Items where Author is "Konios, A"

Journal article

BHARATHI, S., KONIOS, A. and MANIKANDASAMY, N., 2025. Evaluating the efficacy and safety of the reconnaissance and vulnerability discovery lock agents in harbor-lock for enterprise-scale penetration testing. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 16 (4), pp. 614-630. ISSN 2093-5374

S, B., KONIOS, A., MANIKANDASAMY, N., V K, S., M, C. and B, S., 2025. AI revolutionizing cybersecurity: an overview. International Journal of Basic and Applied Sciences, 14 (7), pp. 139-148. ISSN 2227-5053

SERAJ, S., SADIQ, A.S., KAIWARTYA, O., ALJAIDI, M., KONIOS, A., ALI, M. and ABAZEED, M., 2024. MoBShield: a novel XML approach for securing mobile banking. Computers, Materials and Continua. ISSN 1546-2218 (Forthcoming)

KHALAF, B.A., OTHMAN, S.H., RAZAK, S.A. and KONIOS, A., 2024. A hybrid deep learning model for securing smart city networks against flooding attack. Journal of Cybersecurity and Information Management, 14 (2), pp. 311-322. ISSN 2769-7851

CHRISTOPOULOS, S.-R.G., PAPADOPOULOU, K.A., KONIOS, A. and PARFITT, D., 2022. DIMS: a tool for setting up defects and impurities CASTEP calculations. Computational Materials Science, 202: 110976. ISSN 0927-0256

EKERETE, I., GARCIA-CONSTANTINO, M., KONIOS, A., MUSTAFA, M.A., DIAZ-SKEETE, Y., NUGENT, C. and MCLAUGHLIN, J., 2021. Fusion of unobtrusive sensing solutions for home-based activity recognition and classification using data mining models and methods. Applied Sciences, 11 (19): 9096. ISSN 2076-3417

MUSTAFA, M.A., KONIOS, A. and GARCIA-CONSTANTINO, M., 2021. IoT-based activities of daily living for abnormal behavior detection: privacy issues and potential countermeasures. IEEE Internet of Things Magazine, 4 (3), pp. 90-95. ISSN 2576-3180

Chapter in book

KONIOS, A., ORTIZ-BARRIOS, M. and FERNANDEZ-MENDOZA, Z.-E., 2025. Addressing bed waiting times in intensive care units during respiratory demand peaks: a digital twin application. In: 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025. Proceedings. Cham: Springer.

KONIOS, A., ORTIZ-BARRIOS, M., FERNANDEZ-MENDOZA, Z.-E., NAVARRO-JIMENEZ, E. and MARTÍNEZ-SIERRA, D.-E., 2025. A digital twin for shortening waiting times in emergency departments during respiratory disease peaks. In: 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025. Proceedings. Cham: Springer.

ZEPEDA-GIL, C., GARCIA-CONSTANTINO, M. and KONIOS, A., 2025. Design of low-cost sensor-based solution to support thermal comfort. In: J. BRAVO, C. NUGENT and I. CLELAND, eds., Proceedings of the 16th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2024). Lecture notes in networks and systems . Cham: Springer. ISBN 9783031775703

KONIOS, A., GARCIA-CONSTANTINO, M., EKERETE, I., MUSTAFA, M.A., LOPEZ-NAVA, I.H. and ALTAMIRANO-FLORES, Y.V., 2024. Use of thermal sensor data for personalised mood detection in activities of daily living (ADLs). In: Proceedings of the 16th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2024). Lecture notes in networks and systems . Cham: Springer Cham.

ALTAMIRANO-FLORES, Y.V., KONIOS, A., LOPEZ-NAVA, I.H., GARCIA-CONSTANTINO, M., EKERETE, I. and MUSTAFA, M.A., 2023. Analysis of accelerometer data for personalised mood detection in activities of daily living. In: Proceedings of the 21st International Conference on Pervasive Computing and Communications (PerCom 2023). Piscataway: Institute of Electrical and Electronics Engineers.

ORTIZ-BARRIOS, M., ESPELETA-ARIS, A., JIMÉNEZ-DELGADO, G., CELANI-DE SOUZA, H.J., SANTANA-DE OLIVEIRA, J., KONIOS, A., CAMPIS- FREYLE, L. and NAVARRO-JIMENEZ, E., 2023. A hybrid multi-criteria framework for evaluating the performance of clinical labs during the Covid-19 pandemic. In: UNSPECIFIED Springer. (Forthcoming)

KONIOS, A., KHAN, Y.I., GARCIA-CONSTANTINO, M. and LOPEZ-NAVA, I.H., 2023. A modular framework for modelling and verification of activities in ambient intelligent systems. In: UNSPECIFIED Springer. (Forthcoming)

GARCIA-CONSTANTINO, M., KONIOS, A., LOPEZ-NAVA, I.H., POULIET, P., EKERETE, I., MUSTAFA, M.A., NUGENT, C. and MORRISON, G., 2023. Analysis of accelerometer data for personalised abnormal behaviour detection in activities of daily living. In: J. BRAVO, S. OCHOA and J. FAVELA, eds., Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2022). Lecture notes in networks and systems (594). Cham: Springer International Publishing, pp. 302-313. ISBN 9783031213328