Analysis and Evaluation of Capture the Flag Challenges in Secure Mobile Application Development

 Paper Title:

Analysis and Evaluation of Capture the Flag Challenges in Secure Mobile Application Development


Authors:

Stylianos Karagiannis1, 2, Emmanouil Magkos1, George Chalavazis1 and Maria Nefeli Nikiforos1,1Ionian University, Greece, 2PDMFC, Portugal


Abstract:

Capture the Flag (CTF) challenges are frequently used as cybersecurity learning environments to engage students in cybersecurity education activities and learning, focusing on technical concepts. CTF challenges cover various learning topics. However, they do not always maintain a clear learning outcome. In this paper, we present a systematic approach to study and evaluate CTF challenges, then apply the evaluation methodology in two CTF challenges that relate to the development of secure mobile applications. For this proof of concept, we used the National Initiative for Cybersecurity Education (NICE) which is a cybersecurity educational framework published by the National Institute of Standards and Technology (NIST). Additional information was used for the evaluation process which included threat, vulnerability, and weakness taxonomies proposed by Open Web Application Security Project® (OWASP) and Mitre Corporation (MITRE). The evaluation methodology could be used to assess and determine the learning outcomes of other existing or upcoming CTF challenges, including though not limited to secure mobile application development.


Keywords:

Cybersecurity, Mobile Application Development, Capture the Flag, OWASP, MITRE, NICE Framework.


Volume URL: https://airccse.org/journal/ijite/vol11.html


Abstract URL: https://aircconline.com/abstract/ijite/v11n2/11222ijite02.html


Pdf URL: https://aircconline.com/ijite/V11N2/11222ijite02.pdf


#cybersecurity #mobileapplicationdevelopment #capturetheflag #owasp #mitre #niceframework #callforpapers #researchpapers #cfp #researchers #phdstudent #education #learning #online #researchScholar #journalpaper #submission #journalsubmission



Comments

Post a Comment

Popular posts from this blog

AN EXPLORATION OF THE RELATIONSHIP BETWEEN MODERN FOREIGN LANGUAGE (MFL) TEACHERS AND COMPUTER ASSISTED LANGUAGE LEARNING (CALL)

 Louise Hanna, Dr. David Barr, Dr. Helen Hou and Shauna McGill School of Education, Ulster University, UK  ABSTRACT  A study was carried out with 33 teachers of Modern Foreign Languages (MFL) to obtain information on the interaction of classroom professionals with Computer Assisted Language Learning (CALL) and digital technologies in Second Language (L2) education. MFL teachers were recruited through Facebook groups in the UK. Research subjects were asked to fill out a questionnaire with CALL-specific statements. Significantly, participants recognised a gap in practice versus the expectation of CALL in the MFL classroom. Overall, participants were shown to be interested adopted and daily users of CALL who appreciated its ease and importance for teaching and learning in L2 pedagogy.  KEYWORDS  Computer Assisted Language Learning (CALL), Modern Foreign Languages (MFL), teacher attitudes, digital technologies, Second Language (L2) pedagogy, Second Language Acquisit...
Read more

Generative AI as a New Paradigm for Personalized Tutoring in Modern Education

Image
 Paper Title: Generative AI as a New Paradigm for Personalized Tutoring in Modern Education Authors: Maikel Leon, University of Miami, USA Abstract: Conventional education often falls short when delivering personalized and immediate support to all students, resulting in disparities in understanding and unequal learning opportunities. Generative Artificial Intelligence (GenAI) provides a scalable and cost-effective solution for on-demand tutoring, offering personalized support 24/7. This paper delves into the potential application of GenAI as an on-demand tutoring system, addressing the critical need for immediate and personalized educational support. Implementing GenAI to establish an on-demand tutoring system that delivers personalized, real-time assistance is vital in meeting the demands of today’s academic landscape. Critical components of this approach encompass advanced natural language processing techniques to comprehend and respond to student inquiries, machine learning algo...
Read more

ONLINE VERSUS FACE-TO-FACE LEARNING: STUDENTS’ PREFERENCES DURING CRISIS TIMES

Image
 Paper Title: Online Versus Face-to-Face Learning: Students’ Preferences During Crisis Times Authors: Ayelet Ayalon and Noa Aharony, Department of Information Science, Bar-Ilan University Israel Abstract: In March 2020, the world faced an abrupt global health crisis as the pandemic rapidly spread, leading to widespread school closures. Our research explored students' online learning preferences during this crisis, considering a range of variables including age, gender, and personal characteristics. We used a quantitative approach to gather data through six online questionnaires covering demographic details, personality traits, self-efficacy, attitude toward technology, parental support, and learning preferences. Findings reveal that students who held a more favorable attitude towards technology, perceived higher levels of academic achievements and parental support, were inclined to favor online platforms to a greater extent. Keywords: Online learning, personality traits, self-effic...
Read more