| Adaptive Artificial Immune Networks for Mitigating DoS flooding Attacks LJGV Jorge Maestre Vidal, Ana Lucila Sandoval Orozco Swarm and Evolutionary Computation, 2017 | 93* | 2017 |
| Benchmark-based reference model for evaluating botnet detection tools driven by traffic-flow analytics KS Huancayo Ramos, MA Sotelo Monge, J Maestre Vidal Sensors 20 (16), 4501, 2020 | 46 | 2020 |
| A novel pattern recognition system for detecting Android malware by analyzing suspicious boot sequences JM Vidal, MAS Monge, LJG Villalba Knowledge-Based Systems 150, 198-217, 2018 | 43 | 2018 |
| Traffic-flow analysis for source-side DDoS recognition on 5G environments MA Sotelo Monge, A Herranz González, B Lorenzo Fernández, ... Journal of Network and Computer Applications, 2019 | 37 | 2019 |
| A novel self-organizing network solution towards crypto-ransomware mitigation MAS Monge, JM Vidal, LJG Villalba Proceedings of the 13th International Conference on Availability …, 2018 | 34 | 2018 |
| Alert correlation framework for malware detection by anomaly-based packet payload analysis JM Vidal, ALS Orozco, LJG Villalba Journal of Network and Computer Applications 97, 11-22, 2017 | 34 | 2017 |
| Detection of economic denial of sustainability (EDoS) threats in self-organizing networks MAS Monge, JM Vidal, GM Pérez Computer Communications 145, 284-308, 2019 | 33 | 2019 |
| Towards incidence management in 5G based on situational awareness LI Barona Lopez, AL Valdivieso Caraguay, J Maestre Vidal, ... Future Internet 9 (1), 3, 2017 | 26 | 2017 |
| Online masquerade detection resistant to mimicry JM Vidal, ALS Orozco, LJG Villalba Expert Systems with Applications 61, 162-180, 2016 | 25 | 2016 |
| Entropy-based economic denial of sustainability detection MA Sotelo Monge, J Maestre Vidal, LJ Garcia Villalba Entropy 19 (12), 649, 2017 | 24 | 2017 |
| Espada: Enhanced payload analyzer for malware detection robust against adversarial threats JM Vidal, MAS Monge, SMM Monterrubio Future Generation Computer Systems 104, 159-173, 2020 | 23 | 2020 |
| Reasoning and knowledge acquisition framework for 5g network analytics MA Sotelo Monge, J Maestre Vidal, LJ Garcia Villalba Sensors 17 (10), 2405, 2017 | 22 | 2017 |
| An approach to data analysis in 5G networks LI Barona Lopez, J Maestre Vidal, LJ Garcia Villalba Entropy 19 (2), 74, 2017 | 22 | 2017 |
| A bio-inspired reaction against cyberattacks: AIS-powered optimal countermeasures selection P Nespoli, FG Mármol, JM Vidal IEEE Access 9, 60971-60996, 2021 | 19 | 2021 |
| Malware detection system by payload analysis of network traffic LJG Villalba, ALS Orozco, JM Vidal IEEE Latin America Transactions 13 (3), 850-855, 2015 | 19 | 2015 |
| Battling against cyberattacks: Towards pre-standardization of countermeasures P Nespoli, F Gomez Marmol, J Maestre Vidal Cluster Computing 24, 57-81, 2021 | 18 | 2021 |
| Obfuscation of malicious behaviors for thwarting masquerade detection systems based on locality features J Maestre Vidal, MA Sotelo Monge Sensors 20 (7), 2084, 2020 | 18 | 2020 |
| 5G PPP phase1 security landscape P Bisson, J Waryet 5G PPP Security Group White Paper, 2017 | 17 | 2017 |
| Advanced payload analyzer preprocessor LJG Villalba, ALS Orozco, JM Vidal Future generation computer systems 76, 474-485, 2017 | 15 | 2017 |
| Evolutions of evasion techniques aigainst network intrusion detection systems JM Vidal, JDM Castro, ALS Orozco, LJG Villalba ICIT 2013 The 6tm International conference on Information Technology, 2013 | 14 | 2013 |
Luis Javier García VillalbaGroup of Analysis, Security and Systems, Department of Software Engineering and ArtificialE-mail megerősítve itt: fdi.ucm.es
