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Mikhail Zolotukhin
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2020 – today
- 2023
- [j3]Mikhail Zolotukhin
, Di Zhang, Timo Hämäläinen, Parsa Miraghaei:
On Attacking Future 5G Networks with Adversarial Examples: Survey. Network 3(1): 39-90 (2023) - 2022
- [j2]Mikhail Zolotukhin
On Assessing Vulnerabilities of the 5G Networks to Adversarial Examples. IEEE Access 10: 126285-126303 (2022) - [c30]Mikhail Zolotukhin, Parsa Miraghaei, Di Zhang, Timo Hämäläinen, Wang Ke, Marja Dunderfelt:
Black-box Adversarial Examples against Intelligent Beamforming in 5G Networks. CSCN 2022: 64-70 - 2021
- [c29]Mikhail Zolotukhin, Pyry Kotilainen, Timo Hämäläinen
Intelligent IDS Chaining for Network Attack Mitigation in SDN. MSN 2021: 786-791 - [c28]Mikhail Zolotukhin, Timo Hämäläinen
Curious SDN for network attack mitigation. QRS Companion 2021: 630-635 - 2020
- [c27]Olli Väänänen
Linear Approximation Based Compression Algorithms Efficiency to Compress Environmental Data Sets. AINA Workshops 2020: 110-121 - [c26]Mikhail Zolotukhin, Sanjay Kumar, Timo Hämäläinen
Reinforcement Learning for Attack Mitigation in SDN-enabled Networks. NetSoft 2020: 282-286
2010 – 2019
- 2018
- [j1]Mikhail Zolotukhin
On optimal deployment of low power nodes for high frequency next generation wireless systems. Comput. Networks 144: 120-140 (2018) - [c25]Mikhail Zolotukhin, Timo Hämäläinen
On Artificial Intelligent Malware Tolerant Networking for IoT. NFV-SDN 2018: 1-6 - 2017
- [c24]Alexander Sayenko, Mikhail Zolotukhin, Timo Hämäläinen
Simulation and performance analysis of frame structures for multi-hop relay systems. CSCN 2017: 144-150 - [c23]Alexander Sayenko, Mikhail Zolotukhin, Timo Hämäläinen
Multi-hop relays for high frequency next generation wireless systems. ICT 2017: 1-7 - [c22]Mikhail Zolotukhin, Elena Ivannikova, Timo Hämäläinen
On Detection of Network-Based Co-residence Verification Attacks in SDN-Driven Clouds. NEW2AN 2017: 235-246 - [c21]Elena Ivannikova, Mikhail Zolotukhin, Timo Hämäläinen
Probabilistic Transition-Based Approach for Detecting Application-Layer DDoS Attacks in Encrypted Software-Defined Networks. NSS 2017: 531-543 - 2016
- [c20]Mikhail Zolotukhin, Timo Hämäläinen
Increasing web service availability by detecting application-layer DDoS attacks in encrypted traffic. ICT 2016: 1-6 - [c19]Alexander Sayenko, Mikhail Zolotukhin, Timo Hämäläinen
On adaptive access and relay link resource allocation for in-band deployments. ISWCS 2016: 92-98 - [c18]Mikhail Zolotukhin, Tero Kokkonen, Timo Hämäläinen
Weighted Fuzzy Clustering for Online Detection of Application DDoS Attacks in Encrypted Network Traffic. NEW2AN 2016: 326-338 - [c17]Alexander Sayenko, Mikhail Zolotukhin, Timo Hämäläinen
On optimal placement of low power nodes for improved performance in heterogeneous networks. NOMS 2016: 349-357 - 2015
- [c16]Di Zhang, Zheng Chang
Energy efficient resource allocation in heterogeneous software defined network: A reverse combinatorial auction approach. ICCC 2015: 1-6 - [c15]Tero Kokkonen, Timo Hämäläinen
Analysis of Approaches to Internet Traffic Generation for Cyber Security Research and Exercise. NEW2AN 2015: 254-267 - [c14]Mikhail Zolotukhin, Timo Hämäläinen
Data Mining Approach for Detection of DDoS Attacks Utilizing SSL/TLS Protocol. NEW2AN 2015: 274-285 - [c13]Mikhail Zolotukhin, Timo Hämäläinen
Online detection of anomalous network flows with soft clustering. NTMS 2015: 1-5 - 2014
- [c12]Mikhail Zolotukhin, Timo Hämäläinen
Detection of zero-day malware based on the analysis of opcode sequences. CCNC 2014: 386-391 - [c11]Mikhail Zolotukhin, Timo Hämäläinen
Analysis of HTTP Requests for Anomaly Detection of Web Attacks. DASC 2014: 406-411 - [c10]Mikhail Zolotukhin, Alexander Sayenko, Timo Hämäläinen
On optimal relay placement for improved performance in non-coverage limited scenarios. MSWiM 2014: 127-135 - 2013
- [c9]Mikhail Zolotukhin, Timo Hämäläinen
Support vector machine integrated with game-theoretic approach and genetic algorithm for the detection and classification of malware. GLOBECOM Workshops 2013: 211-216 - [c8]Mikhail Zolotukhin, Timo Hämäläinen
Detection of Anomalous HTTP Requests Based on Advanced N-gram Model and Clustering Techniques. NEW2AN 2013: 371-382 - 2012
- [c7]Mikhail Zolotukhin, Timo Hämäläinen
Online anomaly detection by using N-gram model and growing hierarchical self-organizing maps. IWCMC 2012: 47-52 - [c6]Aleksandr Puchko, Mikhail Zolotukhin, Vesa P. Hytönen, Thomas Höhne, Thomas Chapman:
Phase Adjustment in HS-SFN for HSDPA. NTMS 2012: 1-5 - [c5]Mikhail Zolotukhin, Timo Hämäläinen
A Relay Deployment Mechanism for One Scenario of Cost-Effective Coverage Extension in IEEE 802.16j Networks. NTMS 2012: 1-6 - [c4]Mikhail Zolotukhin, Timo Hämäläinen
Growing Hierarchical Self-organizing Maps and Statistical Distribution Models for Online Detection of Web Attacks. WEBIST (Selected Papers) 2012: 281-295 - [c3]Mikhail Zolotukhin, Timo Hämäläinen, Antti Juvonen:
Growing Hierarchical Self-organising Maps for Online Anomaly Detection by using Network Logs. WEBIST 2012: 633-642 - 2011
- [c2]Mikhail Zolotukhin, Vesa P. Hytönen, Timo Hämäläinen
Optimal Relays Deployment for 802.16j Networks. MONAMI 2011: 31-45 - [c1]Oleksandr Puchko, Mikhail Zolotukhin, Vesa P. Hytönen, Thomas Höhne, Thomas Chapman:
Enhanced LMMSE equalizer for high-speed single frequency network in HSDPA. Swe-CTW 2011: 92-97
Coauthor Index
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