Browsing by Advisor "Ganapathy, Vinod"
Now showing items 1-10 of 10
-
Decentralized information flow control for the robot operating system
The Robot Operating System (ROS) is a popular open-source middleware widely used in the robotics community. While ROS provides extensive support for robotic application develop- ment, it lacks certain fundamental security ... -
Design, Implementation, and Analysis of a TLB-based Covert Channel on GPUs
GPUs are now commonly available in most modern computing platforms. They are increasingly being adopted in cloud platforms and data centers due to their immense computing capability. In response to this growth in usage, ... -
An Evaluation of Basic Protection Mechanisms in Financial Apps on Mobile Devices
This thesis concerns the robustness of security checks in financial mobile applications (or simply financial apps). The best practices recommended by OWASP for developing such apps demand that developers include several ... -
Experiences in using Reinforcement Learning for Directed Fuzzing
Directed testing is a technique to analyze user-specified target locations in the program. It reduces the time and effort of developers by excluding irrelevant parts of the program from testing and focusing on reaching ... -
Fair and Efficient Dynamic Memory De-bloating
The virtual memory abstraction simplifies programming and enhances portability but requires the processor to translate virtual addresses to physical addresses which can be expensive. To speed up the virtual-to-physical ... -
A Framework for Privacy-Compliant Delivery Drones
We present Privaros, a framework to enforce privacy policies on drones. Privaros is designed for commercial delivery drones, such as the ones that will likely be used by Amazon Prime Air. Such drones visit a number of host ... -
IEDFuRL: A Black-box Fuzz Tester for IEC61850-based Intelligent Electronic Devices using Reinforcement Learning
Intelligent Electronic Devices (IEDs) are essential components of modern power grids, functioning as microprocessor-based controllers that facilitate communication, monitoring, protection, and control within Supervisory ... -
Model Extraction and Active Learning
Machine learning models are increasingly being offered as a service by big companies such as Google, Microsoft and Amazon. They use Machine Learning as a Service (MLaaS) to expose these machine learning models to the ... -
Privadome: A System for Citizen Privacy in the Delivery Drone Era
E-commerce companies are actively considering the use of delivery drones for customer fulfillment, leading to growing concerns around citizen privacy. Drones are equipped with cameras, and the video feed from these cameras ... -
A Trusted-Hardware Backed Secure Payments Platform for Android
Digital payments using personal electronic devices have been steadily gaining in popularity for the last few years. While digital payments using smartphones are very convenient, they are also more susceptible to security ...