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 the 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: 31 August 2025
Notification of Acceptance: 15 September 2025
Camera-Ready Version & Copyright Deadline: 25 September 2025
Workshop Date: 12 November 2025

Manuscripts must be submitted electronically through the online submission system: https://www.wi-lab.com/cyberchair/2025/icdm25/scripts/submit.php?subarea=DM

At least one author of each accepted paper must register with a FULL registration to ensure inclusion in the proceedings. A full registration is defined as either a “member” registration or a “non-member” registration. Please note that student registrations do not qualify as full registrations. All registrations must be completed by the Conference Registration deadline.

For any registration-related queries, please contact: icdm2025chairs@gmail.com