Explainable Artificial Intelligence for Cybersecurity

Sharon Femi, P.; Ashwini, K.; Kala, A.; Rajalakshmi, V.

doi:10.1002/9781119910619.ch7

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2024

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Cited by 3 publications

References 23 publications

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A Deep and Systematic Review of the Intrusion Detection Systems Based on Machine Learning and Deep Learning Techniques

N K,

Ravindran,

et al. 2024

2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS)

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A Deep and Systematic Review of the Intrusion Detection Systems Based on Machine Learning and Deep Learning Techniques

N K,

Ravindran,

et al. 2024

2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS)

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A Comprehensive Survey of Intrusion Detection System Using Machine Learning and Deep Learning Approaches

Abhiram,

Muthusamy,

Ravindran

et al. 2024

2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS)

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Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications

Hamida,

Chowdhury,

Chakraborty

et al. 2024

BDCC

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Artificial intelligence (AI) encompasses the development of systems that perform tasks typically requiring human intelligence, such as reasoning and learning. Despite its widespread use, AI often raises trust issues due to the opacity of its decision-making processes. This challenge has led to the development of explainable artificial intelligence (XAI), which aims to enhance user understanding and trust by providing clear explanations of AI decisions and processes. This paper reviews existing XAI research, focusing on its application in the healthcare sector, particularly in medical and medicinal contexts. Our analysis is organized around key properties of XAI—understandability, comprehensibility, transparency, interpretability, and explainability—providing a comprehensive overview of XAI techniques and their practical implications.

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Explainable Artificial Intelligence for Cybersecurity

Cited by 3 publications

References 23 publications

A Deep and Systematic Review of the Intrusion Detection Systems Based on Machine Learning and Deep Learning Techniques

A Deep and Systematic Review of the Intrusion Detection Systems Based on Machine Learning and Deep Learning Techniques

A Comprehensive Survey of Intrusion Detection System Using Machine Learning and Deep Learning Approaches

Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications

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