Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
February 27, 2018Human-centric Computing and Information SciencesOpen Access

User characteristics that influence judgment of social engineering attacks in social networks

View Full Paper
Ask AI
Bookmark
Share

Authors

SASamar Muslah AlbladiUniversity of JeddahGWGeorge R. S. WeirUniversity of Strathclyde

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Albladi et al. (2018) studied this question.

synapsesocial.com/papers/6a101c3ed8c5cf602efdaeabhttps://doi.org/10.1186/s13673-018-0128-7
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Towards understanding phishing victims' profile2012 · 67 citations
  2. 2Wisecrackers: A theory‐grounded investigation of phishing and pretext social engineering threats to information security2007 · 201 citations
  3. 3Panning for gold: Automatically analysing online social engineering attack surfaces2016 · 83 citations
  4. 4Social engineering in social networking sites: Affect-based model2013 · 38 citations