Data Mining for Ambient Intelligence and Secure Communications

Event Dates

Nov 12, 2025 - Nov 12, 2025

Location

Washington DC

Submission Deadline

Aug 31, 2025

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