XAI for cybersecurity: state of the art, challenges, open issues and future directions

G Srivastava, RH Jhaveri, S Bhattacharya… - arXiv preprint arXiv …, 2022 - arxiv.org
In the past few years, artificial intelligence (AI) techniques have been implemented in almost
all verticals of human life. However, the results generated from the AI models often lag …

Explainable artificial intelligence in cybersecurity: A survey

N Capuano, G Fenza, V Loia, C Stanzione - Ieee Access, 2022 - ieeexplore.ieee.org
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

Explainable artificial intelligence applications in cyber security: State-of-the-art in research

Z Zhang, H Al Hamadi, E Damiani, CY Yeun… - IEEE …, 2022 - ieeexplore.ieee.org
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …

A survey on explainable artificial intelligence for cybersecurity

G Rjoub, J Bentahar, OA Wahab… - … on Network and …, 2023 - ieeexplore.ieee.org
The “black-box” nature of artificial intelligence (AI) models has been the source of many
concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a …

Cybersecurity challenges in the age of AI: theoretical approaches and practical solutions

BT Familoni - Computer Science & IT Research Journal, 2024 - fepbl.com
In the ever-evolving landscape of cybersecurity, the proliferation of artificial intelligence (AI)
technologies introduces both promising advancements and daunting challenges. This paper …

Peeking inside the black-box: a survey on explainable artificial intelligence (XAI)

A Adadi, M Berrada - IEEE access, 2018 - ieeexplore.ieee.org
At the dawn of the fourth industrial revolution, we are witnessing a fast and widespread
adoption of artificial intelligence (AI) in our daily life, which contributes to accelerating the …

Explainable artificial intelligence for cybersecurity: a literature survey

F Charmet, HC Tanuwidjaja, S Ayoubi… - Annals of …, 2022 - Springer
With the extensive application of deep learning (DL) algorithms in recent years, eg, for
detecting Android malware or vulnerable source code, artificial intelligence (AI) and …

A review of trustworthy and explainable artificial intelligence (xai)

V Chamola, V Hassija, AR Sulthana, D Ghosh… - IEEe …, 2023 - ieeexplore.ieee.org
The advancement of Artificial Intelligence (AI) technology has accelerated the development
of several systems that are elicited from it. This boom has made the systems vulnerable to …

Recent advances in trustworthy explainable artificial intelligence: Status, challenges, and perspectives

A Rawal, J McCoy, DB Rawat… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) have come a long way from the earlier
days of conceptual theories, to being an integral part of today's technological society. Rapid …

Explainable AI over the Internet of Things (IoT): Overview, state-of-the-art and future directions

SK Jagatheesaperumal, QV Pham… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by
enhancing the trust of end-users in machines. As the number of connected devices keeps on …