Research

My current research is focused on software engineering and security for Cyber-Physical Systems (CPS), which are networked systems of cyber (computational and communication) and physical (sensors and actuators) components that interact in a feedback loop with the possibility of human intervention, interaction and utilization. These systems will provide the foundation of our critical infrastructure and have the potential for a profound impact on our daily lives as they form the basis for emerging and future smart services. CPS present new challenges where existing best practices are insufficient, requiring a broad approach with expertise in sensing and hardware, networking, security & privacy, human-computer interaction, and machine learning.

My research is applied and experimental in nature, so I am looking for students capable of designing and implementing machine learning algorithms and building large scale systems.

I have received research funding from the following organizations and I am grateful for their support:

Sample Projects

• ConsentBlock
• SidekickVPN
• Kredenshal
• Sensorian

Publications

• Journal and Conference Papers
  • List of publications and citations on Google Scholar
  • List of publications on the DBLP computer science bibliography
  
  
• Datasets
  • SysCall Dataset: A Dataset for Context Modeling and Anomaly Detection using System Calls. Github page. Related paper: DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes
  • Network Traffic Dataset from reddit.com searches using five browsers (Brave, Tor Browser, Microsoft Edge, Google Chrome, and Mozilla Firefox). Docker containers are available and more details are in the paper Dataset for Web Traffic Security Analysis
  • QWS Dataset
  
  
• Books