Automated Player Activity Analysis for a Serious Game About Social Engineering

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

2 Scopus citations

Abstract

This article proposes a mathematical model that helps to track a player’s game actions and present them in a structured form. The gaming process is presented as a set of states that are connected by a player’s actions. Each state is a set of predicates that characterize the player’s knowledge about the game. This mathematical model was developed as a step in achieving the general goal of the research branch, which is to increase the safety of an information system from social engineering attacks by developing a serious game. This serious game is aimed at improving players’ skills in recognition and counteraction to social engineering attacks as well as at raising awareness among employees.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer Nature
Pages587-599
Number of pages13
DOIs
StatePublished - 2021

Publication series

NameStudies in Systems, Decision and Control
Volume337
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Automotive Engineering
  • Social Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Control and Optimization
  • Decision Sciences (miscellaneous)

Keywords

  • Game environment for social engineering attacks
  • Graph theory
  • Information security
  • Social engineering attacks
  • User protection

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