Abdurrahman Pektas

15 papers Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Deep learning for effective Android malware detection using API call graph embeddings. Soft Comput. Abdurrahman Pektas, Tankut Acarman
2020	J	`jnl`	Learning to detect Android malware via opcode sequences. Neurocomputing Abdurrahman Pektas, Tankut Acarman
2019	J	`jnl`	A deep learning method to detect network intrusion through flow-based features. Int. J. Netw. Manag. Abdurrahman Pektas, Tankut Acarman
2019	J	`jnl`	Deep learning to detect botnet via network flow summaries. Neural Comput. Appl. Abdurrahman Pektas, Tankut Acarman
2018	J	`jnl`	Botnet detection based on network flow summary and deep learning. Int. J. Netw. Manag. Abdurrahman Pektas, Tankut Acarman
2018	J	`jnl`	HoneyThing: A New Honeypot Design for CPE Devices. KSII Trans. Internet Inf. Syst. Ömer Erdem, Abdurrahman Pektas, Mehmet Kara
2018	J	`jnl`	Malware classification based on API calls and behaviour analysis. IET Inf. Secur. Abdurrahman Pektas, Tankut Acarman
2017	J	`jnl`	Classification of malware families based on runtime behaviors. J. Inf. Secur. Appl. Abdurrahman Pektas, Tankut Acarman
2017	—	`conf`	Ensemble Machine Learning Approach for Android Malware Classification Using Hybrid Features. CORES Abdurrahman Pektas, Tankut Acarman
2017	—	`conf`	Identification of Application in Encrypted Traffic by Using Machine Learning. ICMMI Abdurrahman Pektas, Tankut Acarman
2017	—	`conf`	Portable Dynamic Malware Analysis with an Improved Scalability and Automatisation. CORES Abdurrahman Pektas, Tankut Acarman
2016	—	`conf`	Android Malware Classification by Applying Online Machine Learning. ISCIS Abdurrahman Pektas, Mahmut Çavdar, Tankut Acarman
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	—	`conf`	Runtime-behavior based malware classification using online machine learning. WorldCIS Abdurrahman Pektas, Tankut Acarman, Yliès Falcone, Jean-Claude Fernandez
2014	J	`jnl`	A dynamic malware analyzer against virtual machine aware malicious software. Secur. Commun. Networks Abdurrahman Pektas, Tankut Acarman

2025 Best paper conf

Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.

CheckMATE

Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda

2026 Best paper preprint

ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.

arXiv

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski