Augmenting detection of social engineering attacks using deception detection technology

Douglas Twitchell

Augmenting detection of social engineering attacks using deception detection technology

Douglas Twitchell

Information Technology and Supply Chain Management Department

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

Preventing social engineering has traditionally been a matter of adequate training, policy enforcement, and reliance on human ability to detect deception. However, recent advances in deception detection may be useful in augmenting human deception detection and therefore social engineering detection. This paper illustrates how message feature mining and speech act profiling, both technologies for aiding deception detection in textual data, could be used to aid organizations in detecting and repelling social engineering attacks.

Original language	English
Pages	205-212
Number of pages	8
State	Published - 2006
Event	International Conference on i-Warfare and Security, ICIW 2006 - Eastern Shore, United States Duration: 15 Mar 2006 → 16 Mar 2006

Conference

Conference	International Conference on i-Warfare and Security, ICIW 2006
Country/Territory	United States
City	Eastern Shore
Period	15/03/06 → 16/03/06

Keywords

Deception detection
Intrusion detection
Social engineering
Text analysis

Cite this

@conference{2b3b5c5a524e4724b05be7255427556a,

title = "Augmenting detection of social engineering attacks using deception detection technology",

abstract = "Preventing social engineering has traditionally been a matter of adequate training, policy enforcement, and reliance on human ability to detect deception. However, recent advances in deception detection may be useful in augmenting human deception detection and therefore social engineering detection. This paper illustrates how message feature mining and speech act profiling, both technologies for aiding deception detection in textual data, could be used to aid organizations in detecting and repelling social engineering attacks.",

keywords = "Deception detection, Intrusion detection, Social engineering, Text analysis",

author = "Douglas Twitchell",

year = "2006",

language = "English",

pages = "205--212",

note = "International Conference on i-Warfare and Security, ICIW 2006 ; Conference date: 15-03-2006 Through 16-03-2006",

}

TY - CONF

T1 - Augmenting detection of social engineering attacks using deception detection technology

AU - Twitchell, Douglas

PY - 2006

Y1 - 2006

N2 - Preventing social engineering has traditionally been a matter of adequate training, policy enforcement, and reliance on human ability to detect deception. However, recent advances in deception detection may be useful in augmenting human deception detection and therefore social engineering detection. This paper illustrates how message feature mining and speech act profiling, both technologies for aiding deception detection in textual data, could be used to aid organizations in detecting and repelling social engineering attacks.

AB - Preventing social engineering has traditionally been a matter of adequate training, policy enforcement, and reliance on human ability to detect deception. However, recent advances in deception detection may be useful in augmenting human deception detection and therefore social engineering detection. This paper illustrates how message feature mining and speech act profiling, both technologies for aiding deception detection in textual data, could be used to aid organizations in detecting and repelling social engineering attacks.

KW - Deception detection

KW - Intrusion detection

KW - Social engineering

KW - Text analysis

UR - http://www.scopus.com/inward/record.url?scp=84896264894&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84896264894

SP - 205

EP - 212

T2 - International Conference on i-Warfare and Security, ICIW 2006

Y2 - 15 March 2006 through 16 March 2006

ER -

Augmenting detection of social engineering attacks using deception detection technology

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this