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ORCIDRisto Vaarandi
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2020 – today
- 2024
[j4]Risto Vaarandi, Alejandro Guerra-Manzanares
:
Stream clustering guided supervised learning for classifying NIDS alerts. Future Gener. Comput. Syst. 155: 231-244 (2024)- [j3]Risto Vaarandi, Alejandro Guerra-Manzanares:
Network IDS alert classification with active learning techniques. J. Inf. Secur. Appl. 81: 103687 (2024) - [c19]Gabor Visky, Aleksei Siganov, Muaan ur Rehman, Risto Vaarandi, Hayretdin Bahsi, Leonidas Tsiopoulos:
Hybrid Cybersecurity Research and Education Environment for Maritime Sector. CSR 2024: 644-651 - [c18]Gabor Visky, Adam Balint, Risto Vaarandi, Mauno Pihelgas, Olaf Maennel:
Open Source Intrusion Detection Systems' Performance Analysis Under Resource Constraints. SISY 2024: 201-208 - [i1]Risto Vaarandi, Hayretdin Bahsi:
Using Large Language Models for Template Detection from Security Event Logs. CoRR abs/2409.05045 (2024) - 2023
- [j2]Seyed Mohammad Hadi Mirsadeghi, Hayretdin Bahsi, Risto Vaarandi, Wissem Inoubli:
Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking. IEEE Access 11: 140428-140442 (2023) - [c17]Orkhan Gasimov, Risto Vaarandi, Mauno Pihelgas:
Comparative Analysis of Pattern Mining Algorithms for Event Logs. CSR 2023: 1-7 - 2022
- [c16]Risto Vaarandi, Sten Mäses:
How to Build a SOC on a Budget. CSR 2022: 171-177 - 2021
- [c15]Risto Vaarandi:
A Stream Clustering Algorithm for Classifying Network IDS Alerts. CSR 2021: 14-19
2010 – 2019
- 2018
- [c14]Risto Vaarandi, Bernhards Blumbergs, Markus Kont:
An unsupervised framework for detecting anomalous messages from syslog log files. NOMS 2018: 1-6 - 2017
- [c13]Chen Zhuge, Risto Vaarandi:
Efficient Event Log Mining with LogClusterC. BigDataSecurity/HPSC/IDS 2017: 261-266 - [c12]Bernhards Blumbergs, Risto Vaarandi:
Bbuzz: A bit-aware fuzzing framework for network protocol systematic reverse engineering and analysis. MILCOM 2017: 707-712 - 2016
- [c11]Risto Vaarandi, Markus Kont, Mauno Pihelgas:
Event log analysis with the LogCluster tool. MILCOM 2016: 982-987 - [c10]Bernhards Blumbergs, Mauno Pihelgas, Markus Kont, Olaf Maennel, Risto Vaarandi:
Creating and Detecting IPv6 Transition Mechanism-Based Information Exfiltration Covert Channels. NordSec 2016: 85-100 - 2015
- [c9]Risto Vaarandi, Mauno Pihelgas:
LogCluster - A data clustering and pattern mining algorithm for event logs. CNSM 2015: 1-7 - [c8]Risto Vaarandi, Bernhards Blumbergs, Emin Çaliskan:
Simple event correlator - Best practices for creating scalable configurations. CogSIMA 2015: 96-100 - 2014
- [c7]Risto Vaarandi, Mauno Pihelgas:
Using Security Logs for Collecting and Reporting Technical Security Metrics. MILCOM 2014: 294-299 - 2013
- [c6]Risto Vaarandi:
Detecting anomalous network traffic in organizational private networks. CogSIMA 2013: 285-292 - 2010
- [c5]Risto Vaarandi, Karlis Podins:
Network IDS alert classification with frequent itemset mining and data clustering. CNSM 2010: 451-456
2000 – 2009
- 2008
- [c4]Risto Vaarandi:
Mining event logs with SLCT and LogHound. NOMS 2008: 1071-1074 - 2004
- [c3]Risto Vaarandi:
A Breadth-First Algorithm for Mining Frequent Patterns from Event Logs. INTELLCOMM 2004: 293-308 - 2003
- [c2]Risto Vaarandi:
A Clustering Algorithm for Logfile Data Sets. SPLST 2003: 152-162 - 2002
- [j1]Risto Vaarandi:
Platform Independent Tool for Local Event Correlation. Acta Cybern. 15(4): 705-723 (2002) - [c1]Risto Vaarandi:
Platform independent event correlation tool for network management. NOMS 2002: 907-909
Coauthor Index
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