Anomalijų analizės metodai, naudojami piktybinio kodo aptikimui

Tuskenis, Julius

Use this url to cite publication: https://hdl.handle.net/20.500.14911/141515

Anomalijų analizės metodai, naudojami piktybinio kodo aptikimui

Details

Publication Type (CRIS)

Straipsnis nerecenzuojamoje Lietuvos konferencijos medžiagoje / Article in non-peer-reviewed Lithuanian conference proceedings (P2c)

Publication Type (eLABa)

Straipsnis nerecenzuotame konferencijos darbų leidinyje / Article in an un-reviewed conference proceedings (P2)

Author(s)

Author	Affiliation
Tuskenis, Julius	Informacinių technologijų katedra / Department of Information Technologies (1047)

Title

Anomalijų analizės metodai, naudojami piktybinio kodo aptikimui

[lt]

Julius Tuskenis

Title in other language

Methods of anomaly analysis used to detect malicious code

[en]

Is part of

Matematika (2006 m.balandžio 20 d.). Informatika (2006 m. balandžio 12-13 d.d.): 9-osios Lietuvos jaunųjų mokslininkų konferencijos Mokslas - Lietuvos ateitis medžiaga

Published In

Year	Start Page	End Page
2006	436	439

Publisher

Vilnius : Technika, 2006

Extent

p. 436-439

URI

URI
https://hdl.handle.net/20.500.14911/141515

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

Abstract (en)

There are two main ways to detect maliciuous programs: signature matching and anomaly analysis. The last differs by searching for anything what is not normal, so it doesn't need to update signature or knowledge bases regularly. On the other hand the possibility of false posotove and negative results is much greater and the result is usually a possibility ratehr than certainly. The best way would be the use of composite systems- use several ways of detection.