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相关论文: Capture the Flag for Team Construction in Cybersec…

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The concept of Capture the Flag (CTF) games for practicing cybersecurity skills is widespread in informal educational settings and leisure-time competitions. However, it is not much used in university courses. This paper summarizes our…

密码学与安全 · 计算机科学 2020-04-27 Jan Vykopal , Valdemar Švábenský , Ee-Chien Chang

Cybersecurity training has become a crucial part of computer science education and industrial onboarding. Capture the Flag (CTF) competitions have emerged as a valuable, gamified approach for developing and refining the skills of…

密码学与安全 · 计算机科学 2025-06-02 Yuwei Yang , Skyler Grandel , Daniel Balasubramanian , Yu Huang , Kevin Leach

Capture The Flag (CTF) challenges are puzzles related to computer security scenarios. With the advent of large language models (LLMs), more and more CTF participants are using LLMs to understand and solve the challenges. However, so far no…

密码学与安全 · 计算机科学 2024-02-20 Minghao Shao , Boyuan Chen , Sofija Jancheska , Brendan Dolan-Gavitt , Siddharth Garg , Ramesh Karri , Muhammad Shafique

This article examines the integration of IT competitions, in particular Capture The Flag, into an information systems management course to fill skills gaps, particularly in the field of cybersecurity. An educational CTF team has been set up…

计算机与社会 · 计算机科学 2024-05-22 Yann Goetgheluck , Sarah Mernit , Julie Pereira

Capture-the-Flag (CTF) competitions are increasingly becoming a testbed for evaluating AI capabilities at solving security tasks, due to the controlled environments and objective success criteria. Existing evaluations have focused on how…

Capture the Flag (CTF) competitions represent a powerful experiential learning approach within cybersecurity education, blending diverse concepts into interactive challenges. However, the short duration (typically 24-48 hours) and ephemeral…

密码学与安全 · 计算机科学 2025-12-02 Pratham Gupta , Aditya Gabani , Connor Nelson , Yan Shoshitaishvili

Capture the Flag (CTF) competitions are powerful pedagogical tools for addressing the global cybersecurity workforce gap, yet their effective K-12 implementation is often undermined by significant barriers, including educator preparedness…

计算机与社会 · 计算机科学 2026-02-20 Tran Duc Le , Truong Duy Dinh , Phuc Hao Do , Van Dai Pham , Nam Son Nguyen

Rooted in collaborative efforts, cybersecurity spans the scope of cyber competitions and warfare. Despite extensive research into team strategy in sports and project management, empirical study in cyber-security is minimal. This gap…

密码学与安全 · 计算机科学 2023-07-21 Tristan J. Calay , Basheer Qolomany , Aos Mulahuwaish , Liaquat Hossain , Jacques Bou Abdo

Understanding how cognitive biases influence adversarial decision-making is essential for developing effective cyber defenses. Capture-the-Flag (CTF) competitions provide an ecologically valid testbed to study attacker behavior at scale,…

密码学与安全 · 计算机科学 2025-10-08 Carolina Carreira , Anu Aggarwal , Alejandro Cuevas , Maria José Ferreira , Hanan Hibshi , Cleotilde Gonzalez

Capture The Flag (CTF) competitions have established themselves as a highly effective pedagogical tool in cybersecurity education, offering students hands-on experience in realistic attack and defense scenarios. However, organizing and…

密码学与安全 · 计算机科学 2026-04-14 Carlos Jimeno Miguel , Mikel Izal

Capture the Flag challenges are a popular form of cybersecurity education, where students solve hands-on tasks in an informal, game-like setting. The tasks feature diverse assignments, such as exploiting websites, cracking passwords, and…

密码学与安全 · 计算机科学 2021-01-06 Valdemar Švábenský , Pavel Čeleda , Jan Vykopal , Silvia Brišáková

In cybersecurity, Intrusion Detection Systems (IDS) serve as a vital defensive layer against adversarial threats. Accurate benchmarking is critical to evaluate and improve IDS effectiveness, yet traditional methodologies face limitations…

密码学与安全 · 计算机科学 2025-01-22 Manuel Kern , Florian Skopik , Max Landauer , Edgar Weippl

Capture-the-Flag (CTF) competitions serve as gateways into offensive cybersecurity, yet they often present steep barriers for novices due to complex toolchains and opaque workflows. Recently, agentic AI frameworks for cybersecurity promise…

密码学与安全 · 计算机科学 2026-02-23 Cathrin Schachner , Jasmin Wachter

This paper lays out two teaching/learning methods that are becoming increasingly prevalent in computer science - hackathons, and Capture the Flag (CTF) competitions - and the pedagogic theory that underpins them. A case study of each is…

计算机与社会 · 计算机科学 2020-06-09 Tom Goodman , Andreea-Ina Radu

Industry standard frameworks are now widespread for labeling the high-level stages and granular actions of attacker and defender behavior in cyberspace. While these labels are used for atomic actions, and to some extent for sequences of…

密码学与安全 · 计算机科学 2023-07-21 Georgel Savin , Ammar Asseri , Josiah Dykstra , Jonathan Goohs , Anthony Melarano , William Casey

Large language models are rapidly changing how learners acquire and demonstrate cybersecurity skills. However, when human--AI collaboration is allowed, educators still lack validated competition designs and evaluation practices that remain…

In this paper, we present CTF Pilot, a GitOps-based framework for the deployment and management of Capture The Flag (CTF) competitions. By leveraging Git repositories as the single source of truth for challenge definitions and…

软件工程 · 计算机科学 2026-03-18 Mikkel Bengtson Albrechtsen , Jacopo Mauro , Torben Worm

Capture-the-Flag (CTF) competitions are crucial for cybersecurity education and training. As large language models (LLMs) evolve, there is increasing interest in their ability to automate CTF challenge solving. For example, DARPA has…

人工智能 · 计算机科学 2025-06-24 Zimo Ji , Daoyuan Wu , Wenyuan Jiang , Pingchuan Ma , Zongjie Li , Shuai Wang

Recent advances in Large Language Models (LLMs) have enabled agentic systems for complex, multi-step tasks; cybersecurity is emerging as a prominent application. To evaluate such agents, researchers widely adopt Capture The Flag (CTF)…

机器学习 · 计算机科学 2026-05-13 Dongjun Lee , Ga-eun Bae , Insu Yun

Agentic large language models (LLMs) are increasingly evaluated on cybersecurity tasks using capture-the-flag (CTF) benchmarks, yet existing pointwise benchmarks offer limited insight into agent robustness and generalisation across…

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