An ontology-driven framework for knowledge representation of digital extortion attacks

Keshavarzi, Masoudeh; Ghaffary, Hamid Reza

doi:10.1016/j.chb.2022.107520

Cited by 16 publications

(8 citation statements)

References 62 publications

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“…The proposed framework addresses each field's challenges and outlines the proposed solutions. (1) Cyber security [22,23,24] explored cybersecurity threats in various business spheres, proposing an ontology-driven framework for addressing challenges. These studies focused on various aspects of cybersecurity, aiming to provide a comprehensive solution.…”

Section: Rq1 Discussionmentioning

confidence: 99%

“…They propose knowledge graphs for security modeling and an ontology classification framework for cybersecurity terminology validation, addressing threats and attacks on large organizations. [24] argue that ontologies, designed to address domain knowledge questions, can help automate threat modelling by simplifying data creation. They believe that ontologies are the solution to cyber security challenges, as they address the lack of context in the data collected.…”

Section: Rq1 Discussionmentioning

confidence: 99%

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Innovative Emerging Ontology-driven Frameworks: A Systematic Literature Review

Mokgetse,

Hlomani,

Sigwele

2023

IJEEI

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Previous research has shown that ontologies and related semantic web technologies have positioned themselves as good solutions for data integration and resource reusability. Pitfalls and traps in modelling domains can be avoided if researchers and scholars adopt and use ontology-driven frameworks for their research. This research work aims to review currently developed or proposed ontology-driven frameworks, and clearly illustrate their development, application, and practicality. The review then ultimately addresses three main research questions driving the literature review through a synthesis of information that exists about ontology-driven frameworks. Search strings were used to obtain articles from online electronic databases. The PRISMA chart was used for the final selection of the 60 articles for review. A method of scoring called the Assessment of Multiple System Reviews (AMSTAR) was used on the included studies for quality assessment. The AMSTAR mean overall result was 9, the median 10, and the standard deviation 0.99. The results reveal a downward trend of ontologies in 2010, with Web Ontology Language (OWL) being the most used language for ontology-driven frameworks and systems, with over 70% usage.

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Section: Rq1 Discussionmentioning

confidence: 99%

Section: Rq1 Discussionmentioning

confidence: 99%

Innovative Emerging Ontology-driven Frameworks: A Systematic Literature Review

Mokgetse,

Hlomani,

Sigwele

2023

IJEEI

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“…These attacks cost organizations a lot. In 2015, cyberattacks cost 3 trillion U.S. dollars worldwide, 5 trillion in 2017, and 6 trillion in 2021 [61][62][63][64][65][66][67][68]. Indeed, these figures highlight the critical impact of cyberattacks on organizational stability and sustainability.…”

Section: Cyber Security Threats In Educational Institutionsmentioning

confidence: 99%

Information Security Awareness in Sub-Saharan African Schools: The Role of Educational Leadership in Turbulent Times

N. Kabanda

2024

Leadership Studies in the Turbulent Business Eco-System [Working Title]

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The COVID-19 pandemic has influenced the increased adoption of digital tools in educational institutions across sub-Saharan Africa. The efficient flow of information within modern organizations heavily depends on using Information and Communication Technology (ICT). Like other organizations, the education sector has experienced a growth in the use of ICT, which has brought about potential threats to information security and users’ safety. In this regard, school leadership can play a pivotal role in ensuring information security by raising users’ awareness. Consequently, protecting school information systems and their users’ safety should be a top priority for school heads and other stakeholders. This paper aims to analyze different strategies school leadership can implement to raise information security awareness (ISA) among staff, teachers, and students and to develop a framework for sub-Saharan African schools considered newcomers in using information and communication technologies. This chapter focuses on the transformational leadership theory, the technology acceptance model (TAM), and the knowledge, attitude, behavior (KAB) model.

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“…Graph-based representations are mostly beneficial because they can portray the complex relationships between different entities involved in complex attacks; they can be used by scholars to model the propagation of malware through networks of targeted systems [11] [7]. Many scholars have tried to use knowledge representation techniques in many fields within cybersecurity; for instance, the study by some scholars [11][12][13] have reported the development of ontologies for cyberattacks' modelling on cyber supply chain systems, where these ontologies serve as a structured approach for depicting the relationships between the involved entities involved in the attacks. The nature of these cyber supply chain attacks can be understood via analysis of these ontologies.…”

Section: Previous Studiesmentioning

confidence: 99%

An Improved Knowledge Graph Representation for Ransomware Attacks Using LSTM-Based Named Entity Relation Technique and Twitter Data

Munshid

2024

jes

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This research aims to examine the challenges associated with ransomware knowledge and develop a knowledge graph of ransomware attacks utilizing Twitter data. Ransomware is a constantly evolving global threat. The three main steps involved in the development of a knowledge graph from informal text are data collection and preprocessing, features extraction, and relation extraction. A ransomware ontology previously proposed has been used in this work for the extraction of the ransomware entities from unstructured data; this is aimed at making it fit the attacks reported on Twitter. The next process is the identification of the existing relationships in the dataset for the knowledge graph construction; the output of the process, which is the developed knowledge graph is evaluated for accuracy using a tracing technique to demonstrate its efficacy.

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An ontology-driven framework for knowledge representation of digital extortion attacks

Cited by 16 publications

References 62 publications

Innovative Emerging Ontology-driven Frameworks: A Systematic Literature Review

Innovative Emerging Ontology-driven Frameworks: A Systematic Literature Review

Information Security Awareness in Sub-Saharan African Schools: The Role of Educational Leadership in Turbulent Times

An Improved Knowledge Graph Representation for Ransomware Attacks Using LSTM-Based Named Entity Relation Technique and Twitter Data

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