Work-in-Progress: Enabling Secure Programming in C++ & Java through Practice Oriented Modules
Notice bibliographique
Résumé
Nowadays, cyberattack incidents are happening on a daily basis. As a result, the demand for a larger and more challenging workforce is increasing. To handle this demand, academic institutions offer cybersecurity courses and degree programs into their curricula; however, more efforts are needed to address the high demand of the cybersecurity workforce. This work aims to bridge the gap between workforce shortage and the number of qualified graduates to fill the positions. We approach this by introducing cybersecurity concepts at the early stage of undergraduate curricula of computer science and engineering programs. Secure programming is critical as many cybersecurity incidents happen due to software vulnerabilities. However, most UG-level programming courses pay little attention to secure programming practices. As a result, many students graduate with limited knowledge of security vulnerabilities that might plague the developed software. Our goal in this work is to introduce secure programming at introductory level programming courses so that students should be aware of cybersecurity issues and use this security mindset in advanced level courses and projects in their degree programs. To accomplish this goal, we developed intuitive and interactive modules emphasizing secure programming in C++ and Java courses to help students become secure software developers. These modules will be used alongside the coursework to emphasize certain vulnerabilities within the programming environment of a specific language and allow students to learn cybersecurity topics, enforcing a solid foundation and understanding. We developed cybersecurity educational modules for C++ and Java as they are amongst the popular languages and used in introductory programming courses. While designing these modules, we kept in mind that the topics must be relevant to real-world issues in the software industry. We used a variety of resources and benchmarks to ensure the authenticity of our chosen topics, including Common Weakness Enumeration (CWE) and Common Vulnerability and Exposures (CVE). While choosing module topics to develop, we had some restrictions. For example, the topics must be introductory and easy to understand. These modules are geared towards freshman or sophomore-level UG students who have just started programming. The developed security modules have four components: power-point slides, lab description, code template for the lab, and complete solution. The complete solution for each module will be provided to the instructors to check students’ work if they adopt the modules in their courses. The modules developed for a C++ programming course include labs on input validation, integer overflow, random number generation, function call with incorrect argument type, and dangling pointers. In Java, we developed lab modules for input validation, integer overflow, null object reference, random number generator, and data encapsulation.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,003 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».