• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Research on Malware Activity Detection Approaches

Student: Anastasiia Gilinskaia

Supervisor: Danil Smirnov

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Security (Bachelor)

Final Grade: 8

Year of Graduation: 2024

With the increasing variety of malicious software, the relevance of developing and refining methods for detecting such threats has become increasingly significant. Since the 1970s, when computers became widely accessible, a new phase in technological evolution has led to the emergence of the first computer viruses. Despite technological changes, current approaches to the analysis and detection of such software still face challenges in achieving high completeness and accuracy in detection. This study encompasses the analysis and compilation of existing detection methodologies, their application to a sample of malicious and legitimate programs, and the experimental study of their effectiveness.

Full text (added May 12, 2024)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses