Scalable Detection and Isolation of Phishing

Giovane Moreira Moura; Aiko Pras

doi:10.1007/978-3-642-02627-0_20

Scalable Detection and Isolation of Phishing

Giovane Moreira Moura, Aiko Pras

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

123 Downloads (Pure)

Abstract

This paper presents a proposal for scalable detection and isolation of phishing. The main ideas are to move the protection from end users towards the network provider and to employ the novel bad neighborhood concept, in order to detect and isolate both phishing e-mail senders and phishing web servers. In addition, we propose to develop a self-management architecture that enables ISPs to protect their users against phishing attacks, and explain how this architecture could be evaluated. This proposal is the result of half a year of research work at the University of Twente (UT), and it is aimed at a Ph.D. thesis in 2012.

Original language	Undefined
Title of host publication	Proceedings of the Third International Conference on Autonomous Infrastructure, Management and Security (AIMS 2009)
Place of Publication	Heidelbeg
Publisher	Springer
Pages	195-198
Number of pages	4
ISBN (Print)	978-3-642-02626-3
DOIs	https://doi.org/10.1007/978-3-642-02627-0_20
Publication status	Published - 1 Jul 2009
Event	3rd International Conference on Autonomous Infrastructure, Management and Security, AIMS 2009 - Enschede, Netherlands Duration: 30 Jun 2009 → 2 Jul 2009 Conference number: 3

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Volume	5637

Conference

Conference	3rd International Conference on Autonomous Infrastructure, Management and Security, AIMS 2009
Abbreviated title	AIMS 2009
Country/Territory	Netherlands
City	Enschede
Period	30/06/09 → 2/07/09

Keywords

METIS-263928
EWI-15721
IR-67530

Access to Document

10.1007/978-3-642-02627-0_20

Cite this

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title = "Scalable Detection and Isolation of Phishing",

abstract = "This paper presents a proposal for scalable detection and isolation of phishing. The main ideas are to move the protection from end users towards the network provider and to employ the novel bad neighborhood concept, in order to detect and isolate both phishing e-mail senders and phishing web servers. In addition, we propose to develop a self-management architecture that enables ISPs to protect their users against phishing attacks, and explain how this architecture could be evaluated. This proposal is the result of half a year of research work at the University of Twente (UT), and it is aimed at a Ph.D. thesis in 2012.",

keywords = "METIS-263928, EWI-15721, IR-67530",

author = "{Moreira Moura}, Giovane and Aiko Pras",

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Moreira Moura, G & Pras, A 2009, Scalable Detection and Isolation of Phishing. in Proceedings of the Third International Conference on Autonomous Infrastructure, Management and Security (AIMS 2009)., 10.1007/978-3-642-02627-0_20, Lecture Notes in Computer Science, vol. 5637, Springer, Heidelbeg, pp. 195-198, 3rd International Conference on Autonomous Infrastructure, Management and Security, AIMS 2009, Enschede, Netherlands, 30/06/09. https://doi.org/10.1007/978-3-642-02627-0_20

Scalable Detection and Isolation of Phishing. / Moreira Moura, Giovane; Pras, Aiko.

Proceedings of the Third International Conference on Autonomous Infrastructure, Management and Security (AIMS 2009). Heidelbeg : Springer, 2009. p. 195-198 10.1007/978-3-642-02627-0_20 (Lecture Notes in Computer Science; Vol. 5637).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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