TAT-NIDS: An Immune-Based Anomaly Detection Architecture for Network Intrusion Detection

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

Mario Antunes (Autor) Outra; Manuel Correia (Autor) FCUP

Ata de Conferência Internacional

Título: ADVANCES IN SOFT COMPUTING

Páginas: 60-67

2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 08)

Salamanca, SPAIN, OCT 22-24, 2008

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 8 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Matemática

Outras Informações

ID Authenticus: P-003-SZJ

DOI: 10.1007/978-3-540-85861-4_8

Abstract (EN): One emergent, widely used metaphor and rich source of inspiration for computer security has been the vertebrate Immune System (IS). This is mainly due to its intrinsic nature of having to constantly protect the body against harm inflicted by external (non-self) harmful entities. The bridge between metaphor and the reality of new practical systems for anomaly detection is cemented by recent biological advancements and new proposed theories on the dynamics of immune cells by the field of theoretical immunology. In this paper we present a work in progress research on the deployment of an immune-inspired architecture, based on Grossman's Tunable Activation Threshold (TAT) hypothesis, for temporal anomaly detection, where there is a strict temporal ordering on the data, such as network intrusion detection. We start by briefly describing the overall architecture. Then, we present some preliminary results obtained in a Production network. Finally, we conclude by presenting the main lines of research we intend to pursue in the near future.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8