| Detecting malicious data injections in wireless sensor networks: A survey VP Illiano, EC Lupu ACM Computing Surveys (CSUR) 48 (2), 1-33, 2015 | 91 | 2015 |
| Detecting malicious data injections in event detection wireless sensor networks VP Illiano, EC Lupu IEEE Transactions on Network and service management 12 (3), 496-510, 2015 | 48 | 2015 |
| Observational study of a wearable sensor and smartphone application supporting unsupervised exercises to assess pain and stiffness CGM Perraudin, VP Illiano, F Calvo, E O’Hare, SC Donnelly, RH Mullan, ... Digital Biomarkers 2 (3), 106-125, 2019 | 28 | 2019 |
| Don't fool me!: detection, characterisation and diagnosis of spoofed and masked events in wireless sensor networks VP Illiano, L Muñoz-González, EC Lupu IEEE Transactions on Dependable and Secure Computing 14 (3), 279-293, 2016 | 25 | 2016 |
| Determining resilience gains from anomaly detection for event integrity in wireless sensor networks VP Illiano, A Paudice, L Muñoz-González, EC Lupu ACM Transactions on Sensor Networks (TOSN) 14 (1), 1-35, 2018 | 14 | 2018 |
| Estimation of free-living walking cadence from wrist-worn sensor accelerometry data and its association with SF-36 quality of life scores M Karas, JK Urbanek, VP Illiano, G Bogaarts, CM Crainiceanu, JF Dorn Physiological Measurement 42 (6), 065006, 2021 | 13 | 2021 |
| Unity is strength! Combining attestation and measurements inspection to handle malicious data injections in WSNs VP Illiano, RV Steiner, EC Lupu Proceedings of the 10th ACM Conference on Security and Privacy in Wireless …, 2017 | 12 | 2017 |
| A thorough examination of morning activity patterns in adults with arthritis and healthy controls using actigraphy data A Keogh, N Sett, S Donnelly, R Mullan, D Gheta, M Maher-Donnelly, ... Digital Biomarkers 4 (3), 78-88, 2020 | 6 | 2020 |
| Systems and methods for user verification based on actigraphy data J Dorn, VP Illiano US Patent App. 17/619,227, 2022 | 1 | 2022 |
| Ensuring the resilience of wireless sensor networks to malicious data injections through measurements inspection VP Illiano Imperial College London, 2017 | 1 | 2017 |
| Smartphone-based assessment of gait with Floodlight in multiple sclerosis shows sensitivity to change over a follow-up period of 3 years J Rodrigues, G Bogaarts, A Festanti, C Simillion, S Hubeaux, VP Illiano, ... MULTIPLE SCLEROSIS JOURNAL 30 (3), 986-987, 2024 | | 2024 |
Emil LupuProfessor of Computer SystemsEmail yang diverifikasi di imperial.ac.uk