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ORCIDMartin Husák
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2020 – today
- 2024
[j11]Sofiane Lagraa, Martin Husák, Hamida Seba, Satyanarayana Vuppala, Radu State, Moussa Ouedraogo:
A review on graph-based approaches for network security monitoring and botnet detection. Int. J. Inf. Sec. 23(1): 119-140 (2024)- [c36]Lukás Sadlek, Martin Husák, Pavel Celeda:
Identification of Device Dependencies Using Link Prediction. NOMS 2024: 1-10 - [i1]Lukás Sadlek, Martin Husák, Pavel Celeda:
Identification of Device Dependencies Using Link Prediction. CoRR abs/2407.03019 (2024) - 2023
- [j10]Martin Lastovicka
, Martin Husák, Petr Velan, Tomás Jirsík, Pavel Celeda:
Passive operating system fingerprinting revisited: Evaluation and current challenges. Comput. Networks 229: 109782 (2023) - [c35]Martin Husák, Joseph Khoury, Ðorde Klisura, Elias Bou-Harb:
On the Provision of Network-Wide Cyber Situational Awareness via Graph-Based Analytics. CCE 2023: 167-179 - [c34]Martin Husák, Michal Javorník:
Lightweight Impact Assessment and Projection of Lateral Movement and Malware Infection. CNS 2023: 1-6 - [c33]Martin Husák, Shanchieh Jay Yang, Joseph Khoury, Dorde Klisura, Elias Bou-Harb:
Unraveling Network-Based Pivoting Maneuvers: Empirical Insights and Challenges. ICDF2C (2) 2023: 132-151 - [c32]Vladimír Boucek, Martin Husák:
Recommending Similar Devices in Close Proximity for Network Security Management. WiMob 2023: 481-484 - 2022
- [j9]Martin Zádník, Jan Wrona, Karel Hynek, Tomás Cejka, Martin Husák:
Discovering Coordinated Groups of IP Addresses Through Temporal Correlation of Alerts. IEEE Access 10: 82799-82813 (2022) - [j8]Martin Husák, Lukás Sadlek, Stanislav Spacek, Martin Lastovicka, Michal Javorník, Jana Komárková:
CRUSOE: A toolset for cyber situational awareness and decision support in incident handling. Comput. Secur. 115: 102609 (2022) - [c31]Samuel Sulan, Martin Husák:
Limiting the Size of a Predictive Blacklist While Maintaining Sufficient Accuracy. ARES 2022: 22:1-22:6 - [c30]Martin Husák, Milan Cermák:
SoK: Applications and Challenges of using Recommender Systems in Cybersecurity Incident Handling and Response. ARES 2022: 25:1-25:10 - 2021
- [j7]Martin Husák, Václav Bartos, Pavol Sokol, Andrej Gajdos:
Predictive methods in cyber defense: Current experience and research challenges. Future Gener. Comput. Syst. 115: 517-530 (2021) - [c29]Martin Husák, Martin Lastovicka, Daniel Tovarnák:
System for Continuous Collection of Contextual Information for Network Security Management and Incident Handling. ARES 2021: 112:1-112:8 - [c28]Lukás Matta, Martin Husák:
A Dashboard for Cyber Situational Awareness and Decision Support in Network Security Management. IM 2021: 716-717 - [c27]Martin Husák, Giovanni Apruzzese, Shanchieh Jay Yang, Gordon Werner:
Towards an Efficient Detection of Pivoting Activity. IM 2021: 980-985 - [c26]Martin Husák:
Towards a Data-Driven Recommender System for Handling Ransomware and Similar Incidents. ISI 2021: 1-6 - 2020
- [j6]Martin Husák, Tomás Bajtos, Jaroslav Kaspar, Elias Bou-Harb, Pavel Celeda:
Predictive Cyber Situational Awareness and Personalized Blacklisting: A Sequential Rule Mining Approach. ACM Trans. Manag. Inf. Syst. 11(4): 19:1-19:16 (2020) - [c25]Martin Husák, Tomás Jirsík, Shanchieh Jay Yang:
SoK: contemporary issues and challenges to enable cyber situational awareness for network security. ARES 2020: 2:1-2:10 - [c24]Martin Husák, Pavel Celeda:
Predictions of Network Attacks in Collaborative Environment. NOMS 2020: 1-6 - [c23]Michal Javorník, Jana Komárková, Lukás Sadlek, Martin Husák:
Decision Support for Mission-Centric Network Security Management. NOMS 2020: 1-6 - [c22]Martin Lastovicka, Martin Husák, Lukás Sadlek:
Network Monitoring and Enumerating Vulnerabilities in Large Heterogeneous Networks. NOMS 2020: 1-6
2010 – 2019
- 2019
- [j5]Martin Husák, Jana Komárková, Elias Bou-Harb, Pavel Celeda:
Survey of Attack Projection, Prediction, and Forecasting in Cyber Security. IEEE Commun. Surv. Tutorials 21(1): 640-660 (2019) - [j4]Elias Bou-Harb, Martin Husák, Mourad Debbabi, Chadi Assi:
Big Data Sanitization and Cyber Situational Awareness: A Network Telescope Perspective. IEEE Trans. Big Data 5(4): 439-453 (2019) - [c21]Michal Javorník, Jana Komárková, Martin Husák:
Decision Support for Mission-Centric Cyber Defence. ARES 2019: 34:1-34:8 - [c20]Martin Horák, Václav Stupka, Martin Husák:
GDPR Compliance in Cybersecurity Software: A Case Study of DPIA in Information Sharing Platform. ARES 2019: 36:1-36:8 - [c19]Martin Husák, Jaroslav Kaspar:
AIDA Framework: Real-Time Correlation and Prediction of Intrusion Detection Alerts. ARES 2019: 81:1-81:8 - 2018
- [c18]Martin Husák, Nataliia Neshenko, Morteza Safaei Pour, Elias Bou-Harb, Pavel Celeda:
Assessing Internet-wide Cyber Situational Awareness of Critical Sectors. ARES 2018: 29:1-29:6 - [c17]Jana Komárková, Martin Husák, Martin Lastovicka, Daniel Tovarnák:
CRUSOE: Data Model for Cyber Situational Awareness. ARES 2018: 36:1-36:10 - [c16]Nataliia Neshenko, Martin Husák, Elias Bou-Harb, Pavel Celeda, Sameera Al-Mulla, Claude Fachkha:
Data-Driven Intelligence for Characterizing Internet-Scale IoT Exploitations. GLOBECOM Workshops 2018: 1-7 - [c15]Martin Husák, Jaroslav Kaspar:
Towards Predicting Cyber Attacks Using Information Exchange and Data Mining. IWCMC 2018: 536-541 - [c14]Petr Velan, Martin Husák, Daniel Tovarnák:
Rapid prototyping of flow-based detection methods using complex event processing. NOMS 2018: 1-3 - 2017
- [j3]Pavol Sokol, Jakub Mísek, Martin Husák:
Honeypots and honeynets: issues of privacy. EURASIP J. Inf. Secur. 2017: 4 (2017) - [c13]Martin Husák, Jaroslav Kaspar, Elias Bou-Harb, Pavel Celeda:
On the Sequential Pattern and Rule Mining in the Analysis of Cyber Security Alerts. ARES 2017: 22:1-22:10 - [c12]Václav Stupka, Martin Horák, Martin Husák:
Protection of personal data in security alert sharing platforms. ARES 2017: 65:1-65:8 - [c11]Jana Medková, Martin Husák, Martin Drasar:
Network defence strategy evaluation: Simulation vs. live network. IM 2017: 81-88 - [c10]Martin Husák, Milan Cermák, Martin Lastovicka, Jan Vykopal:
Exchanging security events: Which and how many alerts can we aggregate? IM 2017: 604-607 - [c9]Jana Medková, Martin Husák, Martin Vizváry, Pavel Celeda:
Honeypot testbed for network defence strategy evaluation. IM 2017: 887-888 - [c8]Martin Husák, Milan Cermák:
A graph-based representation of relations in network security alert sharing platforms. IM 2017: 891-892 - 2016
- [j2]Martin Husák, Milan Cermák, Tomás Jirsík, Pavel Celeda:
HTTPS traffic analysis and client identification using passive SSL/TLS fingerprinting. EURASIP J. Inf. Secur. 2016: 6 (2016) - 2015
- [c7]Martin Husák, Petr Velan, Jan Vykopal:
Security Monitoring of HTTP Traffic Using Extended Flows. ARES 2015: 258-265 - [c6]Martin Husák, Milan Cermák, Tomás Jirsík, Pavel Celeda:
Network-Based HTTPS Client Identification Using SSL/TLS Fingerprinting. ARES 2015: 389-396 - [c5]Pavol Sokol, Martin Husák, Frantiek Liptak:
Deploying Honeypots and Honeynets: Issue of Privacy. ARES 2015: 397-403 - [c4]Pavol Sokol, Lenka Kleinova, Martin Husák:
Study of attack using honeypots and honeynets lessons learned from time-oriented visualization. EUROCON 2015: 1-6 - 2014
- [c3]Martin Husák, Jakub Cegan:
PhiGARo: Automatic Phishing Detection and Incident Response Framework. ARES 2014: 295-302 - [c2]Tomás Jirsík, Martin Husák, Pavel Celeda, Zdenek Eichler:
Cloud-based security research testbed: A DDoS use case. NOMS 2014: 1-2 - 2013
- [c1]Martin Husák, Martin Vizváry:
Reflected attacks abusing honeypots. CCS 2013: 1449-1452
2000 – 2009
- 2008
- [j1]Martin Janosov, Martin Husák, Peter Farkas, Ana García Armada:
New [47, 15, 16] Linear Binary Block Code. IEEE Trans. Inf. Theory 54(1): 423-424 (2008)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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