User Behaviour Based Phishing Websites Detection

Xun Dong; John A. Clark; Jeremy L. Jacob

User Behaviour Based Phishing Websites Detection

Xun Dong, John A. Clark, Jeremy L. Jacob

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Phishing detection systems are principally based on the analysis of data moving from phishers to victims. In this paper we describe a novel approach to detect phishing websites based on analysis of users' online behaviours - i.e., the websites users have visited, and the data users have submitted to those websites. Such user behaviours can not be manipulated freely by attackers; detection based on those data can not only achieve high accuracy, but also is fundamentally resilient against changing deception methods.

Original language	English
Title of host publication	2008 INTERNATIONAL MULTICONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (IMCSIT), VOLS 1 AND 2
Editors	M Ganzha, M Paprzycki, T PelechPilichowski
Place of Publication	NEW YORK
Publisher	IEEE
Pages	728-735
Number of pages	8
Volume	3
ISBN (Print)	978-8-36-8-1014-9
Publication status	Published - 2008
Event	International Multiconference on Computer Science and Information Technology - Wisla Duration: 20 Oct 2008 → 22 Oct 2008

Conference

Conference	International Multiconference on Computer Science and Information Technology
City	Wisla
Period	20/10/08 → 22/10/08

Keywords

Phishing Attacks
Phishing Websites Detection
Identity Theft
User Protection

Cite this

@inproceedings{494781bef08b4fdab04b5103098e04f4,

title = "User Behaviour Based Phishing Websites Detection",

abstract = "Phishing detection systems are principally based on the analysis of data moving from phishers to victims. In this paper we describe a novel approach to detect phishing websites based on analysis of users' online behaviours - i.e., the websites users have visited, and the data users have submitted to those websites. Such user behaviours can not be manipulated freely by attackers; detection based on those data can not only achieve high accuracy, but also is fundamentally resilient against changing deception methods.",

keywords = "Phishing Attacks, Phishing Websites Detection, Identity Theft, User Protection",

author = "Xun Dong and Clark, {John A.} and Jacob, {Jeremy L.}",

year = "2008",

language = "English",

isbn = "978-8-36-8-1014-9",

volume = "3",

pages = "728--735",

editor = "M Ganzha and M Paprzycki and T PelechPilichowski",

booktitle = "2008 INTERNATIONAL MULTICONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (IMCSIT), VOLS 1 AND 2",

publisher = "IEEE",

address = "United States",

note = "International Multiconference on Computer Science and Information Technology ; Conference date: 20-10-2008 Through 22-10-2008",

}

Dong, X , Clark, JA & Jacob, JL 2008, User Behaviour Based Phishing Websites Detection. in M Ganzha, M Paprzycki & T PelechPilichowski (eds), 2008 INTERNATIONAL MULTICONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (IMCSIT), VOLS 1 AND 2. vol. 3, IEEE, NEW YORK, pp. 728-735, International Multiconference on Computer Science and Information Technology, Wisla, 20/10/08.

User Behaviour Based Phishing Websites Detection. / Dong, Xun ; Clark, John A.; Jacob, Jeremy L.
2008 INTERNATIONAL MULTICONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (IMCSIT), VOLS 1 AND 2. ed. / M Ganzha; M Paprzycki; T PelechPilichowski. Vol. 3 NEW YORK: IEEE, 2008. p. 728-735.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - User Behaviour Based Phishing Websites Detection

AU - Dong, Xun

AU - Clark, John A.

AU - Jacob, Jeremy L.

PY - 2008

Y1 - 2008

N2 - Phishing detection systems are principally based on the analysis of data moving from phishers to victims. In this paper we describe a novel approach to detect phishing websites based on analysis of users' online behaviours - i.e., the websites users have visited, and the data users have submitted to those websites. Such user behaviours can not be manipulated freely by attackers; detection based on those data can not only achieve high accuracy, but also is fundamentally resilient against changing deception methods.

AB - Phishing detection systems are principally based on the analysis of data moving from phishers to victims. In this paper we describe a novel approach to detect phishing websites based on analysis of users' online behaviours - i.e., the websites users have visited, and the data users have submitted to those websites. Such user behaviours can not be manipulated freely by attackers; detection based on those data can not only achieve high accuracy, but also is fundamentally resilient against changing deception methods.

KW - Phishing Attacks

KW - Phishing Websites Detection

KW - Identity Theft

KW - User Protection

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M3 - Conference contribution

SN - 978-8-36-8-1014-9

VL - 3

SP - 728

EP - 735

BT - 2008 INTERNATIONAL MULTICONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (IMCSIT), VOLS 1 AND 2

A2 - Ganzha, M

A2 - Paprzycki, M

A2 - PelechPilichowski, T

PB - IEEE

CY - NEW YORK

T2 - International Multiconference on Computer Science and Information Technology

Y2 - 20 October 2008 through 22 October 2008

ER -

User Behaviour Based Phishing Websites Detection

Abstract

Conference

Keywords

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Cite this