5 citations · 5 across the 4 of their papers we have counts for
6 papers
FIRCE: A Framework for Intrusion Response and Conformal Evaluation
Seth Barrett, Lin Li, Gokila Dorai +1
Machine learning-based intrusion detection systems deployed in real-world environments frequently suffer from model degradation due to concept drift, where changes in traffic patte…
Unveiling Privacy Policy Complexity: An Exploratory Study Using Graph Mining, Machine Learning, and Natural Language Processing
Vijayalakshmi Ramasamy, Seth Barrett, Gokila Dorai +1
Privacy policy documents are often lengthy, complex, and difficult for non-expert users to interpret, leading to a lack of transparency regarding the collection, processing, and sh…
FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection
Bradley Boswell, Seth Barrett, Swarnamugi Rajaganapathy +1
The proliferation of Internet of Things (IoT) devices has expanded the attack surface, necessitating efficient intrusion detection systems (IDSs) for network protection. This paper…
Secure Cross-Chain Provenance for Digital Forensics Collaboration
Asma Jodeiri Akbarfam, Gokila Dorai, Hoda Maleki
In digital forensics and various sectors like medicine and supply chain, blockchains play a crucial role in providing a secure and tamper-resistant system that meticulously records…
From Seaweed to Security: The Emergence of Alginate in Compromising IoT Fingerprint Sensors
Pouria Rad, Gokila Dorai, Mohsen Jozani
The increasing integration of capacitive fingerprint recognition sensors in IoT devices presents new challenges in digital forensics, particularly in the context of advanced finger…
ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability
Asma Jodeiri Akbarfam, Mahdieh Heidaripour, Hoda Maleki +2
Maintaining accurate provenance records is paramount in digital forensics, as they underpin evidence credibility and integrity, addressing essential aspects like accountability and…