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Search: WFRF:(Tjoa Simon)

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1.
  • Ameel, Hans, et al. (author)
  • Experiences From a Multi-National Course in Cybersecurity Awareness Raising
  • 2023
  • In: International Journal of Information Security and Cybercrime (IJISC). - : The Romanian Association for Information Security Assurance (RAISA). - 2285-9225 .- 2286-0096. ; 12:1, s. 18-22
  • Journal article (peer-reviewed)abstract
    • The European Union (EU), as well as the entire world, is facing emerging challenges in the cybersecurity domain. Two of the most prominent challenges are citizens’ cybersecurity awareness which is the first line of defense against cybersecurity incidents, and the cybersecurity skill gap expected to lead to a future shortage of cybersecurity professionals. This paper presents an effort to combat those issues through the implementation of an intra-European course on cybersecurity awareness. The course engages university students from four EU member states who learn about increasing cybersecurity awareness while practically developing cybersecurity awareness activities for preadolescents. The paper provides an overview of the course and lessons learned from implementing it in international cooperation. The intention is to provide a guide for the development of such courses and outline success factors others can adopt and pitfalls that should be avoided.
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2.
  • Huber, Markus, et al. (author)
  • Towards Automating Social Engineering Using Social Networking Sites
  • 2009
  • In: 2009 International Conference on Computational Science and Engineering. - : IEEE Computer Society. - 9780769538235 ; , s. 117-124
  • Conference paper (peer-reviewed)abstract
    • A growing number of people use social networking sites to foster social relationships among each other. While the advantages of the provided services are obvious, drawbacks on a users’ privacy and arising implications are often neglected. In this paper we introduce a novel attack called automated social engineering which illustrates how social networking sites can be used for social engineering. Our approach takes classical social engineering one step further by automating tasks which formerly were very time-intensive. In order to evaluate our proposed attack cycle and our prototypical implementation (ASE bot), we conducted two experiments. Within the first experiment we examine the information gathering capabilities of our bot. The second evaluation of our prototype performs a Turing test. The promising results of the evaluation highlightthe possibility to efficiently and effectively perform social engineering attacks by applying automated social engineering bots.
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