Gokila Dorai

Orcid: 0000-0001-5825-7034

According to our database1, Gokila Dorai authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Secure Cross-Chain Provenance for Digital Forensics Collaboration.
CoRR, 2024

From Seaweed to Security: The Emergence of Alginate in Compromising IoT Fingerprint Sensors.
CoRR, 2024

A Calibration Interface for 3D Gaze Depth Disambiguation in Virtual Environments.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

Unraveling IoT Traffic Patterns: Leveraging Principal Component Analysis for Network Anomaly Detection and Optimization.
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024

From Seaweed to Security: Harnessing Alginate to Challenge IoT Fingerprint Authentication.
Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023
ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability.
Proceedings of the 5th IEEE International Conference on Trust, 2023

Exploring the Vulnerabilities of IoT Devices: A Comprehensive Analysis of Mirai and Bashlite Attack Vectors.
Proceedings of the 10th International Conference on Internet of Things: Systems, 2023

Mobile Commerce - Analysis and Investigation of the Online Safety, Privacy, and Data Forensics of Amazon and Etsy Apps.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022
Forensic Analysis of the Snapchat iOS App with Spectacles-Synced Artifacts.
Proceedings of the Advances in Digital Forensics XVIII, 2022

The Need for Biometric Anti-spoofing Policies: The Case of Etsy.
Proceedings of the Digital Forensics and Cyber Crime - 13th EAI International Conference, 2022

Preliminary Analysis of Privacy Implications Observed in Social-Media Posts Across Shopping Platforms.
Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021
Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

DECADE - Deep Learning Based Content-hiding Application Detection System for Android.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
VIDE - Vault App Identification and Extraction System for iOS Devices.
Digit. Investig., 2020

"Is your Smart Home a Secure Home?" - Analysis of Smart Home Breaches and an Approach for Vulnerability Analysis and Device Isolation.
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Analysis of iOS SQLite Schema Evolution for Updating Forensic Data Extraction Tools.
Proceedings of the 8th International Symposium on Digital Forensics and Security, 2020

Data Extraction and Forensic Analysis for Smartphone Paired Wearables and IoT Devices.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
A Targeted Data Extraction System for Mobile Devices.
Proceedings of the Advances in Digital Forensics XV, 2019

2018
I Know What You Did Last Summer: Your Smart Home Internet of Things and Your iPhone Forensically Ratting You Out.
Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018


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