Publications

Journals

  • S. D’Oro, L. Bonati, F. Restuccia and T. Melodia, “Coordinated 5G Network Slicing: How Constructive Interference Can Boost Network Throughput,” accepted for publication, IEEE/ACM Transactions on Networking, 2021. [pdf] [bibtex]
  • R Guida, N. Dave, F.Restuccia, E. Demirors, and T. Melodia, “The Implantable Internet of Medical Things: Toward Lifelong Remote Monitoring and Treatment of Chronic Diseases,” GetMobile, Vol. 24, No. 3, Sept. 2020. [pdf] [bibtex]
  • F. Restuccia, S. D’Oro, A. Al-Shawabka, B. Costa Rendon, S. Ioannidis, and T. Melodia, “DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning,” arXiv:2005.04226, 2020.
  • F. Restuccia, S. D’Oro, A. Al-Shawabka, B. Costa Rendon, K. Chowdhury, S. Ioannidis, and T. Melodia, “Hacking the Waveform: Generalized Wireless Adversarial Deep Learning,” arXiv:2005.02270, 2020.
  • F. Restuccia and T. Melodia “Deep Learning at the Physical Layer: System Challenges and Applications to 5G and Beyond,” IEEE Communications Magazine, Vol. 58, Is. 10, October 2020. [pdf] [bibtex]
  • L. Bertizzolo, L. Bonati, E. Demirors, A. Al-Shawabka, S. D’Oro, F. Restuccia, and T. Melodia, “Arena: A 64-antenna SDR-based Ceiling Grid Testing Platform for Sub-6 GHz 5G-and-Beyond Radio Spectrum Research,” Elsevier Computer Networks (COMNET), 2020. [pdf] [bibtex]
  • A. Coletta, G. Maselli, M. Piva, D. Silvestri, and F. Restuccia, “My SIM is Leaking My Data: Exposing Self-Login Privacy Breaches in Smartphones,” arXiv:2003.08458, 2020.
  • K. Sankhe, M. Belgiovine, F. Zhou, L. Angioloni, F. Restuccia, S. D’Oro, T. Melodia, S. Ioannidis, and K. Chowdhury, “No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments,” IEEE Transactions on Cognitive Communications and Networking, Vol. 6 , Is. 1, March 2020. [pdf] [bibtex]
  • S. D’Oro, F. Restuccia, and T. Melodia, “Toward Operator-to-Waveform 5G Radio Access Network Slicing,” IEEE Communications Magazine, Vol. 58, No 4, April 2020. [pdf] [bibtex]
  • J. Jagannath, N. Polosky, A. Jagannath, F. Restuccia, and T. Melodia, “Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey,”, Ad Hoc Networks, Vol. 93, October 2019. [pdf] [bibtex]
  • L. Zhang, F. Restuccia, T. Melodia, and S. Pudlewski, “Taming Cross-Layer Attacks in Wireless Networks: A Bayesian Learning Approach,” IEEE Transactions on Mobile Computing, Vol. 18, No. 7, July 2019. [pdf] [bibtex]
  • S. D’Oro, F. Restuccia, T. Melodia, and S. Palazzo, “Low-Complexity Distributed Radio Access Network Slicing: Algorithms and Experimental Results,” IEEE/ACM Transactions on Networking,, Vol. 26, No. 6, December 2018. [pdf] [bibtex]
  • F. Restuccia, P. Ferraro, S. Silvestri, S.K. Das, and G. Lo Re, “IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility,” IEEE Transactions on Mobile Computing, Vol. 18, No. 7, July 2019. [pdf] [bibtex]
  • F. Restuccia, P. Ferraro, T.S. Sanders, S. Silvestri, S.K. Das, and G. Lo Re, “FIRST: A Framework for Optimizing Information Quality in Mobile Crowdsensing Systems,” ACM Transactions on Sensor Networks, Volume 15, Issue 1, January 2019. [pdf] [bibtex]
  • F. Restuccia, S. D’Oro, and T. Melodia, “Securing the Internet of Things in the Age of Machine Learning and Software-defined Networking,” IEEE Internet of Things Journal, Vol. 5, Is. 6, December 2018. [pdf] [bibtex]
  • F. Restuccia, N. Ghosh, S. Bhattacharjee, S.K. Das, and T. Melodia, “Quality of Information in Mobile Crowdsensing: Survey and Research Challenges,” ACM Transactions on Sensor Networks, Vol. 13, Is. 4, No. 34, December 2017. [pdf] [bibtex]
  • F. Restuccia, S.K. Das, and J. Payton, “Incentive Mechanisms in Participatory Sensing: Survey and Research Challenges,” ACM Transactions on Sensor Networks, Vol. 12, Is. 2, No. 13, February 2016. [pdf] [bibtex]
  • F. Restuccia and S. K. Das, “Optimizing the Lifetime with QoS of Sensor Networks with Uncontrollable Mobile Sinks,” ACM Transactions on Sensor Networks, Vol. 12, Is. 1, No. 2, March 2016. [pdf] [bibtex]
  • D. De Guglielmo, F. Restuccia, G. Anastasi, M. Conti, and S.K. Das, “Accurate and Efficient Modeling of 802.15.4 Unslotted CSMA/CA through Event Chains Computation,” IEEE Transactions on Mobile Computing, Vol. 15, No. 12, 2016. [pdf] [bibtex]
  • F. Restuccia, G. Anastasi, M. Conti, S. K. Das, “Analysis and Optimization of Protocol for Mobile Element Discovery in Sensor Networks,” IEEE Transactions on Mobile Computing, Vol. 13, No. 9, 2014.

Conferences

  • M. Piva, G. Maselli, and F. Restuccia, “The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting,” Proc. of ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), Shanghai, China, July 2021.
  • M. Polese, F. Restuccia, and T. Melodia, “DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks,” Proc. of ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), Shanghai, China, July 2021.
  • A. Al-Shawabka, P. Pietraski, S.B. Pattar, F. Restuccia and T. Melodia, “DeepLoRa: Fingerprinting LoRa Devices at Scale Through Deep Learning and Data Augmentation,” Proc. of ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), Shanghai, China, July 2021.
  • D. Callegaro, M. Levorato, and F. Restuccia, “SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing,” Proc. of IEEE International Conference on Sensing, Communication and Networking (IEEE SECON), 2021 [pdf]
  • D. Uvaydov, S. D’Oro, F. Restuccia and T. Melodia, “DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning,” Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2021.
  • L. Bonati, S. D’Oro, F. Restuccia, S. Basagni and T. Melodia, “SteaLTE: Private 5G Cellular Connectivity as a Service with Full-stack Wireless Steganography,” Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2021.
  • S. D’Oro, F. Restuccia and T. Melodia, “Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification,” Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), 2021.
  • G. Maselli, M. Piva and F. Restuccia, “HyBloSE: Hybrid Blockchain for Secure-by-Design Smart Environments,” Proceedings of ACM Workshop on Cryptocurrencies and Blockchains for Distributed Systems (CryBlock, co-located with ACM MobiCom), September 2020. [pdf] [bibtex]
  • F. Restuccia and T. Melodia, “PolymoRF: Polymorphic Wireless Receivers Through Physical-Layer Deep Learning,” Proceedings of ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), October 2020. [pdf] [bibtex]
  • S. D’Oro, L. Bonati, F. Restuccia, M. Polese, M. Zorzi and T. Melodia, “Sl-EDGE: Network Slicing at the Edge,” Proceedings of ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), October 2020. [pdf] [bibtex]
  • F. Restuccia and T. Melodia, “DeepWiERL: Bringing Deep Reinforcement Learning to the Internet of Self-Adaptive Things,” Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), July 2020. [pdf] [bibtex]
  • A. Al-Shawabka, F. Restuccia, S. D’Oro, T. Jian, B. Costa Rendon, N. Soltani, J. Dy, K. Chowdhury, S. Ioannidis and T. Melodia, “Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting,” Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), July 2020. [pdf] [bibtex]
  • R. Guida, N. Dave, F. Restuccia, E. Demirors and T. Melodia, “U-Verse: A Miniaturized Platform for End-to-End Closed-Loop Implantable Internet of Medical Things Systems”, in Proceedings of ACM Conference on Embedded Networked Sensor Systems (ACM SenSys), New York, NY, 2019. [pdf] [bibtex]
  • K. Zheng et al., “Software-defined Radios to Accelerate mmWave Wireless Innovation”, in Proc. of the IEEE International Symposium on Dynamic Spectrum Access Networks Workshops (DySPAN), Newark, NJ, USA, 2019. [pdf] [bibtex]
  • M. Polese, F. Restuccia, A. Gosain, J. M. Jornet, S Bhardwaj, V. Ariyarathna, S. Mandal, K. Zheng, A. Dhananjay, M. Mezzavilla, J. Buckwalter, M. Rodwell, X. Wang, M. Zorzi, A. Madanayake and T. Melodia, “MillimeTera: Toward A Large-Scale Open-Source mmWave and Terahertz Experimental Testbed,” in Proceedings of ACM Workshop on Millimeter-Wave Networks and Sensing Systems (mmNets), ACM MobiCom, Los Cabos, Mexico, Oct. 2019. [pdf] [bibtex]
  • K. Sankhe, F. Restuccia, S. D’Oro, T. Jian, Z. Wang, A. Al-Shawabka, J. Dy, T. Melodia, S. Ioannidis, and K. Chowdhury, “Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections,” in Proceedings of IEEE/AFCEA Military Communications Conference (MILCOM), Norfolk, VA, November 12-14, 2019. [pdf] [bibtex]
  • F. Restuccia, S. D’Oro, A. Al-Shawabka, M. Belgiovine, L. Angioloni, S. Ioannidis, K. Chowdhury and T. Melodia, “DeepRadioID: Real-Time Channel-Resistent Optimization of Deep Learning-based Radio Fingerprinting Algorithms,” Proceedings of ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc), Catania, Italy, July 2019. [pdf] [bibtex]
  • L. Zhang, F. Restuccia, T. Melodia and S.M. Pudlewski, “Jam Sessions: Analysis and Experimental Evaluation of Advanced Jamming Attacks in MIMO Networks,” Proceedings of ACM International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc), Catania, Italy, July 2019. [pdf] [bibtex]
  • F. Restuccia and T. Melodia, “Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF Loop,” Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Paris, France, May 2019. [pdf] [bibtex]
  • S. D’Oro, F. Restuccia, A. Talamonti, T. Melodia, “The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems,” Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Paris, France, May 2019. [pdf] [bibtex]
  • S. D’Oro, F. Restuccia, T. Melodia, “Hiding Data in Plain Sight: Undetectable Wireless Communications Through Pseudo-Noise Asymmetric Shift Keying,” Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Paris, France, May 2019. [pdf] [bibtex]
  • F. Restuccia, E. Demirors and T. Melodia, “iSonar: Software-defined Underwater Acoustic Networking for Amphibious Smartphones,” in Proceedings of the ACM International Conference on Underwater Networks & Systems (ACM WUWNet), Halifax, Canada, November 2017. [pdf] [bibtex]
  • L. Zhang, F. Restuccia, T. Melodia, and S. Pudlewski, “Learning to Detect and Mitigate Cross-layer Attacks in Wireless Networks: Framework and Applications,” Proceedings of the IEEE Conference on Communications and Network Security (IEEE CNS), Las Vegas, NV, USA, Oct. 2017. [pdf] [bibtex]
  • F. Restuccia and S. K. Das, “Lifetime Optimization with QoS of Sensor Networks with Uncontrollable Mobile Sinks,” Proceedings of the IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks (IEEE WoWMoM), Boston, MA, USA, June 2015. [pdf] [bibtex]
  • F. Restuccia, A. Saracino, S. K. Das, and F. Martinelli, “Preserving QoI in Participatory Sensing by Tackling Location-spoofing Attacks through Mobile WiFi Hotspots,” Proceedings of the IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom), IQ2S Workshop, St. Louis, MO, USA, March 2015. [pdf] [bibtex]
  • F. Restuccia and S. K. Das, “FIDES: A Trust-based Framework for Secure User Incentivization in Participatory Sensing,” Proceedings of the IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks (IEEE WoWMoM), Sydney, NSW, Australia, June 2014 (Acceptance Rate: 20.17%). [pdf] [bibtex]
  • F. Restuccia, G. Anastasi, M. Conti, S. K. Das, “Performance Analysis of a Hierarchical Discovery Protocol for WSNs with Mobile Elements,” Proceedings of the IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks (IEEE WoWMoM), San Francesco, CA, USA, June 2012 (Acceptance Rate: 19.45%). [pdf] [bibtex]
  • K. Kondepu, F. Restuccia, G. Anastasi, M. Conti, “A Hybrid and Flexible Discovery Algorithm for WSNs with Mobile Elements,” Proceedings of the IEEE International Symposium on Computers and Communications (IEEE ISCC), Cappadocia, Turkey, June 2012. [pdf] [bibtex]

Book Chapters

  • J. Jagannath, N. Polosky, A. Jagannath, F. Restuccia and T. Melodia, “Neural Networks for Signal Intelligence: Theory and Practice,” Machine Learning for Future Wireless Communications, John Wiley and IEEE, November 2019, ISBN: 9781119562252.
  • F. Restuccia, S. D’Oro, L. Zhang, and T. Melodia, “The Role of Machine Learning and Radio Reconfigurability in the Quest for Wireless Security,” Proactive and Dynamic Network Defense, pp. 191-221, Springer, May 2019, ISBN: 9783030105976. [pdf] [bibtex]