| dc.contributor.author | Безобразов, Сергей Валерьевич | |
| dc.coverage.spatial | Brest | ru_RU |
| dc.date.accessioned | 2023-11-29T08:10:37Z | |
| dc.date.available | 2023-11-29T08:10:37Z | |
| dc.date.issued | 2006 | |
| dc.identifier.citation | Bezobrazov, S. Artificial Immune Systems for Information Security: Comparative Analysis of Negative and Positive Selections/ Sergei Bezobrazov // International Conference on Neural Networks and Artificial Intelligence : proceedings, Brest, 31 May – 2 June, 2006 / Edited: V. Golovko [et al.]. – Brest : BSTU, 2006. – P. 49–52 : il. – Bibliogr.: p. 52 (5 titles). | ru_RU |
| dc.identifier.uri | https://rep.bstu.by/handle/data/37363 | |
| dc.description | Сергей Безобразов. Искусственные иммунные системы для информационной безопасности: сравнительный анализ отрицательных и положительных выборок | ru_RU |
| dc.description.abstract | The artificial immune system is a new, perspective system for protection of computer systems from viruses. Training and selection of detectors is necessary in artificial immune system, as it prevents break-in of unnecessary detectors. This paper presents comparative analysis of two methods detectors selection: negative and positive selections. The results of experiments are discussed in the paper. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | BrSTU | ru_RU |
| dc.subject | artificial immune system | ru_RU |
| dc.subject | искусственная иммунная система | ru_RU |
| dc.subject | anomaly detection | ru_RU |
| dc.subject | обнаружение аномалий | ru_RU |
| dc.subject | negative selection | ru_RU |
| dc.subject | отрицательный отбор | ru_RU |
| dc.subject | positive selection | ru_RU |
| dc.subject | положительный отбор. | ru_RU |
| dc.title | Artificial Immune Systems for Information Security: Comparative Analysis of Negative and Positive Selections | ru_RU |
| dc.title.alternative | Искусственные иммунные системы для информационной безопасности: сравнительный анализ отрицательных и положительных выборок | ru_RU |
| dc.type | Научный доклад (Working Paper) | ru_RU |
