IEEE CPS-SEC 2017 Program
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Wednesday, October 11, 2017
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| 9:00 - 10:30 | Session 1 |
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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); |
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| 10:30 - 11:00 | Coffee Break |
| 11:00 - 12:30 | Session 2 |
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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) |
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| 12:30 - 14:00 | Lunch |