2026
Dimitrios Bozanis Dafni Nikolaidou, Panagiotis Sarigiannidis
On the Performance Analysis of Optical Wireless Integrated Sensing and Communications Proceedings Article Forthcoming
In: IEEE ICC, Forthcoming.
@inproceedings{ieee_icc_oisac,
title = {On the Performance Analysis of Optical Wireless Integrated Sensing and Communications},
author = {Dafni Nikolaidou, Dimitrios Bozanis, Panagiotis Sarigiannidis, George K. Karagiannidis, Robert Schober, Christos Masouros, Vasilis K. Papanikolaou},
year = {2026},
date = {2026-07-01},
urldate = {2026-07-01},
booktitle = {IEEE ICC},
abstract = {Integrated sensing and communication (ISAC) has been identified as a key paradigm for future wireless networks by enabling spectrum and hardware-efficient coexistence of data transmission and environmental sensing, utilizing shared waveforms. On the other hand, by leveraging the large unregulated bandwidth, high spatial resolution, and inherent security of optical wireless links, optical wireless ISAC (O-ISAC) is attractive for high-accuracy indoor sensing and communication applications. While existing literature largely explores O-ISAC through resource allocation or architectural design, this paper provides a waveform-level analysis, focusing on the sensing performance of direct-current-biased optical OFDM (DCO-OFDM).},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Integrated sensing and communication (ISAC) has been identified as a key paradigm for future wireless networks by enabling spectrum and hardware-efficient coexistence of data transmission and environmental sensing, utilizing shared waveforms. On the other hand, by leveraging the large unregulated bandwidth, high spatial resolution, and inherent security of optical wireless links, optical wireless ISAC (O-ISAC) is attractive for high-accuracy indoor sensing and communication applications. While existing literature largely explores O-ISAC through resource allocation or architectural design, this paper provides a waveform-level analysis, focusing on the sensing performance of direct-current-biased optical OFDM (DCO-OFDM).
Evgenidis, Nikos G.; Mitsiou, Nikos A.; Tegos, Sotiris A.; Diamantoulakis, Panagiotis D.; Sarigiannidis, Panagiotis; Rekanos, Ioannis T.; Karagiannidis, George K.
Waveform Design for Over-the-Air Computing Journal Article
In: IEEE Transactions on Wireless Communications, vol. 25, pp. 4767–4782, 2026, ISSN: 1558-2248.
@article{Evgenidis_2026,
title = {Waveform Design for Over-the-Air Computing},
author = {Nikos G. Evgenidis and Nikos A. Mitsiou and Sotiris A. Tegos and Panagiotis D. Diamantoulakis and Panagiotis Sarigiannidis and Ioannis T. Rekanos and George K. Karagiannidis},
url = {http://dx.doi.org/10.1109/TWC.2025.3613838},
doi = {10.1109/twc.2025.3613838},
issn = {1558-2248},
year = {2026},
date = {2026-01-01},
urldate = {2026-01-01},
journal = {IEEE Transactions on Wireless Communications},
volume = {25},
pages = {4767–4782},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
abstract = {In response to the increasing number of devices expected in next-generation networks, a shift to over-the-air (OTA) computing has been proposed. By leveraging the superposition of multiple access channels, OTA computing enables efficient resource management by supporting simultaneous uncoded transmission in the time and frequency domains. To advance the integration of OTA computing, our study presents a theoretical analysis that addresses practical issues encountered in current digital communication transceivers, such as transmitter synchronization errors and intersymbol interference (ISI).},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In response to the increasing number of devices expected in next-generation networks, a shift to over-the-air (OTA) computing has been proposed. By leveraging the superposition of multiple access channels, OTA computing enables efficient resource management by supporting simultaneous uncoded transmission in the time and frequency domains. To advance the integration of OTA computing, our study presents a theoretical analysis that addresses practical issues encountered in current digital communication transceivers, such as transmitter synchronization errors and intersymbol interference (ISI).
2025
P. Radoglou-Grammatikis P. S. Bouzinis, N. A. Mitsiou
Mitigating Model Replacement Attacks in Federated Learning-based Intrusion Detection Systems Proceedings Article
In: WS-18: The Third Workshop on SIGNIS: Softwarized Next Generation Networks for IoT Services at IEEE Global Communications Conference, 2025, (Presented 8–12 December 2025).
@inproceedings{bouzinis2025mitigating,
title = {Mitigating Model Replacement Attacks in Federated Learning-based Intrusion Detection Systems},
author = {P. S. Bouzinis, P. Radoglou-Grammatikis, N. A. Mitsiou, T. K. Oikonomou, V.Koutsioumpa, G. Th. Papadopoulos, V. Kotsirou, G. K. Karagiannidis, P. Sarigiannidis},
year = {2025},
date = {2025-12-12},
urldate = {2026-12-01},
booktitle = {WS-18: The Third Workshop on SIGNIS: Softwarized Next Generation Networks for IoT Services at IEEE Global Communications Conference},
note = {Presented 8–12 December 2025},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
M. Tarousi O. Giannakopoulou, T. Androutsou
Federated Deception Intelligence and the ASKOS Solution for Cyber-Resilient Healthcare Infrastructures Proceedings Article
In: Medical Informatics Europe 2026 (MIE 2026), 2025, (Accepted, Nov. 2025).
@inproceedings{giannakopoulou2025federated,
title = {Federated Deception Intelligence and the ASKOS Solution for Cyber-Resilient Healthcare Infrastructures},
author = {O. Giannakopoulou, M. Tarousi, T. Androutsou, S. Pitoglou, E. Skoularikis, D. Pliatsios, P. Sarigiannidis},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
booktitle = {Medical Informatics Europe 2026 (MIE 2026)},
abstract = {Healthcare infrastructures face escalating cybersecurity risks caused by legacy systems, connected IoMT devices, and complex data-sharing environments. Conventional intrusion detection and SIEM systems provide limited protection against zero-day and lateral-movement attacks. This paper presents the ASKOS architecture, a federated and deception-enhanced security framework that integrates Conpot honeypots with federated machine learning and software-defined networking (SDN) to enable privacy-preserving, adaptive cyber defense. By combining deception telemetry, distributed anomaly detection, and risk-aware orchestration, ASKOS delivers an intelligent and compliant security layer that can be implemented across healthcare infrastructures.},
note = {Accepted, Nov. 2025},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Healthcare infrastructures face escalating cybersecurity risks caused by legacy systems, connected IoMT devices, and complex data-sharing environments. Conventional intrusion detection and SIEM systems provide limited protection against zero-day and lateral-movement attacks. This paper presents the ASKOS architecture, a federated and deception-enhanced security framework that integrates Conpot honeypots with federated machine learning and software-defined networking (SDN) to enable privacy-preserving, adaptive cyber defense. By combining deception telemetry, distributed anomaly detection, and risk-aware orchestration, ASKOS delivers an intelligent and compliant security layer that can be implemented across healthcare infrastructures.