158 citations · 461 across the 37 of their papers we have counts for
8 papers · 1 filter
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models
Balachandar Gowrisankar, Vrizlynn L. L. Thing
With the rising concern on model interpretability, the application of eXplainable AI (XAI) tools on deepfake detection models has been a topic of interest recently. In image classi…
Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection
Ayush Kumar, Vrizlynn L. L. Thing
5G networks are susceptible to cyber attacks due to reasons such as implementation issues and vulnerabilities in 3GPP standard specifications. In this work, we propose lateral move…
A Public Key Infrastructure for 5G Service-Based Architecture
Ayush Kumar, Vrizlynn L. L. Thing
The 3GPP 5G Service-based Architecture (SBA) security specifications leave several details on how to setup an appropriate Public Key Infrastructure (PKI) for 5G SBA, unspecified. I…
Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees
Randolph Loh, Vrizlynn L. L. Thing
Self-Healing Cyber-Physical Systems (SH-CPS) effectively recover from system perceived failures without human intervention. They ensure a level of resilience and tolerance to unfor…
Few-shot Weakly-supervised Cybersecurity Anomaly Detection
Rahul Kale, Vrizlynn L. L. Thing
With increased reliance on Internet based technologies, cyberattacks compromising users' sensitive data are becoming more prevalent. The scale and frequency of these attacks are es…
Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers
Vrizlynn L. L. Thing
The rapid evolvement of deepfake creation technologies is seriously threating media information trustworthiness. The consequences impacting targeted individuals and institutions ca…
Feature Mining for Encrypted Malicious Traffic Detection with Deep Learning and Other Machine Learning Algorithms
Zihao Wang, Vrizlynn L. L. Thing
The popularity of encryption mechanisms poses a great challenge to malicious traffic detection. The reason is traditional detection techniques cannot work without the decryption of…
RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation
Ayush Kumar, Vrizlynn L. L. Thing
Past Advanced Persistent Threat (APT) attacks on Industrial Internet-of-Things (IIoT), such as the 2016 Ukrainian power grid attack and the 2017 Saudi petrochemical plant attack, h…