29 citations · 52 across the 13 of their papers we have counts for
13 papers
MADEA: A Malware Detection Architecture for IoT blending Network Monitoring and Device Attestation
Renascence Tarafder Prapty, Rahmadi Trimananda, Sashidhar Jakkamsetti +2
Internet-of-Things (IoT) devices are vulnerable to malware and require new mitigation techniques due to their limited resources. To that end, previous research has used periodic Re…
VBIT: Towards Enhancing Privacy Control Over IoT Devices
Jad Al Aaraj, Olivia Figueira, Tu Le +3
Internet-of-Things (IoT) devices are increasingly deployed at home, at work, and in other shared and public spaces. IoT devices collect and share data with service providers and th…
Understanding Privacy Norms through Web Forms
Hao Cui, Rahmadi Trimananda, Athina Markopoulou
Web forms are one of the primary ways to collect personal information online, yet they are relatively under-studied. Unlike web tracking, data collection through web forms is expli…
DiffAudit: Auditing Privacy Practices of Online Services for Children and Adolescents
Olivia Figueira, Rahmadi Trimananda, Athina Markopoulou +1
Children's and adolescents' online data privacy are regulated by laws such as the Children's Online Privacy Protection Act (COPPA) and the California Consumer Privacy Act (CCPA). O…
Seqnature: Extracting Network Fingerprints from Packet Sequences
Janus Varmarken, Rahmadi Trimananda, Athina Markopoulou
This paper proposes a general network fingerprinting framework, Seqnature, that uses packet sequences as its basic data unit and that makes it simple to implement any fingerprintin…
BehaVR: User Identification Based on VR Sensor Data
Ismat Jarin, Yu Duan, Rahmadi Trimananda +3
Virtual reality (VR) platforms enable a wide range of applications, however, pose unique privacy risks. In particular, VR devices are equipped with a rich set of sensors that colle…
A CI-based Auditing Framework for Data Collection Practices
Athina Markopoulou, Rahmadi Trimananda, Hao Cui
Apps and devices (mobile devices, web browsers, IoT, VR, voice assistants, etc.) routinely collect user data, and send them to first- and third-party servers through the network. R…
PoliGraph: Automated Privacy Policy Analysis using Knowledge Graphs (Journal Version)
Hao Cui, Rahmadi Trimananda, Scott Jordan +1
Privacy policies disclose how an organization collects and handles personal information. Recent work has made progress in leveraging natural language processing (NLP) to automate p…
Tracking, Profiling, and Ad Targeting in the Alexa Echo Smart Speaker Ecosystem
Umar Iqbal, Pouneh Nikkhah Bahrami, Rahmadi Trimananda +7
Smart speakers collect voice commands, which can be used to infer sensitive information about users. Given the potential for privacy harms, there is a need for greater transparency…
Stateful Dynamic Partial Order Reduction for Model Checking Event-Driven Applications that Do Not Terminate
Rahmadi Trimananda, Weiyu Luo, Brian Demsky +1
Event-driven architectures are broadly used for systems that must respond to events in the real world. Event-driven applications are prone to concurrency bugs that involve subtle e…
OVRseen: Auditing Network Traffic and Privacy Policies in Oculus VR
Rahmadi Trimananda, Hieu Le, Hao Cui +3
Virtual reality (VR) is an emerging technology that enables new applications but also introduces privacy risks. In this paper, we focus on Oculus VR (OVR), the leading platform in…
Securing Smart Home Edge Devices against Compromised Cloud Servers
Rahmadi Trimananda, Ali Younis, Thomas Kwa +2
Smart home IoT systems often rely on cloud-based servers for communication between components. Although there exists a body of work on IoT security, most of it focuses on securing…
PingPong: Packet-Level Signatures for Smart Home Device Events
Rahmadi Trimananda, Janus Varmarken, Athina Markopoulou +1
Smart home devices are vulnerable to passive inference attacks based on network traffic, even in the presence of encryption. In this paper, we present PINGPONG, a tool that can aut…