A Cybersecurity Situational Awareness and Information-sharing Solution for Local Public Administrations Based on Advanced Big Data Analysis: The CS-AWARE Project

Schaberreiter, Thomas; Röning, Juha; Quirchmayr, Gerald; Kupfersberger, Veronika; Wills, Chris J.; Bregonzio, Matteo; Koumpis, Adamantios; Sales, Juliano Efson; Vasiliu, Laurenţiu; Gammelgaard, Kim; Παπανικολάου, Αλέξανδρος; Rantos, Konstantinos; Spyros, Arnolt

doi:10.1201/9781003337492-8

Cited by 5 publications

(9 citation statements)

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“… Enhanced Data Fusion: Efforts are being made to integrate different forms of data, such as text, images, and audio, to achieve a more comprehensive understanding of the cyber environment [130].  Semantic Analysis: Technologies like NLP are being utilized to derive deeper insights from text data, enhancing the understanding of user behavior and potential threats [131].…”

Section: Multimodal Data Integrationmentioning

confidence: 99%

State-of-the-Art in Cyber Situational Awareness: A Comprehensive Review and Analysis

2024

KSII TIIS

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Section: Multimodal Data Integrationmentioning

confidence: 99%

State-of-the-Art in Cyber Situational Awareness: A Comprehensive Review and Analysis

2024

KSII TIIS

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“…The paper also highlights the potential of AI systems to automate many tasks, freeing up valuable time for IT personnel, and their ability to act quickly and accurately in response to threats. Incorporating the foundational insights from our base papers [1][2], we understand that the application of AI and ML in cybersecurity, as discussed in [3][4], is not just a technological upgrade but a paradigm shift in how we approach the detection and prevention of online terrorism. The integration of these technologies promises a more robust and responsive cybersecurity infrastructure capable of anticipating and mitigating threats in real-time.…”

Section: Background and Challengesmentioning

confidence: 99%

“…In conclusion, the data sources and feature engineering processes are foundational to the deployment of AI and ML in the detection of online terrorism. The insights from our base papers [1][2], along with the additional context from [3][4] [5][6] [7], provide a multifaceted view of how data is harnessed and optimized to train models that are both accurate and robust in identifying and preventing terrorist activities online.…”

Section: E Importance Of Feature Engineeringmentioning

confidence: 99%

“…The objectives of this paper are to review the current state of AI and ML in this domain, evaluate their effectiveness, and explore future directions for research and application. The CS-AWARE project [3] exemplifies the application of big data analysis for cybersecurity situational awareness within public administrations, aiming to automate the awareness process and enable system self-healing for specific threats. Similarly, the proposed system in [4] focuses on web mining to detect the online spread of terrorism, highlighting the use of data mining and text mining methods to scan and extract relevant data from unstructured web content.…”

Section: Introductionmentioning

confidence: 99%

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Advancing Counter-Terrorism: The Role of AI and ML in Detecting Online Threats

Karhale

2023

IJRASET

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This study investigates the use of Artificial Intelligence (AI) and Machine Learning (ML) in detecting online terrorism activities, addressing the challenge of effectively analyzing extremist content on digital platforms. Employing various AI and ML techniques, including supervised and unsupervised learning, deep learning, and data mining, the research evaluates their effectiveness in different scenarios. The findings indicate that these technologies are effective in processing large datasets to identify potential terrorist activities online, with varying levels of accuracy across different models. The paper concludes that AI and ML are valuable in counter-terrorism efforts, but highlight the need for ongoing research and development, as well as the importance of balancing security and privacy concerns.

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“…Thus, educational approaches that engage humans at both the individual and group/organizational level, to actively pursue good cyber defense cognitions and behaviors, will arguably make for a resilient organization in the face of emerging cyber threats. With the exception of very recent suggestions for holistic intervention approaches (Pirta-Dreimane et al, 2022;Schaberreiter et al, 2022), there is a general lack of studies and interventions that simultaneously target cybersecurity performance at both the individual and group level (Ask et al, 2021a).…”

Section: Introductionmentioning

confidence: 99%

Gamification as a neuroergonomic approach to improving interpersonal situational awareness in cyber defense

et al. 2023

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In cyber threat situations, the establishment of a shared situational awareness as a basis for cyber defense decision-making results from adequate communication of a Recognized Cyber Picture (RCP). RCPs consist of actively selected information and have the goal of accurately presenting the severity and potential consequences of the situation. RCPs must be communicated between individuals, but also between organizations, and often from technical to non−/less technical personnel. The communication of RCPs is subject to many challenges that may affect the transfer of critical information between individuals. There are currently no common best practices for training communication for shared situational awareness among cyber defense personnel. The Orient, Locate, Bridge (OLB) model is a pedagogic tool to improve communication between individuals during a cyber threat situation. According to the model, an individual must apply meta-cognitive awareness (O), perspective taking (L), and communication skills (B) to successfully communicate the RCP. Gamification (applying game elements to non-game contexts) has shown promise as an approach to learning. We propose a novel OLB-based Gamification design to improve dyadic communication for shared situational awareness among (technical and non-technical) individuals during a cyber threat situation. The design includes the Gamification elements of narrative, scoring, feedback, and judgment of self. The proposed concept contributes to the educational development of cyber operators from both military and civilian organizations responsible for defending and securing digital infrastructure. This is achieved by combining the elements of a novel communication model with Gamification in a context in urgent need for educational input.

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A Cybersecurity Situational Awareness and Information-sharing Solution for Local Public Administrations Based on Advanced Big Data Analysis: The CS-AWARE Project

Cited by 5 publications

References 0 publications

State-of-the-Art in Cyber Situational Awareness: A Comprehensive Review and Analysis

State-of-the-Art in Cyber Situational Awareness: A Comprehensive Review and Analysis

Advancing Counter-Terrorism: The Role of AI and ML in Detecting Online Threats

Gamification as a neuroergonomic approach to improving interpersonal situational awareness in cyber defense

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