Ubiquitous Mobile Awareness from Sensor Networks. - Theo Kanter; Stefan Pettersson; Stefan Forsström; Victor Kardeby; Patrik Österberg (MOBILWARE Workshops, 2009)

Dissemination of Anonymised Context Information by Extending the DCXP Framework. - Stefan Forsström; Victor Kardeby; Jamie Walters; Roger Norling; Theo Kanter (MONAMI, 2009)

Location-Based Ubiquitous Context Exchange in Mobile Environments. - Stefan Forsström; Victor Kardeby; Jamie Walters; Theo Kanter (MONAMI, 2010)

Scenarios, Research Issues, and Architecture for Ubiquitous Sensing. - Theo Kanter; Victor Kardeby; Stefan Forsström; Jamie Walters (MONAMI, 2010)

Home care with NFC sensors and a smart phone. - Johan Sidén; Vincent Skerved; Jinlan Gao; Stefan Forsström; Hans-Erik Nilsson; Theo Kanter; Mikael Gulliksson (ISABEL, 2011)

Enabling Continuously Evolving Context Information in Mobile Environments by Utilizing Ubiquitous Sensors. - Stefan Forsström; Theo Kanter (MONAMI, 2011)

Real-Time Distributed Sensor-Assisted mHealth Applications on the Internet-of-Things. - Stefan Forsström; Theo Kanter; Olle Johansson (TrustCom, 2012)

Ubiquitous Secure Interactions with Intelligent Artifacts on the Internet-of-Things. - Stefan Forsström; Theo Kanter; Patrik Österberg (TrustCom, 2012)

Evaluating Ubiquitous Sensor Information Sharing on the Internet-of-Things. - Stefan Forsström; Patrik Österberg; Theo Kanter (TrustCom, 2012)

Estimating Contextual Situations Using Indicators from Smartphone Sensor Values. - Stefan Forsström; Victor Kardeby (iThings/GreenCom/CPSCom, 2014)

Continuously Changing Information on a Global Scale and its Impact for the Internet-of-Things. - Stefan Forsström; Theo Kanter (Mob. Networks Appl., 2014)

Enabling ubiquitous sensor-assisted applications on the internet-of-things. - Stefan Forsström; Theo Kanter (Pers. Ubiquitous Comput., 2014)

A performance and cost evaluation of combining OPC-UA and Microsoft Azure IoT Hub into an industrial Internet-of-Things system. - Stefan Forsström; Ulf Jennehag (GIoTS, 2017)

Feasibility and performance evaluation of SCTP for the industrial internet of things. - Thomas Wiss; Stefan Forsström (IECON, 2017)

Evaluating Combinations of Classification Algorithms and Paragraph Vectors for News Article Classification. - Johannes Lindén; Stefan Forsström; Tingting Zhang (FedCSIS, 2018)

Surveying and Identifying the Communication Platforms of the Internet of Things. - Stefan Forsström; Ulf Jennehag; Patrik Österberg; Victor Kardeby; Jonas Lindqvist (GIoTS, 2018)

Survey of Proximity Based Authentication Mechanisms for the Industrial Internet of Things. - Umair Mujtaba Qureshi; Gerhard Petrus Hancke; Teklay Gebremichael; Ulf Jennehag; Stefan Forsström; Mikael Gidlund (IECON, 2018)

Challenges of Securing the Industrial Internet of Things Value Chain. - Stefan Forsström; Ismail Butun; Mohamed Eldefrawy; Ulf Jennehag; Mikael Gidlund (MetroInd4.0&IoT, 2018)

Elastic Provisioning of Internet of Things Services Using Fog Computing: An Experience Report. - Alessandro Zanni; Stefan Forsström; Ulf Jennehag; Paolo Bellavista (MobileCloud, 2018)

Combining Fog Computing with Sensor Mote Machine Learning for Industrial IoT. - Mehrzad Lavassani; Stefan Forsström; Ulf Jennehag; Tingting Zhang (Sensors, 2018)

Privacy in the Internet of Things. - Zhipeng Cai 001; Rong N. Chang; Stefan Forsström; Anton Kos; Chaokun Wang (Wirel. Commun. Mob. Comput., 2018)

An Implemented Open Source Blockchain Market for Smart Grids and Microgrids Using Autonomous Agents. - Stefan Forsström; Ulf Jennehag (COINS, 2019)

Bilingual Auto-Categorization Comparison of Two LSTM Text Classifiers. - Johannes Lindén; Xutao Wang; Stefan Forsström; Tingting Zhang (IIAI-AAI, 2019)

A Central Intrusion Detection System for RPL-Based Industrial Internet of Things. - Emre Aydogan; Selim Yilmaz; Sevil Sen; Ismail Butun; Stefan Forsström; Mikael Gidlund (WFCS, 2019)

Collecting Indoor Environmental Sensor Values for Machine Learning Based Smart Building Control. - Stefan Forsström; Itai Danielski; Tingting Zhang; Ulf Jennehag (IoTaIS, 2020)

A Plain Low Threshold IoT Platform for Enabling New IoT Products from SMEs. - Stefan Forsström; Ulf Jennehag; Xiao Guan (MetroInd4.0&IoT, 2020)

Machine Learning Based Anomaly Detection of Log Files Using Ensemble Learning and Self-Attention. - Markus Fält; Stefan Forsström; Tingting Zhang (ICSRS, 2021)

Learning-Based Anomaly Detection Using Log Files with Sequential Relationships. - Markus Fält; Stefan Forsström; Qing He; Tingting Zhang (ICSRS, 2022)

Evaluating Scalable Work Distribution Using IoT Devices in Fog Computing Scenarios. - Stefan Forsström; Hans Lindqvist (WF-IoT, 2023)

IIoT Intrusion Detection using Lightweight Deep Learning Models on Edge Devices. - Amanda Ericson; Stefan Forsström; Kyi Thar (WFCS, 2024)

Enhancing Intrusion Detection in CPS and IIoT with Lightweight Explainable AI Models. - Amanda Ericson; Kyi Thar; Stefan Forsström (WFCS, 2025)

On the Prediction of Wi-Fi Performance through Deep Learning. - Gabriele Formis; Amanda Ericson; Stefan Forsström; Kyi Thar; Gianluca Cena; Stefano Scanzio (WFCS, 2025)

Improving Wi-Fi Network Performance Prediction with Deep Learning Models. - Gabriele Formis; Amanda Ericson; Stefan Forsström; Kyi Thar; Gianluca Cena; Stefano Scanzio (CoRR, 2025)