Andrii Shalaginov

1

Andrii Shalaginov

Ph.D. started in: 2013
Expected year of graduation: 2017
COINS consortium member: Norwegian University of Science and Technology
Supervised by: Katrin Franke
Links: CristinGoogle Scholar
Research area: Digital Forensics
Project title: Application of soft computing for information security
Project description: The digital forensic has been influenced by large and complex data as a key factor of emerging new ICT. The size, the velocity, the variety and the complexity of the data has became so high that the classical data mining approaches are no more efficient for use in forensics data science. The forensics analysts experience difficulties in forensically sound Big Data processing due to lack of corresponding techniques. There are no unique solutions at the moment and approaches vary for a case to a case. To achieve multiple goals we propose to develop an application of nature-inspired Soft Computing paradigm in Digital Forensics. They are able provide explainable solution to computationally hard problems and reduce efforts for manual analysis and perception. Our objective is to apply the hybridization of the existing solutions, which can handle the major drawbacks of Soft Computing such that accuracy and computational time. The most important part of the work for us is to comply with needs for Dig Data analysis. It will provide insights into importance of explainable Big Data mining.

Publications:

  1. Lars Christian Andersen, Katrin Franke, Andrii Shalaginov (2016). Data-driven Approach to Information Sharing using Data Fusion and Machine Learning for Intrusion Detection
  2. Sergii Banin, Andrii Shalaginov, Katrin Franke (2016). Memory access patterns for malware detection
  3. Andrii Shalaginov (2016). Soft Computing and Hybrid Intelligence for Decision Support in Forensics Science
  4. Andrii Shalaginov, Katrin Franke (2016). Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness
  5. Andrii Shalaginov, Katrin Franke (2016). Intelligent generation of fuzzy rules for network firewalls based on the analysis of large-scale network traffic dumps
  6. Andrii Shalaginov, Katrin Franke (2016). Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy
  7. Andrii Shalaginov, Katrin Franke, Xiongwei Huang (2016). Malware Beaconing Detection by Mining Large-scale DNS Logs for Targeted Attack Identification
  8. Andrii Shalaginov, Lars Strande Grini, Katrin Franke (2016). Understanding Neuro-Fuzzy on a Class of Multinomial Malware Detection Problems
  9. Gaute Wangen, Andrii Shalaginov (2016). Quantitative Risk, Statistical Methods and the Four Quadrants for Information Security
  10. Gaute Wangen, Andrii Shalaginov, Christoffer V Hallstensen (2016). Cyber security risk assessment of a DDoS attack
  11. Andrii Shalaginov (2015). Application of Computational Intelligence for Digital Forensics
  12. Andrii Shalaginov (2015). Automated generation of the human-understandable rules from network traffic dumps
  13. Andrii Shalaginov, Katrin Franke (2015). A New Method for an Optimal SOM Size Determination in Neuro-Fuzzy for the Digital Forensics Applications
  14. Andrii Shalaginov, Katrin Franke (2015). A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection
  15. Andrii Shalaginov, Katrin Franke (2015). Automated generation of fuzzy rules from large-scale network traffic analysis in Digital Forensics Investigations
  16. Andrii Shalaginov, Katrin Franke (2015). Generation of the human-understandable fuzzy rules from large-scale datasets for Digital Forensics applications using Neuro-Fuzzy
  17. Andrii Shalaginov, Katrin Franke (2015). Towards Improvement of Multinomial Classification Accuracy of Neuro-Fuzzy for Digital Forensics Applications
  18. Andrii Shalaginov, Katrin Franke (2013). Automatic rule-mining for malware detection employing Neuro-Fuzzy Approach
Courses attended:
  1. IMT6003 COINS Summer School (NTNU), 3 ECTS, 2015
  2. IMT6004 COINS Workshop (NTNU), 1 ECTS, 2014
Partners visited:
  1. ENISA, Athens, Greece, 2015
Events attended with COINS funding:
  1. COINS Ph.D. student seminar, Bergen, Norway, 2016
  2. COINS Summer School on Authentication, Metochi, Greece, 2016
  3. NISK, Ålesund, Norway, 2015
  4. NordSec 2015, Stockholm, Sweden, 2015
  5. COINS Ph.D. student seminar, Stockholm, Sweden, 2015
  6. COINS Summer School on Cloud Security, Metochi, Greece, 2015
  7. COINS Ph.D. student seminar, Tromsø, Norway, 2014
  8. Resource-aware Machine Learning International Summer School, Dortmund, Germany, 2014
  9. CTF, hack.lu, online, 2014
  10. CyberCamp, Madrid, Spain, 2014
  11. CTF, hack.lu, online, 2013
  12. NISK, Stavanger, Norway, 2013
  13. COINS Ph.D. student seminar, Stavanger, Norway, 2013
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