Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model

Social engineering attacks are possibly one of the most dangerous forms of security and privacy attacks since they are technically oriented to psychological manipulation and have been growing in frequency with no end in sight. This research study assessed the major aspects and underlying concepts of...

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Main Authors: David Airehrour, Nisha Vasudevan Nair, Samaneh Madanian
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Information
Subjects:
Online Access:http://www.mdpi.com/2078-2489/9/5/110
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spelling doaj-e76affa3549243e1b9d8a7fcf63939e12020-11-24T22:23:55ZengMDPI AGInformation2078-24892018-05-019511010.3390/info9050110info9050110Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation ModelDavid Airehrour0Nisha Vasudevan Nair1Samaneh Madanian2Nelson Marlborough Institute of Technology, Nelson 7010, New ZealandNelson Marlborough Institute of Technology, Nelson 7010, New ZealandSchool of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New ZealandSocial engineering attacks are possibly one of the most dangerous forms of security and privacy attacks since they are technically oriented to psychological manipulation and have been growing in frequency with no end in sight. This research study assessed the major aspects and underlying concepts of social engineering attacks and their influence in the New Zealand banking sector. The study further identified attack stages and provided a user-reflective model for the mitigation of attacks at every stage of the social engineering attack cycle. The outcome of this research was a model that provides users with a process of having a reflective stance while engaging in online activities. Our model is proposed to aid users and, of course, financial institutions to re-think their anti-social engineering strategies while constantly maintaining a self-reflective assessment of whether they are being subjected to social engineering attacks while transacting online.http://www.mdpi.com/2078-2489/9/5/110social engineering attackcyber-attacksphishingmalwareNew Zealandbanking
collection DOAJ
language English
format Article
sources DOAJ
author David Airehrour
Nisha Vasudevan Nair
Samaneh Madanian
spellingShingle David Airehrour
Nisha Vasudevan Nair
Samaneh Madanian
Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model
Information
social engineering attack
cyber-attacks
phishing
malware
New Zealand
banking
author_facet David Airehrour
Nisha Vasudevan Nair
Samaneh Madanian
author_sort David Airehrour
title Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model
title_short Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model
title_full Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model
title_fullStr Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model
title_full_unstemmed Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model
title_sort social engineering attacks and countermeasures in the new zealand banking system: advancing a user-reflective mitigation model
publisher MDPI AG
series Information
issn 2078-2489
publishDate 2018-05-01
description Social engineering attacks are possibly one of the most dangerous forms of security and privacy attacks since they are technically oriented to psychological manipulation and have been growing in frequency with no end in sight. This research study assessed the major aspects and underlying concepts of social engineering attacks and their influence in the New Zealand banking sector. The study further identified attack stages and provided a user-reflective model for the mitigation of attacks at every stage of the social engineering attack cycle. The outcome of this research was a model that provides users with a process of having a reflective stance while engaging in online activities. Our model is proposed to aid users and, of course, financial institutions to re-think their anti-social engineering strategies while constantly maintaining a self-reflective assessment of whether they are being subjected to social engineering attacks while transacting online.
topic social engineering attack
cyber-attacks
phishing
malware
New Zealand
banking
url http://www.mdpi.com/2078-2489/9/5/110
work_keys_str_mv AT davidairehrour socialengineeringattacksandcountermeasuresinthenewzealandbankingsystemadvancingauserreflectivemitigationmodel
AT nishavasudevannair socialengineeringattacksandcountermeasuresinthenewzealandbankingsystemadvancingauserreflectivemitigationmodel
AT samanehmadanian socialengineeringattacksandcountermeasuresinthenewzealandbankingsystemadvancingauserreflectivemitigationmodel
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