| A comprehensive review on malware detection approaches Ö Aslan, R Samet IEEE Access 8, 6249-6271, 2020 | 475 | 2020 |
| A comprehensive review of cyber security vulnerabilities, threats, attacks, and solutions Ö Aslan, SS Aktuğ, M Ozkan-Okay, AA Yilmaz, E Akin Electronics 12 (6), 1333, 2023 | 133 | 2023 |
| A new malware classification framework based on deep learning algorithms Ö Aslan, AA Yilmaz Ieee Access 9, 87936-87951, 2021 | 128 | 2021 |
| A comprehensive systematic literature review on intrusion detection systems M Ozkan-Okay, R Samet, Ö Aslan, D Gupta IEEE Access 9, 157727-157760, 2021 | 74 | 2021 |
| Investigation of possibilities to detect malware using existing tools Ö Aslan, R Samet 2017 IEEE/ACS 14th International Conference on Computer Systems and …, 2017 | 72 | 2017 |
| Intelligent behavior-based malware detection system on cloud computing environment Ö Aslan, M Ozkan-Okay, D Gupta IEEE Access 9, 83252-83271, 2021 | 63 | 2021 |
| A review of cloud-based malware detection system: Opportunities, advances and challenges Ö Aslan, M Ozkan-Okay, D Gupta European Journal of Engineering and Technology Research 6 (3), 1-8, 2021 | 29 | 2021 |
| Mitigating cyber security attacks by being aware of vulnerabilities and bugs Ö Aslan, R Samet 2017 international conference on cyberworlds (cw), 222-225, 2017 | 29 | 2017 |
| Using a subtractive center behavioral model to detect malware Ö Aslan, R Samet, ÖÖ Tanrıöver Security and Communication Networks 2020 (1), 7501894, 2020 | 28 | 2020 |
| Performance comparison of static malware analysis tools versus antivirus scanners to detect malware Ö Aslan International Multidisciplinary Studies Congress (IMSC), 2017 | 20 | 2017 |
| Development of a scale to measure cybercrime-awareness on social media I Arpaci, O Aslan Journal of Computer Information Systems 63 (3), 695-705, 2023 | 13 | 2023 |
| SABADT: Hybrid intrusion detection approach for cyber attacks identification in WLAN M Ozkan-Okay, Ö Aslan, R Eryigit, R Samet IEEE Access 9, 157639-157653, 2021 | 10 | 2021 |
| A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions M Ozkan-Ozay, E Akin, Ö Aslan, S Kosunalp, T Iliev, I Stoyanov, I Beloev IEEE Access, 2024 | 9 | 2024 |
| A novel feature selection approach to classify intrusion attacks in network communications M Ozkan-Okay, R Samet, Ö Aslan, S Kosunalp, T Iliev, I Stoyanov Applied Sciences 13 (19), 11067, 2023 | 6 | 2023 |
| A new feature selection approach and classification technique for current intrusion detection system M Ozkan-Okay, R Samet, Ö Aslan 2021 6th International Conference on Computer Science and Engineering (UBMK …, 2021 | 6 | 2021 |
| A Methodology to Detect Distributed Denial of Service Attacks Ö ASLAN Bilişim Teknolojileri Dergisi 15 (2), 149-158, 2022 | 5 | 2022 |
| How to decrease cyber threats by reducing software vulnerabilities and bugs Ö Aslan 1st IMSEC, 639–646, 2016 | 5 | 2016 |
| Using machine learning techniques to detect attacks in computer networks Ö Aslan Aegean Summit 4th International Applied Sciences Congress, 2022 | 3 | 2022 |
| Ransomware Detection in Cyber Security Domain Ö ASLAN Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 11 (2), 509-519, 2022 | 3 | 2022 |
| Separating Malicious from Benign Software Using Deep Learning Algorithm Ö Aslan Electronics 12 (8), 1861, 2023 | 2 | 2023 |
