Data Mining for Ambient Intelligence and Secure Communications

A workshop organised in conjunction with IEEE ICDM 2025, 12-15 November 2025, Washington DC, USA

In the era of pervasive computing, ambient intelligence (AmI) aims to create environments that are responsive, adaptive, and sensitive to human presence and behaviour. Leveraging advanced data mining techniques, AmI systems can extract meaningful patterns from vast and heterogeneous sensor data to support real-time decision-making and personalised services. However, the ubiquitous and interconnected nature of these systems also introduces significant communication and security challenges. This workshop explores how data mining can be strategically applied not only to enhance contextual awareness and system intelligence but also to ensure secure, trustworthy, and privacy-preserving communications in ambient environments. Topics of interest include anomaly detection, behavioural pattern mining, encrypted data analytics, intrusion detection, and trust-based models, fostering a multidisciplinary dialogue between experts in data science, cybersecurity, and intelligent systems.

We invite original research papers describing novel contributions in the following (but not limited to) areas:

Ambient Intelligence (AmI) Systems
- Context-aware data mining
- Behavioural modelling and human activity recognition
- Personalisation in intelligent environments
Secure Communications in Smart Environments
- Privacy-preserving data mining and machine learning
- Secure and resilient communication protocols
- Cryptographic techniques for sensor and IoT networks
Data Mining and Knowledge Discovery
- Pattern recognition in ambient data streams
- Anomaly and intrusion detection in pervasive systems
- Spatio-temporal data analysis in smart environments
Trust, Identity, and Access Control
- Trust computation and reputation systems
- User identity management in ambient intelligence
- Access control models based on mined behaviour
Federated and Distributed Learning for Ambient Systems
- Privacy-aware federated learning
- Secure aggregation in distributed AI models
Explainable and Ethical AI
- Interpretable models in context-aware systems
- Ethical implications of ambient data usage
IoT and Sensor Data Analytics
- Lightweight mining algorithms for resource-constrained devices
- Fusion and cleaning of heterogeneous sensor data
Smart Homes and Cities
- Energy and traffic management
- Ambient-assisted living (AAL) for elderly and vulnerable populations
Healthcare and Wellbeing Monitoring
- Continuous health tracking and abnormality detection
- Mental health inference from ambient cues
Cybersecurity in AmI Environments
- Detection of adversarial behaviour and malicious intent
- Insider threat detection in smart infrastructures
Physical-Layer Aware Data Mining for Secure and Context-Rich Communication
- Signal-level anomaly detection and classification
- Data-driven modulation pattern analysis in ambient environments
- Mining physical-layer features (e.g., RSSI, CSI) for identity verification and intrusion detection
- Context-aware channel behaviour modelling for secure ambient communication

Important Dates

Paper Submission Deadline: 17 Aug 2025. Extended to 31 Aug 2025
Notification of Acceptance: 15 September 2025
Workshop Date: 12 November 2025 (Tentative)