Analyzing User Interactions with Cybersecurity Games

a 2019

Analyzing User Interactions with Cybersecurity Games

ŠVÁBENSKÝ, Valdemar

Basic information

Original name

Analyzing User Interactions with Cybersecurity Games

Authors

ŠVÁBENSKÝ, Valdemar (703 Slovakia, guarantor, belonging to the institution)

Edition

Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE’19), 2019

Other information

Language

English

Type of outcome

Konferenční abstrakt

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14330/19:00108980

Organization unit

Faculty of Informatics

ISBN

978-1-4503-5890-3

DOI

http://dx.doi.org/10.1145/3287324.3293717

Keywords in English

Cybersecurity games; Capture the flag; Learning analytics

Abstract

V originále

Capture the Flag games are software applications designed to exercise cybersecurity concepts, practice using security tools, and understand cyber attacks and defense. We develop and employ these games at our university for training purposes, unlike in the traditional competitive setting. During the gameplay, it is possible to collect data about players’ in-game actions, such as typed commands or solution attempts, including the timing of these actions. Although such data was previously employed in computer security research, to the best of our knowledge, there were few attempts to use this data primarily to improve education. In particular, we see an open and challenging research problem in creating an artificial intelligence assistant that would facilitate the learning of each player. Our goal is to propose, apply, and experimentally evaluate data analysis and machine learning techniques to derive information about the players' interactions from the in-game data. We want to use this information to automatically provide each player with a personalized formative assessment. Such assessment will help the players identify their mastered concepts and areas for improvement, along with suggestions and actionable steps to take. Furthermore, we want to identify high- or low-performing players during the game, and subsequently, offer them game tasks more suitable to their skill level. These interventions would supplement or even replace feedback from instructors, which would significantly increase the learning impact of the games, enable more students to learn cybersecurity skills at an individual pace, and lower the costs.

Links

MUNI/A/1145/2018, interní kód MU

Name: Aplikovaný výzkum na FI: softwarové architektury kritických infrastruktur, bezpečnost počítačových systémů, techniky pro zpracování a vizualizaci velkých dat a rozšířená realita.

Investor: Masaryk University, Critical Infrastructure Software Architectures, Computer Systems Security, Data Processing and Visualization Techniques, and Augmented Reality, Category A

Citovat

ŠVÁBENSKÝ, Valdemar. Analyzing User Interactions with Cybersecurity Games. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE’19). 2019. ISBN 978-1-4503-5890-3. Available from: https://dx.doi.org/10.1145/3287324.3293717.

@proceedings{1483458,
   author = {Švábenský, Valdemar},
   booktitle = {Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE’19)},
   doi = {http://dx.doi.org/10.1145/3287324.3293717},
   keywords = {Cybersecurity games; Capture the flag; Learning analytics},
   language = {eng},
   isbn = {978-1-4503-5890-3},
   title = {Analyzing User Interactions with Cybersecurity Games},
   year = {2019}
}

TY  - CONF
ID  - 1483458
AU  - Švábenský, Valdemar
PY  - 2019
TI  - Analyzing User Interactions with Cybersecurity Games
SN  - 9781450358903
KW  - Cybersecurity games
KW  - Capture the flag
KW  - Learning analytics
N2  - Capture the Flag games are software applications designed to exercise cybersecurity concepts, practice using security tools, and understand cyber attacks and defense. We develop and employ these games at our university for training purposes, unlike in the traditional competitive setting. During the gameplay, it is possible to collect data about players’ in-game actions, such as typed commands or solution attempts, including the timing of these actions. Although such data was previously employed in computer security research, to the best of our knowledge, there were few attempts to use this data primarily to improve education. In particular, we see an open and challenging research problem in creating an artificial intelligence assistant that would facilitate the learning of each player. Our goal is to propose, apply, and experimentally evaluate data analysis and machine learning techniques to derive information about the players' interactions from the in-game data. We want to use this information to automatically provide each player with a personalized formative assessment. Such assessment will help the players identify their mastered concepts and areas for improvement, along with suggestions and actionable steps to take. Furthermore, we want to identify high- or low-performing players during the game, and subsequently, offer them game tasks more suitable to their skill level. These interventions would supplement or even replace feedback from instructors, which would significantly increase the learning impact of the games, enable more students to learn cybersecurity skills at an individual pace, and lower the costs.
ER  -

ŠVÁBENSKÝ, Valdemar. Analyzing User Interactions with Cybersecurity Games. In \textit{Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE’19)}. 2019. ISBN~978-1-4503-5890-3. Available from: https://dx.doi.org/10.1145/3287324.3293717.

Detailed Information on Publication Record