Flying ad-hoc networks (FANETs): A survey I Bekmezci, OK Sahingoz, Ş Temel Ad Hoc Networks 11 (3), 1254-1270, 2013 | 1696 | 2013 |
Machine learning based phishing detection from URLs OK Sahingoz, E Buber, O Demir, B Diri Expert Systems with Applications 117, 345-357, 2019 | 638 | 2019 |
Networking models in flying ad-hoc networks (FANETs): Concepts and challenges OK Sahingoz Journal of Intelligent & Robotic Systems 74, 513-527, 2014 | 499 | 2014 |
Increasing the performance of machine learning-based IDSs on an imbalanced and up-to-date dataset G Karatas, O Demir, OK Sahingoz IEEE access 8, 32150-32162, 2020 | 248 | 2020 |
A survey of intrusion detection systems in wireless sensor networks O Can, OK Sahingoz 2015 6th international conference on modeling, simulation, and applied …, 2015 | 160 | 2015 |
Deep learning in intrusion detection systems G Karatas, O Demir, OK Sahingoz 2018 International Congress on Big Data, Deep Learning and Fighting Cyber …, 2018 | 154 | 2018 |
Mobile networking with UAVs: Opportunities and challenges OK Sahingoz 2013 International Conference on Unmanned Aircraft Systems (ICUAS), 933-941, 2013 | 135 | 2013 |
Generation of bezier curve-based flyable trajectories for multi-UAV systems with parallel genetic algorithm OK Sahingoz Journal of Intelligent & Robotic Systems 74, 499-511, 2014 | 128 | 2014 |
Multi colony ant optimization for UAV path planning with obstacle avoidance U Cekmez, M Ozsiginan, OK Sahingoz 2016 international conference on unmanned aircraft systems (ICUAS), 47-52, 2016 | 105 | 2016 |
A UAV path planning with parallel ACO algorithm on CUDA platform U Cekmez, M Ozsiginan, OK Sahingoz 2014 International Conference on Unmanned Aircraft Systems (ICUAS), 347-354, 2014 | 90 | 2014 |
Large scale wireless sensor networks with multi-level dynamic key management scheme OK Sahingoz Journal of Systems Architecture 59 (9), 801-807, 2013 | 87 | 2013 |
Detection of phishing websites by using machine learning-based URL analysis M Korkmaz, OK Sahingoz, B Diri 2020 11th International Conference on Computing, Communication and …, 2020 | 84 | 2020 |
Neural network based intrusion detection systems with different training functions G Karatas, OK Sahingoz 2018 6th International Symposium on Digital Forensic and Security (ISDFS), 1-6, 2018 | 75 | 2018 |
Feature selections for the machine learning based detection of phishing websites E Buber, Ö Demir, OK Sahingoz 2017 international artificial intelligence and data processing symposium …, 2017 | 75 | 2017 |
Optimal UAV path planning in a 3D threat environment by using parallel evolutionary algorithms N Özalp, OK Sahingoz 2013 International conference on unmanned aircraft systems (ICUAS), 308-317, 2013 | 66 | 2013 |
Flyable path planning for a multi-UAV system with Genetic Algorithms and Bezier curves OK Sahingoz 2013 International Conference on Unmanned Aircraft Systems (ICUAS), 41-48, 2013 | 62 | 2013 |
2D path planning for UAVs in radar threatening environment using simulated annealing algorithm T Turker, OK Sahingoz, G Yilmaz 2015 international conference on unmanned aircraft systems (ICUAS), 56-61, 2015 | 59 | 2015 |
Detecting phishing attacks from URL by using NLP techniques E Buber, B Diri, OK Sahingoz Computer Science and Engineering (UBMK), 2017 International Conference on …, 2017 | 57 | 2017 |
NLP based phishing attack detection from URLs E Buber, B Diri, OK Sahingoz Intelligent Systems Design and Applications: 17th International Conference …, 2018 | 55 | 2018 |
Attack types and intrusion detection systems in cloud computing U Oktay, OK Sahingoz Proceedings of the 6th International Information Security & Cryptology …, 2013 | 52 | 2013 |