6 papers
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI
Meghali Nandi, Arash Shaghaghi, Nazatul Haque Sultan +3
Federated Learning (FL) has emerged as a powerful paradigm for collaborative model training while keeping client data decentralized and private. However, it is vulnerable to Data R…
SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers
Nimesha Wickramasinghe, Arash Shaghaghi, Gene Tsudik +1
The adoption of modern encryption protocols such as TLS 1.3 has significantly challenged traditional network traffic classification (NTC) methods. As a consequence, researchers are…
Towards Threat Modelling of IoT Context-Sharing Platforms
Mohammad Goudarzi, Arash Shaghaghi, Simon Finn +2
The Internet of Things (IoT) involves complex, interconnected systems and devices that depend on context-sharing platforms for interoperability and information exchange. These plat…
Towards Detecting IoT Event Spoofing Attacks Using Time-Series Classification
Uzma Maroof, Gustavo Batista, Arash Shaghaghi +1
Internet of Things (IoT) devices have grown in popularity since they can directly interact with the real world. Home automation systems automate these interactions. IoT events are…
AuditNet: A Conversational AI-based Security Assistant [DEMO]
Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi +4
In the age of information overload, professionals across various fields face the challenge of navigating vast amounts of documentation and ever-evolving standards. Ensuring complia…
Lack of Systematic Approach to Security of IoT Context Sharing Platforms
Mohammad Goudarzi, Arash Shaghaghi, Simon Finn +1
IoT context-sharing platforms are an essential component of today's interconnected IoT deployments with their security affecting the entire deployment and the critical infrastructu…