Competence measure in social networks

Samar Muslah Albladi; George R S Weir

doi:10.1109/CCST.2017.8167845

Competence measure in social networks

Samar Muslah Albladi, George R S Weir

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

5 Citations (Scopus)

50 Downloads (Pure)

Abstract

The current research aims to gain insight on user competence in detecting security threats in the context of online social networks (OSNs) and investigates the multidimensional space that determines this user competence level. The role of user competence and its dimensions in facilitating the detection of online threats is still a controversial topic in the information security field. The dimensions used to measure the concept are self-efficacy, security awareness, privacy awareness, and cybercrime experience. The scales used to measure those factors can determine the level of user competence in evaluating risks associated with social network usage. The measurement scales employed here have been validated using an item-categorization approach that, to our knowledge, has never before been used in information security research. The result of this study provides evidence for the suitability and validity of the user competence dimensions and associated measurement scales.

Original language	English
Title of host publication	2017 IEEE International Carnahan Conference on Security Technology (ICCST)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781538615850
DOIs	https://doi.org/10.1109/CCST.2017.8167845
Publication status	Published - 7 Dec 2017
Event	51st International Carnahan Conference on Security Technology - Madrid, Spain Duration: 23 Oct 2017 → 26 Oct 2017

Conference

Conference	51st International Carnahan Conference on Security Technology
Abbreviated title	ICCST 2017
Country/Territory	Spain
City	Madrid
Period	23/10/17 → 26/10/17

Keywords

social network services
privacy
information security
sorting
training

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10.1109/CCST.2017.8167845

Albladi-Weir-ICCST2017-Competence-measure-in-social-networksAccepted author manuscript, 355 KB

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title = "Competence measure in social networks",

abstract = "The current research aims to gain insight on user competence in detecting security threats in the context of online social networks (OSNs) and investigates the multidimensional space that determines this user competence level. The role of user competence and its dimensions in facilitating the detection of online threats is still a controversial topic in the information security field. The dimensions used to measure the concept are self-efficacy, security awareness, privacy awareness, and cybercrime experience. The scales used to measure those factors can determine the level of user competence in evaluating risks associated with social network usage. The measurement scales employed here have been validated using an item-categorization approach that, to our knowledge, has never before been used in information security research. The result of this study provides evidence for the suitability and validity of the user competence dimensions and associated measurement scales. ",

keywords = "social network services, privacy, information security, sorting, training",

author = "Albladi, {Samar Muslah} and Weir, {George R S}",

note = "{\textcopyright} 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 51st International Carnahan Conference on Security Technology, ICCST 2017 ; Conference date: 23-10-2017 Through 26-10-2017",

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AU - Albladi, Samar Muslah

AU - Weir, George R S

N1 - © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2017/12/7

Y1 - 2017/12/7

N2 - The current research aims to gain insight on user competence in detecting security threats in the context of online social networks (OSNs) and investigates the multidimensional space that determines this user competence level. The role of user competence and its dimensions in facilitating the detection of online threats is still a controversial topic in the information security field. The dimensions used to measure the concept are self-efficacy, security awareness, privacy awareness, and cybercrime experience. The scales used to measure those factors can determine the level of user competence in evaluating risks associated with social network usage. The measurement scales employed here have been validated using an item-categorization approach that, to our knowledge, has never before been used in information security research. The result of this study provides evidence for the suitability and validity of the user competence dimensions and associated measurement scales.

AB - The current research aims to gain insight on user competence in detecting security threats in the context of online social networks (OSNs) and investigates the multidimensional space that determines this user competence level. The role of user competence and its dimensions in facilitating the detection of online threats is still a controversial topic in the information security field. The dimensions used to measure the concept are self-efficacy, security awareness, privacy awareness, and cybercrime experience. The scales used to measure those factors can determine the level of user competence in evaluating risks associated with social network usage. The measurement scales employed here have been validated using an item-categorization approach that, to our knowledge, has never before been used in information security research. The result of this study provides evidence for the suitability and validity of the user competence dimensions and associated measurement scales.

KW - social network services

KW - privacy

KW - information security

KW - sorting

KW - training

UR - http://atvs.ii.uam.es/iccst2017/

UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8122075

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DO - 10.1109/CCST.2017.8167845

M3 - Conference contribution book

BT - 2017 IEEE International Carnahan Conference on Security Technology (ICCST)

PB - IEEE

CY - Piscataway, NJ

T2 - 51st International Carnahan Conference on Security Technology

Y2 - 23 October 2017 through 26 October 2017

ER -

Competence measure in social networks

Abstract

Conference

Keywords

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