Investigating phishing susceptibility—an analysis of neural measures

Rohit Valecha; Adam Gonzalez; Jeffrey Mock; Edward J. Golob; H. Raghav Rao

doi:10.1007/978-3-030-28144-1_12

Investigating phishing susceptibility—an analysis of neural measures

Rohit Valecha
, Adam Gonzalez
, Jeffrey Mock
, Edward J. Golob
, H. Raghav Rao

Management Science and Systems

University at Buffalo

University of Texas at San Antonio

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

7 Scopus citations

Abstract

Phishing is an attempt to acquire sensitive information from a user by malicious means. The losses due to phishing have exceeded a trillion dollars globally. In investigating phishing susceptibility, literature has largely examined structural and individual characteristics. Very little attention has been paid to neural measures within phishing contexts. In this paper, we explore the role of cognitive responses and correlated brain responses in phishing context. Such research is useful because a deeper understanding of persuasion techniques can inform the design of effective countermeasures for detecting and blocking phishing messages.

Original language	English
Title of host publication	Information Systems and Neuroscience - NeuroIS Retreat 2019
Editors	Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane Randolph, Thomas Fischer
Publisher	Springer
Pages	111-119
Number of pages	9
ISBN (Print)	9783030281434
DOIs	https://doi.org/10.1007/978-3-030-28144-1_12
State	Published - 2020
Event	International Conference on Information Systems and Neuroscience, NeuroIS Retreat 2019 - Vienna, Austria Duration: Jun 4 2019 → Jun 6 2019

Publication series

Name	Lecture Notes in Information Systems and Organisation
Volume	32

Conference

Conference	International Conference on Information Systems and Neuroscience, NeuroIS Retreat 2019
Country/Territory	Austria
City	Vienna
Period	06/4/19 → 06/6/19

Keywords

EEG
Neural measures
Phishing susceptibility

Access to Document

10.1007/978-3-030-28144-1_12

Cite this

Valecha, R., Gonzalez, A., Mock, J., Golob, E. J., & Raghav Rao, H. (2020). Investigating phishing susceptibility—an analysis of neural measures. In F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, A. Randolph, & T. Fischer (Eds.), Information Systems and Neuroscience - NeuroIS Retreat 2019 (pp. 111-119). (Lecture Notes in Information Systems and Organisation; Vol. 32). Springer. https://doi.org/10.1007/978-3-030-28144-1_12

Valecha, Rohit ; Gonzalez, Adam ; Mock, Jeffrey et al. / Investigating phishing susceptibility—an analysis of neural measures. Information Systems and Neuroscience - NeuroIS Retreat 2019. editor / Fred D. Davis ; René Riedl ; Jan vom Brocke ; Pierre-Majorique Léger ; Adriane Randolph ; Thomas Fischer. Springer, 2020. pp. 111-119 (Lecture Notes in Information Systems and Organisation).

@inproceedings{4b2fe415bb1d491aa282c6494cc21879,

title = "Investigating phishing susceptibility—an analysis of neural measures",

abstract = "Phishing is an attempt to acquire sensitive information from a user by malicious means. The losses due to phishing have exceeded a trillion dollars globally. In investigating phishing susceptibility, literature has largely examined structural and individual characteristics. Very little attention has been paid to neural measures within phishing contexts. In this paper, we explore the role of cognitive responses and correlated brain responses in phishing context. Such research is useful because a deeper understanding of persuasion techniques can inform the design of effective countermeasures for detecting and blocking phishing messages.",

keywords = "EEG, Neural measures, Phishing susceptibility",

author = "Rohit Valecha and Adam Gonzalez and Jeffrey Mock and Golob, \{Edward J.\} and \{Raghav Rao\}, H.",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; International Conference on Information Systems and Neuroscience, NeuroIS Retreat 2019 ; Conference date: 04-06-2019 Through 06-06-2019",

year = "2020",

doi = "10.1007/978-3-030-28144-1\_12",

language = "English",

isbn = "9783030281434",

series = "Lecture Notes in Information Systems and Organisation",

publisher = "Springer",

pages = "111--119",

editor = "Davis, \{Fred D.\} and Ren{\'e} Riedl and \{vom Brocke\}, Jan and Pierre-Majorique L{\'e}ger and Adriane Randolph and Thomas Fischer",

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Valecha, R, Gonzalez, A, Mock, J, Golob, EJ & Raghav Rao, H 2020, Investigating phishing susceptibility—an analysis of neural measures. in FD Davis, R Riedl, J vom Brocke, P-M Léger, A Randolph & T Fischer (eds), Information Systems and Neuroscience - NeuroIS Retreat 2019. Lecture Notes in Information Systems and Organisation, vol. 32, Springer, pp. 111-119, International Conference on Information Systems and Neuroscience, NeuroIS Retreat 2019, Vienna, Austria, 06/4/19. https://doi.org/10.1007/978-3-030-28144-1_12

Investigating phishing susceptibility—an analysis of neural measures. / Valecha, Rohit; Gonzalez, Adam; Mock, Jeffrey et al.
Information Systems and Neuroscience - NeuroIS Retreat 2019. ed. / Fred D. Davis; René Riedl; Jan vom Brocke; Pierre-Majorique Léger; Adriane Randolph; Thomas Fischer. Springer, 2020. p. 111-119 (Lecture Notes in Information Systems and Organisation; Vol. 32).

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

TY - GEN

T1 - Investigating phishing susceptibility—an analysis of neural measures

AU - Valecha, Rohit

AU - Gonzalez, Adam

AU - Mock, Jeffrey

AU - Golob, Edward J.

AU - Raghav Rao, H.

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - Phishing is an attempt to acquire sensitive information from a user by malicious means. The losses due to phishing have exceeded a trillion dollars globally. In investigating phishing susceptibility, literature has largely examined structural and individual characteristics. Very little attention has been paid to neural measures within phishing contexts. In this paper, we explore the role of cognitive responses and correlated brain responses in phishing context. Such research is useful because a deeper understanding of persuasion techniques can inform the design of effective countermeasures for detecting and blocking phishing messages.

AB - Phishing is an attempt to acquire sensitive information from a user by malicious means. The losses due to phishing have exceeded a trillion dollars globally. In investigating phishing susceptibility, literature has largely examined structural and individual characteristics. Very little attention has been paid to neural measures within phishing contexts. In this paper, we explore the role of cognitive responses and correlated brain responses in phishing context. Such research is useful because a deeper understanding of persuasion techniques can inform the design of effective countermeasures for detecting and blocking phishing messages.

KW - EEG

KW - Neural measures

KW - Phishing susceptibility

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U2 - 10.1007/978-3-030-28144-1_12

DO - 10.1007/978-3-030-28144-1_12

M3 - Conference contribution

SN - 9783030281434

T3 - Lecture Notes in Information Systems and Organisation

SP - 111

EP - 119

BT - Information Systems and Neuroscience - NeuroIS Retreat 2019

A2 - Davis, Fred D.

A2 - Riedl, René

A2 - vom Brocke, Jan

A2 - Léger, Pierre-Majorique

A2 - Randolph, Adriane

A2 - Fischer, Thomas

PB - Springer

T2 - International Conference on Information Systems and Neuroscience, NeuroIS Retreat 2019

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ER -

Valecha R, Gonzalez A, Mock J, Golob EJ, Raghav Rao H. Investigating phishing susceptibility—an analysis of neural measures. In Davis FD, Riedl R, vom Brocke J, Léger PM, Randolph A, Fischer T, editors, Information Systems and Neuroscience - NeuroIS Retreat 2019. Springer. 2020. p. 111-119. (Lecture Notes in Information Systems and Organisation). doi: 10.1007/978-3-030-28144-1_12

Investigating phishing susceptibility—an analysis of neural measures

Abstract

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Keywords

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