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Identifying Vulnerabilities of Advanced Persistent Threats

An Organizational Perspective
Authors: Mathew Nicho; Shafaq Khan;

Identifying Vulnerabilities of Advanced Persistent Threats

Abstract

One of the most serious and persistent threat that has emerged in recent years combining technical as well as non-technical skills is the Advanced Persistent Threat, commonly known as APT where hackers circumvent the organizational defenses and instead target the naivety of the employees in making an unintentional mistake. While this threat has gained prominence in recent years, research on its cause and mitigation is still at the infancy stage. In this paper the authors explore APT vulnerabilities from an organizational perspective to create a taxonomy of non-technical and technical vulnerabilities. The objective is to enhance awareness and detection of APT vulnerabilities by managers and end users. To this end, the authors conducted interviews with senior IT managers in three large organizations in Dubai, United Arab Emirates. The analysis of the findings suggested that the APT threat environment is affected by multiple factors spanning primarily non-technical as well as technical vulnerabilities.

Related Organizations
Keywords

Information security, APT, Data breach, Social engineering, 1710 Information Systems, Phishing, Spear-phishing, Advanced persistent threats

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
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