Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/71698
Título: | Intelligent data leak detection through behavioural analysis |
Autor(es): | Costeira, Ricardo Santos, Henrique |
Palavras-chave: | Anomaly Detection Machine Learning Data Mining Support Vector Machines |
Data: | 2016 |
Editora: | International Academy, Research, and Industry Association (IARIA) |
Resumo(s): | In this paper we discuss a solution to detect data leaks in an intelligent and furtive way through a real time analysis of the user’s behaviour while handling classified information. Data is based on experiences with real world use cases and a variety of data preparation and data analysis techniques have been tried. Results show the feasibility of the approach, but also the necessity to correlate with other security events to improve the precision. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/71698 |
ISBN: | 978-1-61208-512-8 |
Versão da editora: | https://www.thinkmind.org/download.php?articleid=cyber_2016_2_10_80026 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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cyber_2016_2_10_80026.pdf | 831,88 kB | Adobe PDF | Ver/Abrir |