A dynamic malware analyzer against virtual machine aware malicious software. - Abdurrahman Pektas; Tankut Acarman (Secur. Commun. Networks, 2014)

Runtime-behavior based malware classification using online machine learning. - Abdurrahman Pektas; Tankut Acarman; Yliès Falcone; Jean-Claude Fernandez (WorldCIS, 2015)

Classification des logiciels malveillants basée sur le comportement à l'aide de l'apprentissage automatique en ligne. (Behavior based malware classification using online machine learning). - Abdurrahman Pektas (2015)

Android Malware Classification by Applying Online Machine Learning. - Abdurrahman Pektas; Mahmut Çavdar; Tankut Acarman (ISCIS, 2016)

Ensemble Machine Learning Approach for Android Malware Classification Using Hybrid Features. - Abdurrahman Pektas; Tankut Acarman (CORES, 2017)

Portable Dynamic Malware Analysis with an Improved Scalability and Automatisation. - Abdurrahman Pektas; Tankut Acarman (CORES, 2017)

Identification of Application in Encrypted Traffic by Using Machine Learning. - Abdurrahman Pektas; Tankut Acarman (ICMMI, 2017)

Classification of malware families based on runtime behaviors. - Abdurrahman Pektas; Tankut Acarman (J. Inf. Secur. Appl., 2017)

Malware classification based on API calls and behaviour analysis. - Abdurrahman Pektas; Tankut Acarman (IET Inf. Secur., 2018)

Botnet detection based on network flow summary and deep learning. - Abdurrahman Pektas; Tankut Acarman (Int. J. Netw. Manag., 2018)

HoneyThing: A New Honeypot Design for CPE Devices. - Ömer Erdem; Abdurrahman Pektas; Mehmet Kara (KSII Trans. Internet Inf. Syst., 2018)

A deep learning method to detect network intrusion through flow-based features. - Abdurrahman Pektas; Tankut Acarman (Int. J. Netw. Manag., 2019)

Deep learning to detect botnet via network flow summaries. - Abdurrahman Pektas; Tankut Acarman (Neural Comput. Appl., 2019)

Learning to detect Android malware via opcode sequences. - Abdurrahman Pektas; Tankut Acarman (Neurocomputing, 2020)

Deep learning for effective Android malware detection using API call graph embeddings. - Abdurrahman Pektas; Tankut Acarman (Soft Comput., 2020)