IEEE CPS-SEC 2017 Program

 Wednesday, October 11, 2017
 9:00 - 10:30  Session 1

 1. Deep Learning-Based Data Forgery Detection in Automatic Generation Control
Fengli Zhang (University of Arkansas, USA); Qinghua Li (University of Arkansas, USA)
 2. Securing Balise-based Train Control Systems using Cryptographic Random Fountains
J Harshan (Indian Institute of Technology Delhi, India); Sang-Yoon Chang (University of Colorado  Colorado Springs, USA); Seungmin Kang (Advanced Digital Sciences Center, Singapore);
Yih-Chun Hu (University of Illinois at Urbana-Champaign, USA)
 3. Efficient Detection of False Data Injection Attacks on AC State Estimation in Smart Grids
James Ranjith Kumar (National University of Singapore, Singapore); Biplab Sikdar (National University of Singapore, Singapore)
 4. Secure and Practical Output Feedback Control for Cloud-Enabled Cyber-Physical Systems
Zhiheng Xu (New York University, USA); Quanyan Zhu (New York University, USA);
 10:30 - 11:00  Coffee Break
 11:00 - 12:30  Session 2

 1. An Efficient MQTT Framework for Control and Protection of Networked Cyber-Physical Systems
Utku Ozgur, Harikrishnan Nair, Aditya Sundararajan, Kemal Akkaya and Arif Sarwat (Florida International University, USA)
 2. A Game Theoretic Approach to Analyze False Data Injection and Detection in LQG System
Ruochi Zhang and Parvathinathan Venkitasubramaniam (Lehigh University, USA)
 3. Managing Cybersecurity Break-ins Using Bluetooth Low Energy Devices to Verify Attackers: A Practical Study
Ken Wong and Aaron Hunter (BCIT, Canada)
 12:30 - 14:00  Lunch