A Scalable Spam Filtering Architecture - Technological Innovation for the Internet of Things Access content directly
Conference Papers Year : 2013

A Scalable Spam Filtering Architecture

Nuno Ferreira
  • Function : Author
  • PersonId : 986649
Gracinda Carvalho
  • Function : Author
  • PersonId : 986650
Paulo Rogério Pereira
  • Function : Author
  • PersonId : 986651

Abstract

The proposed spam filtering architecture for MTA servers is a component based architecture that allows distributed processing and centralized knowledge. This architecture allows heterogeneous systems to coexist and benefit from a centralized knowledge source and filtering rules. MTA servers in the infrastructure contribute to a common knowledge, allowing for a more rational resource usage. The architecture is fully scalable, ranging from all-in-one system with minimal components instances, to multiple components instances distributed across multiple systems. Filtering rules can be implemented as independent modules that can be added, removed or modified without impact on MTA servers operation. A proof-of-concept solution was developed. Most of spam is filtered due to a grey-listing effect from the architecture itself. Using simple filters as Domain Name System black and white lists, and Sender Policy Framework validation, it is possible to guarantee a spam filtering effective, efficient and virtually without false positives.
Fichier principal
Vignette du fichier
978-3-642-37291-9_12_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01348741 , version 1 (25-07-2016)

Licence

Attribution

Identifiers

Cite

Nuno Ferreira, Gracinda Carvalho, Paulo Rogério Pereira. A Scalable Spam Filtering Architecture. 4th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2013, Costa de Caparica, Portugal. pp.107-114, ⟨10.1007/978-3-642-37291-9_12⟩. ⟨hal-01348741⟩
49 View
73 Download

Altmetric

Share

Gmail Facebook X LinkedIn More