| A survey of attacks and detection mechanisms on intelligent transportation systems: VANETs and IoV F Sakiz, S Sen Ad Hoc Networks 61, 33-50, 2017 | 490 | 2017 |
| Exposure: A passive dns analysis service to detect and report malicious domains L Bilge, S Sen, D Balzarotti, E Kirda, C Kruegel ACM Transactions on Information and System Security (TISSEC) 16 (4), 1-28, 2014 | 405 | 2014 |
| Intrusion detection in mobile ad hoc networks S Şen, JA Clark Guide to wireless ad hoc networks, 427-454, 2009 | 151 | 2009 |
| Electric fish optimization: a new heuristic algorithm inspired by electrolocation S Yilmaz, S Sen Neural Computing and Applications 32 (15), 11543-11578, 2020 | 100 | 2020 |
| Evolutionary computation techniques for intrusion detection in mobile ad hoc networks S Sen, JA Clark Computer Networks 55 (15), 3441-3457, 2011 | 94 | 2011 |
| Coevolution of mobile malware and anti-malware S Sen, E Aydogan, AI Aysan IEEE Transactions on Information Forensics and Security 13 (10), 2563-2574, 2018 | 91 | 2018 |
| Security threats in mobile ad hoc networks S Sen, JA Clark, JE Tapiador Security of Self-Organizing Networks: MANET, WSN, WMN, VANET, Auerbach …, 2010 | 79 | 2010 |
| Load balancing for RPL-based Internet of Things: A review D Pancaroglu, S Sen Ad Hoc Networks 116, 102491, 2021 | 55 | 2021 |
| A central intrusion detection system for rpl-based industrial internet of things E Aydogan, S Yilmaz, S Sen, I Butun, S Forsström, M Gidlund 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS …, 2019 | 55 | 2019 |
| A grammatical evolution approach to intrusion detection on mobile ad hoc networks S Şen, JA Clark Proceedings of the second ACM conference on Wireless network security, 95-102, 2009 | 51 | 2009 |
| A survey of intrusion detection systems using evolutionary computation S Sen Bio-inspired computation in telecommunications, 73-94, 2015 | 50 | 2015 |
| GenTrust: A genetic trust management model for peer-to-peer systems UE Tahta, S Sen, AB Can Applied Soft Computing 34, 693-704, 2015 | 49 | 2015 |
| A transfer learning approach for securing resource-constrained IoT devices S Yilmaz, E Aydogan, S Sen IEEE Transaction on Information Forensics and Security, 2021 | 44 | 2021 |
| Threat modelling for mobile ad hoc and sensor networks JA Clark, J Murdoch, JA McDermid, S Sen, H Chivers, O Worthington, ... Annual Conference of ITA, 25-27, 2007 | 39 | 2007 |
| Power-aware intrusion detection in mobile ad hoc networks S Şen, JA Clark, JE Tapiador Ad Hoc Networks: First International Conference, ADHOCNETS 2009, Niagara …, 2010 | 37 | 2010 |
| Automatic generation of mobile malwares using genetic programming E Aydogan, S Sen Applications of Evolutionary Computation: 18th European Conference …, 2015 | 35 | 2015 |
| A cross-layer intrusion detection system for RPL-based Internet of Things E Canbalaban, S Sen Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad …, 2020 | 34 | 2020 |
| Updroid: Updated android malware and its familial classification K Aktas, S Sen Secure IT Systems: 23rd Nordic Conference, NordSec 2018, Oslo, Norway …, 2018 | 24 | 2018 |
| SAFEDroid: Using Structural Features for Detecting Android Malwares S Sen, AI Aysan, JA Clark | 24 | 2018 |
| On sampling strategies for small and continuous data with the modeling of genetic programming and adaptive neuro-fuzzy inference system S Sen, EA Sezer, C Gokceoglu, S Yagiz Journal of Intelligent and Fuzzy Systems 23 (6), 297-304, 2012 | 20 | 2012 |
John A. ClarkProfessor of Computer and Information Security, University of SheffieldVerified email at sheffield.ac.uk