| dc.contributor.author | Tuskenis, Julius | |
| dc.date.accessioned | 2023-09-18T19:37:52Z | |
| dc.date.available | 2023-09-18T19:37:52Z | |
| dc.date.issued | 2006 | |
| dc.identifier.other | (BIS)VGT02-000012723 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/141515 | |
| dc.description.abstract | 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. | eng |
| dc.format.extent | p. 436-439 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | lit | |
| dc.title | Anomalijų analizės metodai, naudojami piktybinio kodo aptikimui | |
| dc.title.alternative | Methods of anomaly analysis used to detect malicious code | |
| dc.type | Straipsnis nerecenzuotame konferencijos darbų leidinyje / Paper in a non peer-reviewed conference publication | |
| dcterms.references | 4 | |
| dc.type.pubtype | P2 - Straipsnis nerecenzuotame konferencijos darbų leidinyje / Article in an un-reviewed conference proceedings | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dcterms.sourcetitle | Matematika (2006 m.balandžio 20 d.). Informatika (2006 m. balandžio 12-13 d.d.): 9-osios Lietuvos jaunųjų mokslininkų konferencijos "Mokslas - Lietuvos ateitis" medžiaga | |
| dc.publisher.name | Technika | |
| dc.publisher.city | Vilnius | |
| dc.identifier.elaba | 3742714 | |
