Ongoing Projects
- dAIEdge: A Network of Excellence for Distributed, Trustworthy, Efficient and Sclabale AI at the Edge, HORIZON EUROPE (2024-2027) https://daiedge.eu/
- Cybersecurity for Renewable Energy @ Colorado State University, USA, Security Research
- PRO.MIS Project-@ Institutionen för datavetenskap, DIDA, Blekinge Tekniska Högskola , Department of Computer science.https://www.bth.se/eng/research/research-fields/software-engineering/promis/(2020-2025)
- Eclipse ArrowHead-@ Cyber-Physical Systems-Luleå University of Technology,Luleå, Sweden
Past Projects
- Symphony – Supply-and-Demand-based Service Exposure using Robust Distributed Concepts 2020-2023, finansierad av KKS.
- Dynamic Intelligent Sensor Intensive Systems (DISS)-@ Internet of Things and People (IOTAP) Research Center, Malmö University, Sweden https://iotap.mau.se/projects/diss/ (Partners: Malmö University, Axis Communication, Sigma Connectivity, and Sigma Technology)
Primary focus on DISS
- Information Security aspects of Dynamic intelligent Virtual Sensors (DIVS), with an exploration of adversarial attacks during active learning
DISS Publications
- Kebande, Victor R., et al. “Active Machine Learning Adversarial Attack Detection in the User Feedback Process.” IEEE Access 9 (2021): 36908-36923.https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9366529
- V.R Kebande, Jan Persson, Bugeja, T (2019). Internet of Threat Introspection in Dynamic Intelligent Virtual Sensing. In the 9th International Conference on the Internet of Things (IoT 2019) under Cyber-Physical Social Systems for Smart Cities (CPSS2019), in Bilbao, Spain-ACM-published.http://ceur-ws.org/Vol-2530/paper4.pdf
- Jan Persson, Bugeja Joseph, Paul Davidsson,Maliheh Ghajargar, Holberg Johan,V.R.Kebande, Radu-Casian Mihailescu,Arezoo Sarkheyli-Hägele,Tegen Agnes (2021). Interactive Dynamic Intelligent Virtual Sensors (IIDIVS): Bridging the gap between sensors, services and users through machine learning, in Communications of ACM-Revise
- R. Kebande, V., Alawadi, S., Bugeja, J., A. Persson, J., & Magnus Olsson, C. (2020, October). Leveraging Federated Learning & Blockchain to counter Adversarial Attacks in Incremental Learning. In 10th International Conference on the Internet of Things Companion (pp. 1-5).https://dl.acm.org/doi/pdf/10.1145/3423423.3423425?casa_token=Z9xX14U44F4AAAAA:pGqVTLNpVlMmwv8cVP1u31vnxcdd-vZQzMwzB_yVJ2-Ypxn4yo6amM6EsNTuNa4y6fB9RKR-McjEtsg