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Maxim Kolomeets
Person information
- affiliation: Newcastle University, Newcastle Upon Tyne, UK
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2020 – today
- 2024
- [j10]Maxim Kolomeets
, Olga Tushkanova
Experimental Evaluation: Can Humans Recognise Social Media Bots? Big Data Cogn. Comput. 8(3): 24 (2024) - [c15]Andrey Chechulin
From Detection to Dissection: Unraveling Bot Characteristics in the VKontakte Social Network. COMSNETS 2024: 159-164 - 2023
- [j9]Shola Olabode
Complex online harms and the smart home: A scoping review. Future Gener. Comput. Syst. 149: 664-678 (2023) - [j8]Maxim Kolomeets
Graph Visualization: Alternative Models Inspired by Bioinformatics. Sensors 23(7): 3747 (2023) - [j7]Maxim Kolomeets
Social bot metrics. Soc. Netw. Anal. Min. 13(1): 36 (2023) - 2022
- [c14]Maxim Kolomeets
Technique for Investigating Attacks on a Company's Reputation on a Social Media Platform. IDC 2022: 234-243 - 2021
- [j6]Maxim Kolomeets
Bot detection by friends graph in social networks. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 12(2): 141-159 (2021) - [c13]Elena Doynikova
Security Measuring System for IoT Devices. CyberICPS/SECPRE/ADIoT/SPOSE/CPS4CIP/CDT&SECOMANE@ESORICS 2021: 256-275 - [c12]Maxim Kolomeets
Analysis of the Malicious Bots Market. FRUCT 2021: 199-205 - [c11]Maxim Kolomeets
Camouflaged bot detection using the friend list. PDP 2021: 253-259 - 2020
- [c10]Maxim Kolomeets
Augmented reality for visualizing security data for cybernetic and cyberphysical systems. PDP 2020: 421-428
2010 – 2019
- 2019
- [j5]Maxim Kolomeets
Social networks analysis by graph algorithms on the example of the VKontakte social network. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 10(2): 55-75 (2019) - [j4]Maxim Kolomeets
Reference architecture for social networks graph analysis. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 10(4): 109-125 (2019) - [c9]Lidia Vitkova
Approach to Identification and Analysis of Information Sources in Social Networks. IDC 2019: 285-293 - [c8]Ksenia Zhernova
Adaptive Touch Interface: Application for Mobile Internet Security. MobiSec 2019: 53-72 - [c7]Maxim Kolomeets
Access Control Visualization Using Triangular Matrices. PDP 2019: 348-355 - 2018
- [j3]Igor V. Kotenko, Maxim Kolomeets, Andrey Chechulin, Yannick Chevalier:
A visual analytics approach for the cyber forensics based on different views of the network traffic. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 9(2): 57-73 (2018) - [c6]Ivo Berger
Comparative Study of Machine Learning Methods for In-Vehicle Intrusion Detection. CyberICPS/SECPRE@ESORICS 2018: 85-101 - [c5]Maxim Kolomeets
Visual analysis of CAN bus traffic injection using radial bar charts. ICPS 2018: 841-846 - 2017
- [c4]Maxim Kolomeec
Choosing Models for Security Metrics Visualization. MMM-ACNS 2017: 75-87 - [c3]Maxim Kolomeets
Voronoi Maps for Planar Sensor Networks Visualization. MobiSec 2017: 96-109 - 2016
- [j2]Maxim Kolomeec, Andrey Chechulin, Anton Pronoza, Igor V. Kotenko:
Technique of Data Visualization: Example of Network Topology Display for Security Monitoring. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 7(1): 58-78 (2016) - [c2]Maxim Kolomeets
Visualization Model for Monitoring of Computer Networks Security Based on the Analogue of Voronoi Diagrams. CD-ARES 2016: 141-157 - [c1]Vasily Desnitsky
Application of a Technique for Secure Embedded Device Design Based on Combining Security Components for Creation of a Perimeter Protection System. PDP 2016: 609-616 - 2015
- [j1]Maxim Kolomeec, Andrey Chechulin, Igor V. Kotenko:
Methodological Primitives for Phased Construction of Data Visualization Models. J. Internet Serv. Inf. Secur. 5(4): 60-84 (2015)
Coauthor Index
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