• 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 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 ...
    • 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 ...
    • 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 ...