Factors Influencing Players’ Susceptibility to Social Engineering in Social Gaming Networks

Social gaming networks have become a new phenomenon, especially for young people, who may become addicted to some extent. However, this phenomenon also increases their susceptibility to hacking, cyber-attack, and other types of security breaches. Various studies have found that current technology is...
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Autor*in:	Ahmad Alturki [verfasserIn] Nora Alshwihi [verfasserIn] Abdullah Algarni [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Social engineering social gaming networks competition cooperation susceptibility health belief model

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 8(2020), Seite 97383-97391
Übergeordnetes Werk:	volume:8 ; year:2020 ; pages:97383-97391

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2020.2995619

Katalog-ID:	DOAJ013292277

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allfieldsSound	10.1109/ACCESS.2020.2995619 doi (DE-627)DOAJ013292277 (DE-599)DOAJ70e31845c4104b3c8692d75d0da1bab5 DE-627 ger DE-627 rakwb eng TK1-9971 Ahmad Alturki verfasserin aut Factors Influencing Players’ Susceptibility to Social Engineering in Social Gaming Networks 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Social gaming networks have become a new phenomenon, especially for young people, who may become addicted to some extent. However, this phenomenon also increases their susceptibility to hacking, cyber-attack, and other types of security breaches. Various studies have found that current technology is inadequate in terms of online security. Thus, researchers have started to pay attention to the human aspect of security, which is based on interactions with strangers who may trick other gamers into revealing personal or financial information, that is, social engineering. There is little in the social gaming network literature to help players, researchers, and organizations to address the human aspect of online security, and thus there is a need to investigate the factors affecting this aspect of security. The current study aims to identify the factors influencing social engineering victimization in social gaming networks. The model developed in this study is based on the health belief model and cooperation and competition theory. The results show that the perceived severity of the threat, perceived barriers, perceived benefits, self-efficacy, competition, and cooperation are significant factors in the prediction of social engineering victimization. Social engineering social gaming networks competition cooperation susceptibility health belief model Electrical engineering. Electronics. Nuclear engineering Nora Alshwihi verfasserin aut Abdullah Algarni verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 97383-97391 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:97383-97391 https://doi.org/10.1109/ACCESS.2020.2995619 kostenfrei https://doaj.org/article/70e31845c4104b3c8692d75d0da1bab5 kostenfrei https://ieeexplore.ieee.org/document/9096355/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 97383-97391
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author	Ahmad Alturki
spellingShingle	Ahmad Alturki misc TK1-9971 misc Social engineering misc social gaming networks misc competition misc cooperation misc susceptibility misc health belief model misc Electrical engineering. Electronics. Nuclear engineering Factors Influencing Players’ Susceptibility to Social Engineering in Social Gaming Networks
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topic_title	TK1-9971 Factors Influencing Players’ Susceptibility to Social Engineering in Social Gaming Networks Social engineering social gaming networks competition cooperation susceptibility health belief model
topic	misc TK1-9971 misc Social engineering misc social gaming networks misc competition misc cooperation misc susceptibility misc health belief model misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Social engineering misc social gaming networks misc competition misc cooperation misc susceptibility misc health belief model misc Electrical engineering. Electronics. Nuclear engineering
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title	Factors Influencing Players’ Susceptibility to Social Engineering in Social Gaming Networks
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title_sort	factors influencing players’ susceptibility to social engineering in social gaming networks
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title_auth	Factors Influencing Players’ Susceptibility to Social Engineering in Social Gaming Networks
abstract	Social gaming networks have become a new phenomenon, especially for young people, who may become addicted to some extent. However, this phenomenon also increases their susceptibility to hacking, cyber-attack, and other types of security breaches. Various studies have found that current technology is inadequate in terms of online security. Thus, researchers have started to pay attention to the human aspect of security, which is based on interactions with strangers who may trick other gamers into revealing personal or financial information, that is, social engineering. There is little in the social gaming network literature to help players, researchers, and organizations to address the human aspect of online security, and thus there is a need to investigate the factors affecting this aspect of security. The current study aims to identify the factors influencing social engineering victimization in social gaming networks. The model developed in this study is based on the health belief model and cooperation and competition theory. The results show that the perceived severity of the threat, perceived barriers, perceived benefits, self-efficacy, competition, and cooperation are significant factors in the prediction of social engineering victimization.
abstractGer	Social gaming networks have become a new phenomenon, especially for young people, who may become addicted to some extent. However, this phenomenon also increases their susceptibility to hacking, cyber-attack, and other types of security breaches. Various studies have found that current technology is inadequate in terms of online security. Thus, researchers have started to pay attention to the human aspect of security, which is based on interactions with strangers who may trick other gamers into revealing personal or financial information, that is, social engineering. There is little in the social gaming network literature to help players, researchers, and organizations to address the human aspect of online security, and thus there is a need to investigate the factors affecting this aspect of security. The current study aims to identify the factors influencing social engineering victimization in social gaming networks. The model developed in this study is based on the health belief model and cooperation and competition theory. The results show that the perceived severity of the threat, perceived barriers, perceived benefits, self-efficacy, competition, and cooperation are significant factors in the prediction of social engineering victimization.
abstract_unstemmed	Social gaming networks have become a new phenomenon, especially for young people, who may become addicted to some extent. However, this phenomenon also increases their susceptibility to hacking, cyber-attack, and other types of security breaches. Various studies have found that current technology is inadequate in terms of online security. Thus, researchers have started to pay attention to the human aspect of security, which is based on interactions with strangers who may trick other gamers into revealing personal or financial information, that is, social engineering. There is little in the social gaming network literature to help players, researchers, and organizations to address the human aspect of online security, and thus there is a need to investigate the factors affecting this aspect of security. The current study aims to identify the factors influencing social engineering victimization in social gaming networks. The model developed in this study is based on the health belief model and cooperation and competition theory. The results show that the perceived severity of the threat, perceived barriers, perceived benefits, self-efficacy, competition, and cooperation are significant factors in the prediction of social engineering victimization.
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title_short	Factors Influencing Players’ Susceptibility to Social Engineering in Social Gaming Networks
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