Next Article in Journal
Can Digital Computers Support Ancient Mathematical Consciousness?
Next Article in Special Issue
Hardware Support for Security in the Internet of Things: From Lightweight Countermeasures to Accelerated Homomorphic Encryption
Previous Article in Journal
Ontology-Based Domain Analysis for Model Driven Pervasive Game Development
Previous Article in Special Issue
On the Users’ Acceptance of IoT Systems: A Theoretical Approach
Open AccessArticle

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

1
Nelson Marlborough Institute of Technology, Nelson 7010, New Zealand
2
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand
*
Author to whom correspondence should be addressed.
Information 2018, 9(5), 110; https://doi.org/10.3390/info9050110
Received: 21 March 2018 / Revised: 23 April 2018 / Accepted: 1 May 2018 / Published: 3 May 2018
(This article belongs to the Special Issue Security in the Internet of Things)
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. View Full-Text
Keywords: social engineering attack; cyber-attacks; phishing; malware; New Zealand; banking social engineering attack; cyber-attacks; phishing; malware; New Zealand; banking
Show Figures

Figure 1

MDPI and ACS Style

Airehrour, D.; Vasudevan Nair, N.; Madanian, S. Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model. Information 2018, 9, 110.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop