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Related papers: CTF for education

200 papers

Federated Learning (FL) as a distributed learning paradigm that aggregates information from diverse clients to train a shared global model, has demonstrated great success. However, malicious clients can perform poisoning attacks and model…

Machine Learning · Computer Science 2021-06-16 Chulin Xie , Minghao Chen , Pin-Yu Chen , Bo Li

The advent of Federated Learning (FL) as a distributed machine learning paradigm has introduced new cybersecurity challenges, notably adversarial attacks that threaten model integrity and participant privacy. This study proposes an…

Cryptography and Security · Computer Science 2024-03-18 Zahir Alsulaimawi

The Chip Firing Game (CFG) is a discrete dynamical model used in physics, computer science and economics. It is known that the set of configurations reachable from an initial configuration (this set is called the configuration space) can be…

Combinatorics · Mathematics 2007-05-23 Clemence Magnien , Ha Duong Phan , Laurent Vuillon

Cyber security has become an issue of national concern in the UK, USA and many other countries worldwide. Universities have reacted to this by launching numerous cyber security degree programmes. In this paper we explore the structure of…

Computers and Society · Computer Science 2022-12-14 Lallie Harjinder , Sinclair Jane , Joy Mike , Janicke Helge , Price Blaine , Howley Richard

The increased demand of cyber security professionals has also increased the development of new platforms and tools that help those professionals to improve their offensive skills. One of these platforms is HackTheBox, an online cyber…

Cryptography and Security · Computer Science 2024-01-05 Ariel R. Ril , Daniel Dalalana Bertoglio , Avelino F. Zorzo

As the number and complexity of malware attacks continue to increase, there is an urgent need for effective malware detection systems. While deep learning models are effective at detecting malware, they are vulnerable to adversarial…

Cryptography and Security · Computer Science 2023-12-18 Mahesh Datta Sai Ponnuru , Likhitha Amasala , Tanu Sree Bhimavarapu , Guna Chaitanya Garikipati

Federated Learning (FL) has emerged as a promising approach to address data privacy and confidentiality concerns by allowing multiple participants to construct a shared model without centralizing sensitive data. However, this decentralized…

Cryptography and Security · Computer Science 2023-07-25 Jahid Hasan

Federated learning (FL) enables privacy-preserving collaborative model training but remains vulnerable to adversarial behaviors that compromise model utility or fairness across sensitive groups. While extensive studies have examined attacks…

Machine Learning · Computer Science 2025-11-13 Yanli Li , Yanan Zhou , Zhongliang Guo , Nan Yang , Yuning Zhang , Huaming Chen , Dong Yuan , Weiping Ding , Witold Pedrycz

This listing contains a total of 80 gamification applications (GA)s used in cyber security operations (CSO) undergraduate education, from 74 publications, published between 2007 and June 2022. The listing outlines each GA identified and…

Cryptography and Security · Computer Science 2024-06-27 Sherri Weitl-Harms , Adam Spanier , John D. Hastings

The crowd sourced security industry, particularly bug bounty programs, has grown dramatically over the past years and has become the main source of software security reviews for many companies. However, the academic literature has largely…

Cryptography and Security · Computer Science 2022-04-28 Alejandro Cuevas , Emma Hogan , Hanan Hibshi , Nicolas Christin

The decentralized nature of federated learning makes detecting and defending against adversarial attacks a challenging task. This paper focuses on backdoor attacks in the federated learning setting, where the goal of the adversary is to…

Machine Learning · Computer Science 2019-12-04 Ziteng Sun , Peter Kairouz , Ananda Theertha Suresh , H. Brendan McMahan

Awareness of cybersecurity topics, e.g., related to secure coding guidelines, enables software developers to write secure code. This awareness is vital in industrial environments for the products and services in critical infrastructures. In…

Software Engineering · Computer Science 2021-02-23 Tiago Espinha Gasiba , Ulrike Lechner , Maria Pinto-Albuquerque

This paper presents how learning experience influences students' capability to learn and their motivation for learning. Although each student is different, standard instruction methods do not adapt to individuals. Adaptive learning reverses…

Cryptography and Security · Computer Science 2022-01-06 Pavel Seda , Jan Vykopal , Valdemar Švábenský , Pavel Čeleda

Federated learning suffers from several privacy-related issues that expose the participants to various threats. A number of these issues are aggravated by the centralized architecture of federated learning. In this paper, we discuss…

Cryptography and Security · Computer Science 2020-04-24 Aidmar Wainakh , Alejandro Sanchez Guinea , Tim Grube , Max Mühlhäuser

Phishing continues to be a difficult problem for individuals and organisations. Educational games and simulations have been increasingly acknowledged as enormous and powerful teaching tools, yet little work has examined how to engage users…

Computers and Society · Computer Science 2019-03-08 Matt Dixon , Nalin Asanka Gamagedara Arachchilage , James Nicholson

In recent years, the emphasis on computational thinking (CT) has intensified as an effect of accelerated digitalisation. While most researchers are concentrating on defining CT and developing tools for its instruction and assessment, we…

Human-Computer Interaction · Computer Science 2025-03-20 Giorgia Adorni , Alberto Piatti , Engin Bumbacher , Lucio Negrini , Francesco Mondada , Dorit Assaf , Francesca Mangili , Luca Gambardella

With computing now ubiquitous across government, industry, and education, cybersecurity has become a critical component for every organization on the planet. Due to this ubiquity of computing, cyber threats have continued to grow year over…

Cryptography and Security · Computer Science 2024-12-03 Erick Galinkin , Emmanouil Pountrourakis , Spiros Mancoridis

Cyber threat intelligence is the provision of evidence-based knowledge about existing or emerging threats. Benefits from threat intelligence include increased situational awareness, efficiency in security operations, and improved…

Cryptography and Security · Computer Science 2023-08-29 Vasileios Mavroeidis , Siri Bromander

Cybersecurity is increasingly a concern for small and medium-sized enterprises (SMEs), and there exist many awareness training programs and tools for them. The literature mainly studies SMEs as a unitary type of company and provides…

Cryptography and Security · Computer Science 2021-10-12 Alireza Shojaifar , Heini Jarvinen

The hands-on cybersecurity training quality is crucial to mitigate cyber threats and attacks effectively. However, practical cybersecurity training is strongly process-oriented, making the post-training analysis very difficult. This paper…

Cryptography and Security · Computer Science 2022-03-30 Martin Macak , Radek Oslejsek , Barbora Buhnova