Vasileios Mavroeidis

• Mavroeidis, Vasileios; Hohimer, Ryan; Casey, Tim & Jøsang, Audun (2021). Threat Actor Type Inference and Characterization within Cyber Threat Intelligence . I Jancarkova, Tatiana; Lindstrom, Lauri & Visky, Gabor (Red.), 2021 13th International Conference on Cyber Conflict: Going Viral . IEEE. ISSN 978-9916-9565-5-7. s. 335–360. doi: 10.23919/CyCon51939.2021.9468305.
• Mavroeidis, Vasileios & Brule, Joe (2020). A nonproprietary language for the command and control of cyber defenses – OpenC2. Computers & Security. ISSN 0167-4048. 97. doi: 10.1016/j.cose.2020.101999.
• Bisztray, Tamas; Gruschka, Nils; Mavroeidis, Vasileios & Fritsch, Lothar (2020). Data Protection Impact Assessment in Identity Control Management with a Focus on Biometrics. I Roßnagel, Heiko; Schunck, Christian H.; Mödersheim, Sebastian & Hühnlein, Detlef (Red.), Open Identity Summit 2020. Gesellschaft für Informatik. ISSN 978-3-88579-699-2. s. 185–192. doi: 10.18420/ois2020_17.
• Mavroeidis, Vasileios; Vishi, Kamer & Jøsang, Audun (2018). A framework for data-driven physical security and insider threat detection, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE conference proceedings. ISSN 978-1-5386-6051-5. s. 1108–1115. doi: 10.1109/ASONAM.2018.8508599.
• Mavroeidis, Vasileios & Jøsang, Audun (2018). Data-Driven Threat Hunting Using Sysmon. I Wang, Yulin (Red.), 2018 the 2nd International Conference on Cryptography, Security and Privacy . Association for Computing Machinery (ACM). ISSN 978-1-4503-6361-7. s. 82–88. doi: 10.1145/3199478.3199490.
• Gruschka, Nils; Mavroeidis, Vasileios; Vishi, Kamer & Jensen, Meiko (2018). Privacy Issues and Data Protection in Big Data: A Case Study Analysis under GDPR. I Abe, Naoki; Liu, Huan; Hu, Xiaohua; Ahmed, Nesreen; Qiao, Mu; Song, Yang; Kossmann, Donald; Liu, Bing; Lee, Kisung; Tang, Jiliang; He, Jingrui & Saltz, Jeffrey (Red.), 2018 IEEE International Conference on Big Data (Big Data), Seattle, 10-13 Dec. 2018. IEEE. ISSN 978-1-5386-5035-6. s. 5027–5033. doi: 10.1109/BigData.2018.8622621.
• Mavroeidis, Vasileios; Vishi, Kamer; Zych, Mateusz & Jøsang, Audun (2018). The impact of quantum computing on present cryptography. International Journal of Advanced Computer Science and Applications (IJACSA). ISSN 2158-107X. 9(3), s. 405–414. doi: 10.14569/IJACSA.2018.090354. Fulltekst i vitenarkiv
• Vishi, Kamer & Mavroeidis, Vasileios (2017). An Evaluation of Score Level Fusion Approaches for Fingerprint and Finger-vein Biometrics. Norsk Informasjonssikkerhetskonferanse (NISK). ISSN 1893-6563. 10(1), s. 111–122. Fulltekst i vitenarkiv
• Lison, Pierre & Mavroeidis, Vasileios (2017). Neural Reputation Models learned from Passive DNS data, IEEE Big Data 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2017. IEEE. ISSN 978-1-5386-2715-0. s. 3662–3671. doi: 10.1109/BigData.2017.8258361.
• Lison, Pierre & Mavroeidis, Vasileios (2017). Automatic Detection of Malware-Generated Domains with Recurrent Neural Models. Norsk Informasjonssikkerhetskonferanse (NISK). ISSN 1893-6563. Vis sammendrag

  Modern malware families often rely on domain-generation algorithms (DGAs) to determine rendezvous points to their command-and-control server. Traditional defence strategies (such as blacklisting domains or IP addresses) are inadequate against such techniques due to the large and continuously changing list of domains produced by these algorithms. This paper demonstrates that a machine learning approach based on recurrent neural networks is able to detect domain names generated by DGAs with high precision. The neural models are estimated on a large training set of domains generated by various malwares. Experimental results show that this data-driven approach can detect malware-generated domain names with a F1 score of 0.971. To put it differently, the model can automatically detect 93 % of malware-generated domain names for a false positive rate of 1:100.

• Mavroeidis, Vasileios & Bromander, Siri (2017). Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence. I Karampelas, Panagiotis & Brynielsson, Joel (Red.), Proceedings of European Intelligence and Security Informatics Conference (EISIC) 2017. IEEE conference proceedings. ISSN 978-1-5386-2385-5. doi: 10.1109/EISIC.2017.20.
• Mavroeidis, Vasileios & Mathew, Nicho (2017). Quick Response Code Secure: A Cryptographically Secure Anti-Phishing Tool for QR Code Attacks. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 10446, s. 313–324. doi: 10.1007/978-3-319-65127-9_25.

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• Mavroeidis, Vasileios & Brule, Joe (2020). A Nonproprietary Language for the Command and Control of CyberDefenses - OpenC2. Computers & Security. ISSN 0167-4048. doi: 10.1016/j.cose.2020.101999.
• Egiazarov, Alexander; Zennaro, Fabio Massimo & Mavroeidis, Vasileios (2020). Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End Solutions.
• Egiazarov, Alexander; Mavroeidis, Vasileios; Vishi, Kamer & Zennaro, Fabio Massimo (2019). Firearm Detection and Segmentation using an Ensemble of Semantic Neural Networks.
• Mavroeidis, Vasileios (2021). Towards automated threat-informed cyberspace defense. Universitetet i Oslo. ISSN 1501-7710.

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