Computer Forensics System Based on Artificial Immune Systems

Простая страница элемента
dc.creatorYang,Jin
dc.creatorLi,Tao
dc.creatorLiu,Sunjun
dc.creatorWang,Tiefang
dc.creatorWang,Diangang
dc.creatorLiang,Gang
dc.date2007
dc.date.accessioned2024-02-06T12:55:51Z
dc.date.available2024-02-06T12:55:51Z
dc.descriptionThe current computer forensics approaches mainly focus on the network actions capture and analysis the evidences after attacks, which always result in the static methods. Inspired by the theory of artificial immune systems (AIS ), a novel model of Computer Forensics System is presented. The concepts and formal definitions of immune cells are given, and dynamically evaluative equations for self, antigen, immune tolerance, mature-lymphocyte lifecycle and immune memory are presented, and the hierarchical and distributed management framework of the proposed model are built. Furthermore, the idea of biology immunity is applied for enhancing the self-adapting and self-learning ability to adapt continuously variety environments. The experimental results show that the proposed model has the features of real-time processing, selfadaptively, thus providing a promising solution for computer forensics.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-013-09-1354
dc.identifierhttps://lib.jucs.org/article/28858/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9479
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 13(9): 1354-1365
dc.subjectnetwork security
dc.subjectcomputer forensics
dc.subjectartificial immune systems
dc.titleComputer Forensics System Based on Artificial Immune Systems
dc.typeResearch Article
Файлы
Коллекции