View our range of publications from 2020
2020 Publications
- De-mystifying the COVID-19 contact tracing apps
- FedEmail: Performance Measurement of Privacy-friendly Phishing Detection Enabled by Federated Learning
- DeepCapture: Image Spam Detection Using Deep Learning and Data Augmentation
- Evidence Weighted Tree Ensembles for Text Classification
- Achieving High Efficiency in Secure Outsourced Decision Tree Inference
- Privacy-Preserving Collaborative Analytics on Medical Time Series Data
- Detection-in-Depth in Industrial Control Systems Using Unsupervised Learning
- Identification, Tracking and Impact: Understanding the trade secret of catchphrases
- Text and phone calls: user behaviour and dual-channel communication prediction
- PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning
- An Efficient Privacy-preserving IoT System for Face Recognition
- Towards Secure Edge-assisted Image Sharing for Timely Disaster Situation Awareness
- #ArsonEmergency and Australia’s “Black Summer”: Polarisation and misinformation on social media
- Mining Questions Asked about Continuous Software Engineering: A Case Study of Stack Overflow
- HushRelay: A Privacy-Preserving, Efficient, and Scalable Routing Algorithm for Off-Chain Payments
- PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites
- IoT Security Automation Using Machine Learning: Threat Landscape, Challenges and Future Directions
- Security and Forensics in the Internet of Things: Research Advances and Challenges
- A Framework of Military Wireless Body Area Networks Converged with Low Power Wide Area Networks
- Vulnerability Database as a Service for IoT Devices & Networks
- PLAR-PLuggable And Reprogrammable framework to secure IoT deployments
- Towards A Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things
- Threat Detection in the IoT Domain: Challenges and Future Directions
- Architectural resilience in Cloud, Fog and Edge systems: A survey
- Sequence Data Matching and Beyond: New Privacy-preserving Primitives based on Bloom Filters
- Blockchainising Supply Chain Management for Enhanced Security
- An Enhanced Linear Convolution Based Fingerprint Biometric Authentication System
- Securely and Efficiently Outsourcing Decision Tree Inference
- A novel Intrusion Detection System against spoofing attacks in connected Electric Vehicles
- Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?
- Modelling, Analyzing and Predicting Security Cascading Attacks in Smart Buildings Systems-of-Systems
- Biologically Inspired Smart Contract: A Blockchain-Based DDoS Detection System
- End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
- Optimisation of Lightweight Klein Encryption Algorithm With 3 S-box
- Lightweight Security in Internet of Things through Block Cipher: KLEIN-64
- Differential Privacy Mechanisms for Privacy Preserving Data Analysis
- Towards a Self-Improving Hybrid Elasticity Controller for Cloud-Based Software Systems
- Leveraging lightweight blockchain to establish data integrity for surveillance cameras
- Towards IoT Security Automation and Orchestration: Challenges and Future Directions