1 resultado para synchronous-scan
em Nottingham eTheses
Filtro por publicador
- Aberdeen University (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- Aquatic Commons (9)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (22)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (11)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (38)
- Boston University Digital Common (2)
- Cambridge University Engineering Department Publications Database (26)
- CentAUR: Central Archive University of Reading - UK (7)
- Center for Jewish History Digital Collections (1)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (30)
- Cochin University of Science & Technology (CUSAT), India (4)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (24)
- Digital Commons @ DU | University of Denver Research (1)
- DigitalCommons@The Texas Medical Center (3)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (7)
- Greenwich Academic Literature Archive - UK (1)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (31)
- Indian Institute of Science - Bangalore - Índia (162)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Massachusetts Institute of Technology (2)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (4)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Publishing Network for Geoscientific & Environmental Data (143)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (44)
- Queensland University of Technology - ePrints Archive (264)
- RDBU - Repositório Digital da Biblioteca da Unisinos (2)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (25)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Scielo España (1)
- Scientific Open-access Literature Archive and Repository (2)
- Universidad de Alicante (2)
- Universidad Politécnica de Madrid (18)
- Universidade Complutense de Madrid (1)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (1)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (1)
- University of Michigan (11)
- University of Queensland eSpace - Australia (17)
- University of Southampton, United Kingdom (7)
Resumo:
Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the function of Dendritic Cells (DCs). DCs are antigen presenting cells and key to the activation of the human immune system, behaviour which has been abstracted to form the Dendritic Cell Algorithm (DCA). In algorithmic terms, individual DCs perform multi-sensor data fusion, asynchronously correlating the fused data signals with a secondary data stream. Aggregate output of a population of cells is analysed and forms the basis of an anomaly detection system. In this paper the DCA is applied to the detection of outgoing port scans using TCP SYN packets. Results show that detection can be achieved with the DCA, yet some false positives can be encountered when simultaneously scanning and using other network services. Suggestions are made for using adaptive signals to alleviate this uncovered problem.