Anton Kocheturov

According to our database, Anton Kocheturov authored at least 10 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering.

Shih-Yuan Yu, Yonatan Gizachew Achamyeleh, Chonghan Wang, Anton Kocheturov, Patrick Eisen, Mohammad Abdullah Al Faruque

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums.

Felipe Moreno Vera, Mateus Schulz Nogueira, Cainã Figueiredo, Daniel S. Menasché, Miguel Angelo Bicudo, Ashton Woiwood, Enrico Lovat, Anton Kocheturov, Leandro Pfleger de Aguiar

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

Patch or Exploit? NVD Assisted Classification of Vulnerability-Related GitHub Pages.

Lucas Miranda, Cainã Figueiredo, Daniel Sadoc Menasché, Anton Kocheturov

Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2023

2021

NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification.

Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl

Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

2020

Deep Reinforcement Learning for DER Cyber-Attack Mitigation.

Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams.

Mohammad Hossein Namaki, Xin Zhang, Sukhjinder Singh, Arman Ahmed, Armina Foroutan, Yinghui Wu, Anurag K. Srivastava, Anton Kocheturov

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Extended vertical lists for temporal pattern mining from multivariate time series.

Anton Kocheturov, Petar Momcilovic, Azra Bihorac, Panos M. Pardalos

Expert Syst. J. Knowl. Eng., 2019

Preface: Computational biomedicine.

Anton Kocheturov, Panos M. Pardalos, George Michailidis

Ann. Oper. Res., 2019

Massive datasets and machine learning for computational biomedicine: trends and challenges.

Anton Kocheturov, Panos M. Pardalos, Athanasia Karakitsiou

Ann. Oper. Res., 2019

2015

Data Science for Massive Networks.

Anton Kocheturov, Panos M. Pardalos

Proceedings of the Information Retrieval, 2015