• Correlating High- and Low-Level Features: Increased Understanding of Malware Classification 

      Banin, Sergii; Dyrkolbotn, Geir Olav (Journal article; Peer reviewed, 2019)
      Malware brings constant threats to the services and facilities used by modern society. In order to perform and improve anti-malware defense, there is a need for methods that are capable of malware categorization. As malware ...
    • Detection of Previously Unseen Malware using Memory Access Patterns Recorded Before the Entry Point 

      Banin, Sergii; Dyrkolbotn, Geir Olav (Chapter, 2021)
      Recently it has been shown, that it is possible to detect malware based on the memory access patterns produced before executions reaches its Entry Point. In this paper, we investigate the usefulness of memory access patterns ...
    • Detection of Running Malware Before it Becomes Malicious 

      Banin, Sergii; Dyrkolbotn, Geir Olav (Peer reviewed; Journal article, 2020)
      As more vulnerabilities are being discovered every year [17], malware constantly evolves forcing improvements and updates of security and malware detection mechanisms. Malware is used directly on the attacked systems, thus ...
    • Fast and Straightforward Feature Selection Method: A Case of High-Dimensional Low Sample Size Dataset in Malware Analysis 

      Banin, Sergii (Chapter, 2021)
      Malware analysis and detection is currently one of the major topics in the information security landscape. Two main approaches to analyze and detect malware are static and dynamic analyses. In order to detect a running ...
    • Machine Learning Aided Static Malware Analysis: A Survey and Tutorial 

      Shalaginov, Andrii; Banin, Sergii; Dehghantanha, Ali; Franke, Katrin (Chapter, 2018)
      Malware analysis and detection techniques have been evolving during the last decade as a reflection to development of different malware techniques to evade network-based and host-based security protections. The fast growth ...
    • Malware detection and classification using low-level features 

      Banin, Sergii (Doctoral theses at NTNU;2023:11, Doctoral thesis, 2023)
      Nowadays, computers and computer systems are involved in most areas of our lives. Employees and users of manufacturing and transportation, banking and healthcare, education, and entertainment rely on computers and networks ...
    • Memory access patterns for malware detection 

      Banin, Sergii; Shalaginov, Andrii; Franke, Katrin (Journal article; Peer reviewed, 2016)
      Malware brings significant threats to modern digitized society. Malware developers put in significant efforts to evade detection and remain unnoticed on victims' computers despite a number of malware detection techniques. ...
    • Multinomial malware classification via low-level features 

      Banin, Sergii; Dyrkolbotn, Geir Olav (Journal article; Peer reviewed, 2018)
      Because malicious software or (”malware”) is so frequently used in a cyber crimes, malware detection and relevant research became a serious issue in the information security landscape. However, in order to have an appropriate ...