POINTER: a GDPR-compliant framework for human pentesting (for SMEs)

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Abstract

Penetration tests have become a valuable tool in any organisation’s arsenal, in terms of detecting vulnerabilities in their technical defences. Many organisations now also “penetration test” their employees, assessing their resilience and ability to repel human-targeted attacks. There are two problems with current frameworks: (1) few of these have been developed with SMEs in mind, and (2) many deploy spear phishing, thereby invading employee privacy, which could be illegal under the new European General Data Protection Regulation (GDPR) legislation. We therefore propose the PoinTER (Prepare TEst Remediate) Human Pentesting Framework. We subjected this framework to expert review and present it to open a discourse on the issue of formulating a GDPR- compliant Privacy-Respecting Employee Pentest for SMEs.
Original languageEnglish
Title of host publicationProceedings of the Twelfth International Symposium on Human Aspects of Information Security & Assurance (HAISA 2018)
EditorsNathan Clarke, Steven Furnell
Place of PublicationPlymouth
PublisherCentre for Security, Communications & Network Research, University of Plymouth
Pages147-157
Number of pages11
ISBN (Print)9780244402549
Publication statusPublished - 9 Sep 2018
Event12th International Symposium on Human Aspects of Information Security & Assurance - Dundee Business School, Abertay University, Dundee, United Kingdom
Duration: 29 Aug 201831 Aug 2018
Conference number: 12
http://www.haisa.org/?page=home

Conference

Conference12th International Symposium on Human Aspects of Information Security & Assurance
Abbreviated titleHAISA 2018
CountryUnited Kingdom
CityDundee
Period29/08/1831/08/18
Internet address

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    Jacqueline Archibald

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    Cite this

    Archibald, J., & Renaud, K. (2018). POINTER: a GDPR-compliant framework for human pentesting (for SMEs). In N. Clarke, & S. Furnell (Eds.), Proceedings of the Twelfth International Symposium on Human Aspects of Information Security & Assurance (HAISA 2018) (pp. 147-157). Centre for Security, Communications & Network Research, University of Plymouth. https://www.cscan.org/?page=openaccess&eid=20&id=386