Assistant Professor Department of Software and Information Systems College of Computing and Informatics University of North Carolina at Charlotte Contact Room 333C, Woodward hall, 8812 Craver Rd, Charlotte, NC 28223 chenglong.fu@uncc.edu [Resume] [Google Scholar]

About Me

        

I am an Assistant Professor in the Department of Software and Information Systems at the University of North Carolina at Charlotte. I obtained my Ph.D. degree from the Department of Computer and Information Sciences at Temple University from 2016 to 2022, under the supervision of Prof. Xiaojiang Du. Prior to that, I obtained my bachelor's degree in Information Security from the University of Science and Technology of China (USTC) from 2011 to 2015. My research interests are in the area of security of Internet of Things and Artificial Intelligence (AI) /Machine Learning (ML).

Research Interests

        

My research interests mainly span the security and privacy of Internet of Things and Artificial Intelligence. I am currently committed to carrying out research on securing Smart Home Systems (SHS) and Industrial Control Systems (ICS), which involve anomaly detection and vulnerability discovery.

• Anomaly Detection aims to extract the invariant patterns of IoT systems' normal behaviors from semantic information and training datasets. IoT systems' abnormal behaviors are detected as violations or deviations of the learned patterns.
  

• IoT Vulnerability Discovery utilizes software testing tools such as formal verification and fuzzing to localize desinging and implementation flaws that cause security policy violations. Knowledge that is specific to the IoT domain helps to automate and optimize the procedure of vulnerability discovery.
  

• Adversarial Example Detection focuses on identifying malicious input samples of deep neural networks that are specially crafted with human-imperceptible perturbations. By exploiting adversarial examples' limitations on transferability and robustness, their attack attempts can be either detected or defeated.
  

News!!!

• 2022.08: I joined the Department of Software and Information Systems in University of North Carolina at Charlotte as a Tenure-tracked Assistant Professor.
  

• 2022.07: Our paper "Effective Anomaly Detection in Smart Home by Integrating Event Time Interval" got accepted by the 13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN).
  

• 2022.06: I received the DSN student travel grant!
  

• 2022.05: I obtained my PhD in Computer and Information Sciences from Temple University
  

• 2022.05: Our disclosure of smart home IoT delay attack got acknolwdged by Google's Vulnerability Reward Program (VRP) with $500 award.
  

• 2022.03: Our paper "IoT Phantom-Delay Attacks: Demystifying and Exploiting IoT Timeout Behaviors" got accepted by 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).
  

• 2021.11: Our paper "Delay Wreaks Havoc on Your Smart Home: Delay-based Automation Interference Attacks" got accepted by the 43rd IEEE Symposium on Security and Privacy (S&P)
  

Education

• 2016.08-2022.05: Ph.D. in Computer and Information Sciences, Temple University, Philadelphia PA

• 2011.08-2015.06: BEng in Information Security, University of Science and Technology of China, Hefei China

Selected Awards

• Google Vulnerability Reward Program Hall of Fame Award, Google
  

• 2021 Summer Research Grant, Temple University
  

• 2021 Scott Hibbs Future of Computing Award, Temple University
  

Selected Publications

• Demystifying and Exploiting IoT Timeout Behaviors in Smart Homes
  Chenglong Fu, Qiang Zeng, Xiaojiang Du, Siva Likitha Valluru.
  IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2022 (Acceptance Rate: 18.7%)
  

• Delay Wreaks Havoc on Your Smart Home
  Haotian Chi, Chenglong Fu (Co-first author), Qiang Zeng, Xiaojiang Du.
  IEEE Symposium on Security and Privacy (IEEE S&P), 2022. (Acceptance Rate: 15.2%)
  

• SniffMislead: Non-Intrusive Privacy Protection Against Wireless Packet Sniffers in Smart Homes
  Xuanyu Liu, Qiang Zeng, Xiaojiang Du, Siva Likitha Valluru, Chenglong Fu, Xiao Fu, Bin Luo.
  International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2021. (Acceptance Rate: 18.8%)
  

• HAWatcher: Semantics-Aware Anomaly Detection for Appified Smart Homes
  Chenglong Fu, Qiang Zeng, Xiaojiang Du.
  USENIX Security Symposium (USENIX Security), 2021. (Acceptance Rate: 18.8%)
  

• POKs-based Secure and Energy-efficient Access Control for Implantable Medical Devices
  Chenglong Fu, Xiaojiang Du, Longfei Wu, Qiang Zeng, Amr Mohamed, and Mohsen Guizani
  International Conference on Security and Privacy in Communication Systems (SecureComm), 2019. (Acceptance Rate: 25.5%)
  

• A multiversion programming inspired approach to detecting audio adversarial examples
  Qiang Zeng, Jianhai Su, Chenglong Fu, Golam Kayas, Lannan Luo, Xiaojiang Du, Chiu C. Tan, and Jie Wu
  IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2022 (Acceptance Rate: 21.1%)
  

Teaching

• 2017.08-2020.12: Lab Instructor, CIS 3207: Operating System, Department of Computer and Information Sciences, Temple University

• 2023.01-2023.05: Instructor, ITSC 3146: Operating System and Networks , College of Computing and Informatics, UNC Charlotte

• 2023.01-2023.05: Instructor, ITIS 4221/5221: Secure Programming and Penetration Testing, College of Computing and Informatics, UNC Charlotte

Selected Activities

Talks & Presentations

• 2022.02: Seminar Talk, "Effective Security Schemes for Smart Home Internet of Things" , UNC Charlotte

• 2022.10: Center of Academic Excellence Forum Talk, "Demystifying and Exploiting IoT Timeout Behaviors in Smart Home" , Virtual

Visiting, Internship & Exchange

• 2017.05-2017.07: Visiting Scholar, Department of Computer Science and Engineering Qatar University

Professional Services

• IEEE/ACM International Symposium on Quality of Service 2023, Publicity Chair

• IEEE International Conference on Intelligence and Security Informatics 2023, Finance Chair

• IEEE Transactions on Information Forensics and Security, Reviewer

• IEEE International Conference on Computer Communications 2021-2023, Reviewer