Scholarship, SWU, China. 2015