Stan Jiexin Zhang

I am a PhD student in the Department of Computer Science and Technology (previously known as the Computer Laboratory) at the University of Cambridge since Octobor 2017. I work under the supervision of Dr Alastair Beresford in the Digital Technology Group.

I have been conferred a BSc degree in Information Engineering and a MEng degree in Computer Science and Technology.

I am a member of Robinson College and my PhD research is funded by the CSC scholarship.


William Gates Building
15 JJ Thompson Avenue

Social Networks


My research interests include all forms of security and privacy, but I am now particularly focused on issues related to mobile and IoT devices. My previous research focused on the security of large-scale complex social-cyber-physical systems and I have particiapted in several research projects. The title of my Master's thesis is "Research on Security Mechanisms for Smart Grids". I applied agent-based modeling, SDN and game theories into the attack modeling, security assessment, intrusion detection and coordinated protections on smart grids while taking human factors into account.

Privacy and Security Protection For Mobile Devices

Tentative PhD Topic

Smartphones present many new security and privacy challenges. This research work will develop efficient mechanisms and analytical tools to understand, detect and prevent security failures and privacy threats on mobile platforms. The research work aims to address novel threats to both security and privacy by taking advantage of new features provided by smartphone operating systems as well as the underlying hardware and sensor platform.

This research is related to the Device Analyzer and TRVE Data projects.

October 2017 - Now

Cyber-physical Threat Model and Collaborative Defense Mechanisms in Critical Infrastructure Networks

Postgraduate Research and Innovation Project in Hunan Province, China

Cyber-Physical Systems (CPS) are critical infrastructures, the security of which influences the stability and development of many countries worldwide. This project aims to construct interdependency and threat models for CPS networks, and design an effective mechanism to predict attacks and evaluate system security.

2016 - 2017

The Security Model and Mechanism of Massive Cyber-Physical-Social Networks

Project funded by National Science Foundation of China (NSFC)

In large-scale complex networks, attacks can be launched from cyber, physical and social domains. This project studies the cross-domain spreading of threats and aims to implement a multi-domain distributed collaborative intrusion detection system by semantic analysis.

2016 - 2017

The Model and Method of Complex Multi-domain Network Integration

Project funded by National Science Foundation of China (NSFC)

The project aims to discover the interactive relations among each multi-domain networks. This project used complex network theory to depict the structure of multi-domain integrating networks and applied Petri nets to construct a unified multi-domain integrating model.

2015 - 2016


Foundations of Data Science (IB)


Course material:

October 2017 - November 2017

Object Oriented Programming (IA)


Course material:§ionid=1878432

November 2017

Security I (IB)

Supervision for Queens College

Course material (from last year):

April 2018 - May 2018


Modeling Cyber-physical Attacks based on Probabilistic Colored Petri Nets and Mixed-strategy Game Theory
Xiaoxue Liu, Jiexin Zhang, Peidong Zhu. International Journal of Critical Infrastructure Protection (IJCIP) 16 (2017): 13-25.
Multidimensional Trust-based Anomaly Detection System in Internet of Things
Fangyu Gai, Jiexin Zhang, Peidong Zhu, Xinwen Jiang. International Conference on Wireless Algorithms, Systems, and Applications (WASA) Springer, Cham, 2017: 302-313.
Ratee-Based Trust Management System for Internet of Vehicles
Fangyu Gai, Jiexin Zhang, Peidong Zhu, Xinwen Jiang. International Conference on Wireless Algorithms, Systems, and Applications (WASA) Springer, Cham, 2017: 344-355.
Securing Power System State Estimation
Jiexin Zhang, Xiaoxue Liu, Peidong Zhu. Trustcom/BigDataSE/ISPA. IEEE, 2016: 699-706.
Intrusion Detection in SCADA Systems by Traffic Periodicity and Telemetry Analysis
Jiexin Zhang, Shaoduo Gan, Xiaoxue Liu, Peidong Zhu. 2016 IEEE Symposium on Computers and Communication (ISCC). IEEE, 2016: 318-325.
A Novel Optimization Scheme for Caching in Locality-aware P2P Networks
Shaoduo Gan, Jiexin Zhang, Jie Yu, Xiaoling Li, Jun Ma, Lei Luo, Qingbo Wu. 2016 IEEE Symposium on Computers and Communication (ISCC). IEEE, 2016: 1024-1031.

Awards & Certifications

Fully-funded CSC Scholarship
  • Institution: China Scholarship Council (CSC).
  • Description: Awarded to the top 5% of applicants.
  • 2016
    1st Prize in the Code 0x01 Capture The Flag (CTF) Competition
  • Institution: Code 0x01 CTF Organization.
  • Description: Awarded to the team achieving highest score in the competition.
  • A Parking Violation Alarm APP for iOS/Android Platform
  • Computer Software Copyrights
  • Registration Number: 2015SR197952 and 2015SR197954.
  • 2013
    Gold Prize in the International Genetically Engineered Machine (iGEM) Competition of Asia Region (Team Page)
  • Institution: The International Genetically Engineered Machine (iGEM) Foundation.
  • Description: Awarded to the top 30% of participants. Gold prize teams were invited to attend the iGEM 2013 world championship at MIT.
  • 2012
    Silver Prize in the 2012 China Undergraduate Mathematical Contest in Modeling
  • Institution: Ministry of Education of the People‚Äôs Republic of China.
  • Description: Awarded to the top 5% of participants.
  • Gold Prize in the Beijing Robot Contest for College Students
  • Institution: Beijing Municipal Education Commission.
  • Description: Awarded to the top 15% of participants.
  • Gold Prize in the 'Electrician Cup' Mathematical Modeling Competition
  • Institution: Chinese Society for Electrical Engineering (CSEE).
  • Description: Awarded to the top 5% of participants.
  • 2011
    Outstanding Students in Beijing Institute of Technology
  • Institution: Beijing Institute of Technology (BIT).
  • Description: Awarded to the top 3% of participants.