Search Results for author:
Found 9 papers, 3 papers with code
Sensitive Information Tracking in Commodity IoT
Through this effort, we introduce a rigorously grounded framework for evaluating the use of sensitive information in IoT apps---and therein provide developers, markets, and consumers a means of identifying potential threats to security and privacy.
Cryptography and Security Programming Languages
SoK: Cryptojacking Malware
Today, a myriad of blockchain and cryptocurrency systems, applications, and technologies are widely available to companies, end-users, and even malicious actors who want to exploit the computational resources of regular users through \textit{cryptojacking} malware.
Malware Detection
Cryptography and Security
U-PoT: A Honeypot Framework for UPnP-Based IoT Devices
Specifically, we introduce U-PoT: a novel honeypot framework for capturing attacks on IoT devices that use Universal Plug and Play (UPnP) protocol.
Cryptography and Security
Peek-a-Boo: I see your smart home activities, even encrypted!
It is realized utilizing state-of-the-art machine-learning approaches for detecting and identifying particular types of IoT devices, their actions, states, and ongoing user activities in a cascading style by only observing passively the wireless traffic from smart home devices.
Cryptography and Security
A Survey on Sensor-based Threats to Internet-of-Things (IoT) Devices and Applications
Specifically, we present a detailed survey about existing sensor-based threats to IoT devices and countermeasures that are developed specifically to secure the sensors of IoT devices.
Cryptography and Security
Real-time Analysis of Privacy-(un)aware IoT Applications
We designed and built IoTWatcH based on an IoT privacy survey that considers the privacy needs of IoT users.
IoTDots: A Digital Forensics Framework for Smart Environments
In order to test the performance of IoTDots, we tested IoTDots in a realistic smart office environment with a total of 22 devices and sensors.
Cryptography and Security
KRATOS: Multi-User Multi-Device-Aware Access Control System for the Smart Home
Users can specify their desired access control settings using the interaction module which are translated into access control policies in the backend server.
Cryptography and Security
Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems
In this paper, we introduce a new type of adversarial attacks to exploit the ML classifiers used in a SHS.
