Smartening the crowds: Computational techniques for improving human verification to fight phishing scams

Gang Liu; Guang Xiang; Bryan A. Pendleton; Jason I. Hong; Wenyin Liu

doi:10.1145/2078827.2078838

Smartening the crowds: Computational techniques for improving human verification to fight phishing scams

Gang Liu
, Guang Xiang
, Bryan A. Pendleton
, Jason I. Hong
, Wenyin Liu

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

21 Citations (Scopus)

Abstract

Phishing is an ongoing kind of semantic attack that tricks victims into inadvertently sharing sensitive information. In this paper, we explore novel techniques for combating the phishing problem using computational techniques to improve human effort. Using tasks posted to the Amazon Mechanical Turk human effort market, we measure the accuracy of minimally trained humans in identifying potential phish, and consider methods for best taking advantage of individual contributions. Furthermore, we present our experiments using clustering techniques and vote weighting to improve the results of human effort in fighting phishing. We found that these techniques could increase coverage over and were significantly faster than existing blacklists used today. © 2011 ACM.

Original language	English
Title of host publication	SOUPS 2011 - Proceedings of the 7th Symposium on Usable Privacy and Security
DOIs	https://doi.org/10.1145/2078827.2078838
Publication status	Published - 2011
Event	7th Symposium on Usable Privacy and Security, SOUPS 2011 - Pittsburgh, PA, United States Duration: 20 Jul 2011 → 22 Jul 2011

Conference

Conference	7th Symposium on Usable Privacy and Security, SOUPS 2011
Place	United States
City	Pittsburgh, PA
Period	20/07/11 → 22/07/11

Research Keywords

clustering
crowdsourcing
phishing
voting
wisdom of crowds

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10.1145/2078827.2078838

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@inproceedings{d269761066bd44a789bd7c5187222e37,

title = "Smartening the crowds: Computational techniques for improving human verification to fight phishing scams",

abstract = "Phishing is an ongoing kind of semantic attack that tricks victims into inadvertently sharing sensitive information. In this paper, we explore novel techniques for combating the phishing problem using computational techniques to improve human effort. Using tasks posted to the Amazon Mechanical Turk human effort market, we measure the accuracy of minimally trained humans in identifying potential phish, and consider methods for best taking advantage of individual contributions. Furthermore, we present our experiments using clustering techniques and vote weighting to improve the results of human effort in fighting phishing. We found that these techniques could increase coverage over and were significantly faster than existing blacklists used today. {\textcopyright} 2011 ACM.",

keywords = "clustering, crowdsourcing, phishing, voting, wisdom of crowds",

author = "Gang Liu and Guang Xiang and Pendleton, \{Bryan A.\} and Hong, \{Jason I.\} and Wenyin Liu",

year = "2011",

doi = "10.1145/2078827.2078838",

language = "English",

isbn = "9781450309110",

booktitle = "SOUPS 2011 - Proceedings of the 7th Symposium on Usable Privacy and Security",

note = "7th Symposium on Usable Privacy and Security, SOUPS 2011 ; Conference date: 20-07-2011 Through 22-07-2011",

}

Liu, G, Xiang, G, Pendleton, BA, Hong, JI & Liu, W 2011, Smartening the crowds: Computational techniques for improving human verification to fight phishing scams. in SOUPS 2011 - Proceedings of the 7th Symposium on Usable Privacy and Security. 7th Symposium on Usable Privacy and Security, SOUPS 2011, Pittsburgh, PA, United States, 20/07/11. https://doi.org/10.1145/2078827.2078838

Smartening the crowds: Computational techniques for improving human verification to fight phishing scams. / Liu, Gang; Xiang, Guang; Pendleton, Bryan A. et al.
SOUPS 2011 - Proceedings of the 7th Symposium on Usable Privacy and Security. 2011.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Smartening the crowds

T2 - 7th Symposium on Usable Privacy and Security, SOUPS 2011

AU - Liu, Gang

AU - Xiang, Guang

AU - Pendleton, Bryan A.

AU - Hong, Jason I.

AU - Liu, Wenyin

PY - 2011

Y1 - 2011

N2 - Phishing is an ongoing kind of semantic attack that tricks victims into inadvertently sharing sensitive information. In this paper, we explore novel techniques for combating the phishing problem using computational techniques to improve human effort. Using tasks posted to the Amazon Mechanical Turk human effort market, we measure the accuracy of minimally trained humans in identifying potential phish, and consider methods for best taking advantage of individual contributions. Furthermore, we present our experiments using clustering techniques and vote weighting to improve the results of human effort in fighting phishing. We found that these techniques could increase coverage over and were significantly faster than existing blacklists used today. © 2011 ACM.

AB - Phishing is an ongoing kind of semantic attack that tricks victims into inadvertently sharing sensitive information. In this paper, we explore novel techniques for combating the phishing problem using computational techniques to improve human effort. Using tasks posted to the Amazon Mechanical Turk human effort market, we measure the accuracy of minimally trained humans in identifying potential phish, and consider methods for best taking advantage of individual contributions. Furthermore, we present our experiments using clustering techniques and vote weighting to improve the results of human effort in fighting phishing. We found that these techniques could increase coverage over and were significantly faster than existing blacklists used today. © 2011 ACM.

KW - clustering

KW - crowdsourcing

KW - phishing

KW - voting

KW - wisdom of crowds

UR - https://www.scopus.com/pages/publications/84862916918

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84862916918&origin=recordpage

U2 - 10.1145/2078827.2078838

DO - 10.1145/2078827.2078838

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781450309110

BT - SOUPS 2011 - Proceedings of the 7th Symposium on Usable Privacy and Security

Y2 - 20 July 2011 through 22 July 2011

ER -

Smartening the crowds: Computational techniques for improving human verification to fight phishing scams

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