| MQTTset, a new dataset for machine learning techniques on MQTT I Vaccari, G Chiola, M Aiello, M Mongelli, E Cambiaso Sensors 20 (22), 6578, 2020 | 181 | 2020 |
| Electromagnetic transition form factors of negative parity nucleon resonances M Aiello, MM Giannini, E Santopinto Journal of Physics G: Nuclear and Particle Physics 24 (4), 753, 1998 | 173 | 1998 |
| Slow DoS attacks: definition and categorisation E Cambiaso, G Papaleo, G Chiola, M Aiello International Journal of Trust Management in Computing and Communications 1 …, 2013 | 135 | 2013 |
| A three-body force model for the electromagnetic excitation of the nucleon M Aiello, M Ferraris, MM Giannini, M Pizzo, E Santopinto Physics Letters B 387 (1), 215-221, 1996 | 112 | 1996 |
| Taxonomy of slow DoS attacks to web applications E Cambiaso, G Papaleo, M Aiello Recent Trends in Computer Networks and Distributed Systems Security …, 2012 | 88 | 2012 |
| SlowITe, a novel denial of service attack affecting MQTT I Vaccari, M Aiello, E Cambiaso Sensors 20 (10), 2932, 2020 | 76 | 2020 |
| DNS tunneling detection through statistical fingerprints of protocol messages and machine learning M Aiello, M Mongelli, G Papaleo International Journal of Communication Systems 28 (14), 1987-2002, 2015 | 72 | 2015 |
| An on-line intrusion detection approach to identify low-rate DoS attacks M Aiello, E Cambiaso, M Mongelli, G Papaleo 2014 International Carnahan Conference on Security Technology (ICCST), 1-6, 2014 | 47 | 2014 |
| Basic classifiers for DNS tunneling detection M Aiello, M Mongelli, G Papaleo 2013 IEEE Symposium on Computers and Communications (ISCC), 000880-000885, 2013 | 47 | 2013 |
| Slowcomm: Design, development and performance evaluation of a new slow DoS attack E Cambiaso, G Papaleo, M Aiello Journal of Information Security and Applications 35, 23-31, 2017 | 44 | 2017 |
| A comparative performance evaluation of DNS tunneling tools A Merlo, G Papaleo, S Veneziano, M Aiello Computational Intelligence in Security for Information Systems: 4th …, 2011 | 43 | 2011 |
| Cell-laden hydrogel as a clinical-relevant 3D model for analyzing neuroblastoma growth, immunophenotype, and susceptibility to therapies A Marrella, A Dondero, M Aiello, B Casu, D Olive, S Regis, C Bottino, ... Frontiers in immunology 10, 1876, 2019 | 42 | 2019 |
| Remotely exploiting at command attacks on zigbee networks I Vaccari, E Cambiaso, M Aiello Security and Communication Networks 2017 (1), 1723658, 2017 | 42 | 2017 |
| Comparison between Franz diffusion cell and a novel micro-physiological system for in vitro penetration assay using different skin models I Pulsoni, M Lubda, M Aiello, A Fedi, M Marzagalli, J von Hagen, ... SLAS technology 27 (3), 161-171, 2022 | 39 | 2022 |
| Darknet Security: A Categorization of Attacks to the Tor Network. E Cambiaso, I Vaccari, L Patti, M Aiello ITASEC, 1-12, 2019 | 39 | 2019 |
| Are mobile botnets a possible threat? The case of SlowBot Net P Farina, E Cambiaso, G Papaleo, M Aiello Computers & Security 58, 268-283, 2016 | 37 | 2016 |
| A combined low-frequency electromagnetic and fluidic stimulation for a controlled drug release from superparamagnetic calcium phosphate nanoparticles: potential application for … A Marrella, M Iafisco, A Adamiano, S Rossi, M Aiello, ... Journal of The Royal Society Interface 15 (144), 20180236, 2018 | 36 | 2018 |
| Understanding ddos attacks from mobile devices P Farina, E Cambiaso, G Papaleo, M Aiello 2015 3rd International Conference on Future Internet of Things and Cloud …, 2015 | 34 | 2015 |
| Designing and modeling the slow next DoS attack E Cambiaso, G Papaleo, G Chiola, M Aiello International Joint Conference: CISIS’15 and ICEUTE’15, 249-259, 2015 | 33 | 2015 |
| A similarity based approach for application DoS attacks detection M Aiello, E Cambiaso, S Scaglione, G Papaleo 2013 IEEE Symposium on Computers and Communications (ISCC), 000430-000435, 2013 | 33 | 2013 |
Enrico CambiasoConsiglio Nazionale delle Ricerche在 cnr.it 的电子邮件经过验证
