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Tomas Sochor
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2020 – today
- 2024
- [c26]Dmytro Denysiuk, Tomas Sochor, Mariia Kapustian, Antonina Kashtalian, Andriy Drozd:
A method for detecting botnets in IT infrastructure using a neural network. ICyberPhyS 2024: 282-292 - [c25]Maksym Yu. Chaikovskyi, Inna I. Chaikovska, Tomas Sochor, Inna Martyniuk, Oleksii Lyhun:
Comprehensive approach to the detection and analysis of polymorphic malware. ICyberPhyS 2024: 312-323 - [c24]Dmytro Denysiuk, Tomas Sochor, Mariia Kapustian, Antonina Kashtalian, Oleg Savenko:
Methods for Detecting Software Implants in Corporate Networks. IntelITSIS 2024: 270-284 - 2023
- [c23]Denys Liubinetskyi, Antonina Kashtalian, Tomas Sochor, Andrii Selskyi, Olexandr Klein:
Distributed System for Predicting Malicious Activity in Computer Networks. IntelITSIS 2023: 401-410 - [c22]Pavlo Rehida, Tomas Sochor, Valeriy Martynyuk, Olha Tarasova, Viktoriia Orlenko:
A distributed malware detection model based on sandbox technology. IntelITSIS 2023: 475-485 - 2022
- [c21]Bohdan Savenko, Antonina Kashtalian, Tomas Sochor, Andrii Nicheporuk:
Self-organized distributed anomaly detection system in computer systems based on the principal components method. IntelITSIS 2022: 329-351 - [c20]Dmytro Denysiuk, Tomas Sochor, Mariia Kapustian:
Proof of stake and Proof of work approach for malware detection technologies. IntelITSIS 2022: 432-441 - 2021
- [c19]Sergii Lysenko, Kira Bobrovnikova, Piotr Gaj, Tomas Sochor, Iryna Forkun:
Resilient Computer Systems Development for Cyberattacks Resistance. IntelITSIS 2021: 353-361 - [c18]Antonina Kashtalian, Tomas Sochor:
K-means Clustering of Honeynet Data with Unsupervised Representation Learning. IntelITSIS 2021: 439-449 - 2020
- [c17]Tomas Sochor:
Detection Efficiency Improvement in Multi-component Anti-spam Systems. CN 2020: 91-100
2010 – 2019
- 2019
- [j1]Matej Zuzcák, Tomas Sochor, Milan Zenka:
Intrusion Detection System for Home Windows based Computers. KSII Trans. Internet Inf. Syst. 13(9): 4706-4726 (2019) - 2017
- [c16]Matej Zuzcak, Tomas Sochor:
Behavioral Analysis of Bot Activity in Infected Systems Using Honeypots. CN 2017: 118-133 - 2016
- [c15]Tomas Sochor, Matej Zuzcak:
High-Interaction Linux Honeypot Architecture in Recent Perspective. CN 2016: 118-131 - [c14]Tomas Sochor, Tomas Gatek:
Ad-Hoc Routing Protocols Comparison Using Open-Source Simulation Tool. CSOC (2) 2016: 425-433 - [c13]Tomas Sochor, Matej Zuzcak, Petr Bujok:
Statistical analysis of attacking autonomous systems. Cyber Security And Protection Of Digital Services 2016: 1-6 - [c12]Tomas Sochor, Matej Zuzcak, Petr Bujok:
Analysis of attackers against windows emulating honeypots in various types of networks and regions. ICUFN 2016: 863-868 - 2015
- [c11]Tomas Sochor, Matej Zuzcak:
Attractiveness Study of Honeypots and Honeynets in Internet Threat Detection. CN 2015: 69-81 - [c10]Pavol Sokol, Matej Zuzcak, Tomas Sochor:
Definition of Attack in Context of High Level Interaction Honeypots. CSOC (2) 2015: 155-164 - 2014
- [c9]Tomas Sochor, Matej Zuzcak:
Study of Internet Threats and Attack Methods Using Honeypots and Honeynets. CN 2014: 118-127 - [c8]Tomas Sochor:
Overview of e-mail SPAM elimination and its efficiency. RCIS 2014: 1-11 - 2013
- [c7]Tomas Sochor:
Onion Routing Efficiency for Web Anonymization in Various Configurations. CN 2013: 136-145 - [c6]Tomas Sochor, Alzbeta Davidova:
Potential of multilevel SPAM protection in the light of current SPAM trends. ICNSC 2013: 237-241 - 2012
- [c5]Tomas Sochor:
Anonymization of Web Client Traffic Efficiency Study. CN 2012: 237-246 - 2011
- [c4]Tomas Liska, Tomas Sochor, Hana Sochorová:
Comparison between normal and TOR-anonymized web client traffic. WCIT 2011: 888-892 - [c3]Tomas Sochor:
Efficiency comparison of greylisting at several SMTP servers. WCIT 2011: 930-934
2000 – 2009
- 2009
- [c2]Tomas Sochor:
Greylisting - long term analysis of anti-SPAM effect. CRiSIS 2009: 98-104 - 2008
- [c1]Tomas Sochor:
Greylisting method analysis in real SMTP server environment - Case-study. SCSS (1) 2008: 423-427
Coauthor Index
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last updated on 2024-11-04 21:38 CET by the dblp team
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