Zero-Day Threats Detection for Critical Infrastructures

Nkongolo, Mike; Tokmak, Mahmut

doi:10.1007/978-3-031-39652-6_3

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…It aids in preventing data breaches, financial losses, and reputational damage, while also educating about personal privacy protection and secure online practices. Moreover, it ensures compliance with industry regulations, defends against social engineering tactics, and safeguards critical infrastructure from potential disruptions (Naidoo & Jacobs, 2023;Nkongolo & Tokmak, 2023). Embracing cybersecurity awareness reflects a global responsibility to maintain a secure digital landscape, fostering responsible online behavior and contributing to a safer internet for everyone.…”

Section: Introductionmentioning

confidence: 99%

Infusing Morabaraba game design to develop a cybersecurity awareness game (CyberMoraba)

Wa Nkongolo

2024

iccws

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Numerous studies have confirmed the effectiveness of Cybersecurity Awareness Games (CAGs) in enhancing the security posture of diverse organizations. As these organizations increasingly face the formidable challenge of cyberattacks, implementing serious CAGs to solve this issue has become a paramount concern. This article introduces an innovative approach to cybersecurity education by presenting a serious CAG. The game aims to effectively educate students about critical aspects of cybersecurity awareness engagingly and interactively. The study aimed to redefine cybersecurity awareness training by introducing an indigenous game design that intricately incorporates the traditional South African Morabaraba board game. While the effectiveness of non-indigenous games like "Capture The Flag (CTF)" in cybersecurity training is acknowledged, indigenous designs have been overlooked. This research creatively integrates Morabaraba's gameplay into cybersecurity training, adapting it into a competitive game where players adopt the roles of either defenders or attackers, with corresponding tokens/images symbolizing various cyber defense and attack strategies. Both the defenders and attackers in the game can elevate their awareness scores by strategically positioning defensive or attacking images on the game board. Subsequently, a judging entity assesses the players' moves and assigns scores based on the accuracy of the images placed. The game mirrors real-world scenarios, promoting strategic thinking and leveraging interactive gameplay for practical insights into cybersecurity awareness. Players demonstrate their cybersecurity knowledge through offensive and defensive strategies. A group of 40 students evaluated the game's effectiveness, highlighting its potential to create an engaging and competitive learning environment that imparts cybersecurity principles and practical application. The evaluation of the game mechanics demonstrated a remarkably positive outcome, with students expressing both enjoyment and an enhanced understanding of cybersecurity awareness.

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Section: Introductionmentioning

confidence: 99%

Infusing Morabaraba game design to develop a cybersecurity awareness game (CyberMoraba)

Wa Nkongolo

2024

iccws

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News Classification and Categorization with Smart Function Sentiment Analysis

Nkongolo Wa Nkongolo

2023

International Journal of Intelligent Systems

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Search engines are tools used to find information on the Internet. Since the web has a plethora of websites, the engine queries the majority of active sites and builds a database organized according to keywords utilized in the search. Because of this, when a user types a few descriptive words on the home page of the search engine, the search function lists websites corresponding to these keywords. However, there are some problems with this search approach. For instance, if a user wants information about the word Jaguar, most search results are animals and cars. This is a polysemic problem that forces search engines to always provide the most popular but not the most relevant results. This article presents a study of using sentiment technology to help news classification and categorization and improve the classification accuracy. We have introduced a smart search function embedded into a search engine to tackle polysemic issues and record relevant results to determine their sentimentality. Therefore, this study presents a topic that involves several aspects of natural language processing (NLP) and sentiment analysis for news categorization and classification. A web crawler was used to collect British Broadcasting Corporation (BBC) news across the Internet, carried out preprocessing of text by using NLP, and applied sentiment analysis methods to determine the polarity of the processed text data. The sentimentality represents negative, positive, or neutral polarities assigned by the sentiment analysis algorithms. The research utilized the BBC news site to collect different information using a web crawler and a database to explore the sentimentality of BBC news. The natural language toolkit (NLTK) and BM25 indexed and preprocessed patterns in the database. The experimental results depict the proposed search function surpassing normal search with an accuracy rate of 85%. Moreover, the results show a negative polarity of BBC news using the Sentistrength algorithm. Furthermore, the Valence Aware Dictionary and sEntiment Reasoner (VADER) was the best-performing sentiment analysis model for news classification. This model obtained an accuracy of 85% using data collected with the proposed smart function.

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Zero-Day Threats Detection for Critical Infrastructures

Cited by 2 publications

References 14 publications

Infusing Morabaraba game design to develop a cybersecurity awareness game (CyberMoraba)

Infusing Morabaraba game design to develop a cybersecurity awareness game (CyberMoraba)

News Classification and Categorization with Smart Function Sentiment Analysis

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