| Osiris: Hunting for integer bugs in ethereum smart contracts F Torres, Christof, J Schütte, R State Proceedings of the 34th Annual Computer Security Applications Conference …, 2018 | 216 | 2018 |
| The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey FB Patrick Glauner, Jorge Augusto Meira, Petko Valtchev, Radu State International Journal of Computational Intelligence Systems 10 (1), 760-775, 2017 | 211* | 2017 |
| PhishStorm: Detecting phishing with streaming analytics S Marchal, J François, R State, T Engel IEEE Transactions on Network and Service Management 11 (4), 458-471, 2014 | 178 | 2014 |
| Blockchain-based, decentralized access control for IPFS M Steichen, B Fiz, R Norvill, W Shbair, R State 2018 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2018 | 164 | 2018 |
| BotTrack: tracking botnets using NetFlow and PageRank J François, S Wang, R State, T Engel NETWORKING 2011, 1-14, 2011 | 157 | 2011 |
| The art of the scam: Demystifying honeypots in ethereum smart contracts CF Torres, M Steichen, R State 28th {USENIX} Security Symposium ({USENIX} Security 19), 1591-1607, 2019 | 148* | 2019 |
| Empirical assessment of machine learning-based malware detectors for android K Allix, TF Bissyandé, Q Jérome, J Klein, R State, Y Le Traon Empirical Software Engineering 21 (1), 183-211, 2016 | 141 | 2016 |
| Malware behaviour analysis G Wagener, R State, A Dulaunoy Journal in computer virology 4 (4), 279-287, 2008 | 133 | 2008 |
| A blockchain-based PKI management framework A Yakubov, W Shbair, A Wallbom, D Sanda The First IEEE/IFIP International Workshop on Managing and Managed by …, 2018 | 132 | 2018 |
| BotCloud: Detecting botnets using MapReduce J Francois, S Wang, W Bronzi, R State, T Engel Information Forensics and Security (WIFS), 2011 IEEE International Workshop …, 2011 | 112 | 2011 |
| Machine learning approach for ip-flow record anomaly detection C Wagner, J François, R State, T Engel NETWORKING 2011. NETWORKING 2011 6640, 2011 | 92* | 2011 |
| Large-scale detection of non-technical losses in imbalanced data sets P Glauner, A Boechat, L Dolberg, R State, F Bettinger, Y Rangoni, ... 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2016 | 89 | 2016 |
| KiF: a stateful SIP fuzzer HJ Abdelnur, R State, O Festor Proceedings of the 1st international conference on Principles, systems and …, 2007 | 88 | 2007 |
| Monitoring SIP Traffic Using Support Vector Machines M Nassar, R State, O Festor Recent Advances in Intrusion Detection, 311-330, 2008 | 78 | 2008 |
| A big data architecture for large scale security monitoring S Marchal, X Jiang, R State, T Engel 2014 IEEE International Congress on Big Data, 56-63, 2014 | 77 | 2014 |
| Using opcode-sequences to detect malicious Android applications Q Jerome, K Allix, R State, T Engel 2014 IEEE international conference on communications (ICC), 914-919, 2014 | 73 | 2014 |
| Self Adaptive High Interaction Honeypots Driven by Game Theory G Wagener, R State, A Dulaunoy, T Engel | 65 | 2009 |
| Holistic VoIP intrusion detection and prevention system M Nassar, S Niccolini, R State, T Ewald Proceedings of the 1st international conference on Principles, systems and …, 2007 | 63 | 2007 |
| Generating multi-categorical samples with generative adversarial networks R Camino, C Hammerschmidt, R State arXiv preprint arXiv:1807.01202, 2018 | 61 | 2018 |
| A Forensic Analysis of Android Malware--How is Malware Written and How it Could Be Detected? K Allix, Q Jérome, TF Bissyandé, J Klein, R State, Y Le Traon 2014 IEEE 38th Annual Computer Software and Applications Conference, 384-393, 2014 | 59 | 2014 |
Olivier FestorTELECOM NancyVerified email at inria.fr
