Issue Downloads
Data-Driven Parameterized Corner Synthesis for Efficient Validation of Perception Systems for Autonomous Driving
Today's automotive cyber-physical systems for autonomous driving aim to enhance driving safety by replacing the uncertainties posed by human drivers with standard procedures of automated systems. However, the accuracy of in-vehicle perception systems may ...
A Two-Speed Synchronous Traffic Protocol for Intelligent Intersections: From Single-Vehicle to Platoon Crossing
With progress in cooperative and autonomous driving, there is an increasing interest in intelligent intersections to replace conventional traffic lights and, thereby, improve traffic efficiency. To avoid accidents in such safety-critical systems, a ...
Machine Learning-based Intrusion Detection for Smart Grid Computing: A Survey
Machine learning (ML)-based intrusion detection system (IDS) approaches have been significantly applied and advanced the state-of-the-art system security and defense mechanisms. In smart grid computing environments, security threats have been ...
Intrusion Detection Framework for Invasive FPV Drones Using Video Streaming Characteristics
Cheap commercial off-the-shelf (COTS) First-Person View (FPV) drones have become widely available for consumers in recent years. Unfortunately, they also provide low-cost attack opportunities to malicious users. Thus, effective methods to detect the ...
Optimizing Mixed Autonomy Traffic Flow with Decentralized Autonomous Vehicles and Multi-Agent Reinforcement Learning
We study the ability of autonomous vehicles to improve the throughput of a bottleneck using a fully decentralized control scheme in a mixed autonomy setting. We consider the problem of improving the throughput of a scaled model of the San Francisco–...
AcTrak: Controlling a Steerable Surveillance Camera using Reinforcement Learning
- Abdulrahman Fahim,
- Evangelos Papalexakis,
- Srikanth V. Krishnamurthy,
- Amit K. Roy Chowdhury,
- Lance Kaplan,
- Tarek Abdelzaher
Steerable cameras that can be controlled via a network, to retrieve telemetries of interest have become popular. In this paper, we develop a framework called AcTrak, to automate a camera’s motion to appropriately switch between (a) zoom ins on existing ...
Understanding Indicators of Compromise against Cyber-attacks in Industrial Control Systems: A Security Perspective
Numerous sophisticated and nation-state attacks on Industrial Control Systems (ICSs) have increased in recent years, exemplified by Stuxnet and Ukrainian Power Grid. Measures to be taken post-incident are crucial to reduce damage, restore control, and ...