This paper engages in a comprehensive investigation concerning the application of Explainable Artificial Intelligence (xAI) within the context of deep learning and Artificial Intelligence, with a specific focus on its implications for cybersecurity. Firstly, the paper gives an overview of xAI techniques and their significance and benefits when applied in cybersecurity. Subsequently, the authors methodically delineate their systematic mapping study, which serves as an investigative tool for discerning the potential trajectory of the field. This strategic methodological framework lets one identify the future research directions and opportunities that underlie the integration of xAI within the realm of Deep Learning, Artificial Intelligence, and cybersecurity, which are described in-depth. Then, the paper brings together all the gathered insights from this extensive investigation and closes with final conclusions.

中文翻译：

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通过系统分析获得高级见解：绘制网络安全中深度学习和人工智能领域 xAI 的未来研究方向和机遇


本文对深度学习和人工智能背景下的可解释人工智能（xAI）应用进行了全面调查，特别关注其对网络安全的影响。首先，本文概述了 xAI 技术及其在网络安全中应用的意义和好处。随后，作者系统地描绘了他们的系统绘图研究，该研究作为识别该领域潜在轨迹的调查工具。这一战略方法框架让人们能够确定 xAI 在深度学习、人工智能和网络安全领域整合的未来研究方向和机会，并对其进行了深入描述。然后，本文汇集了这次广泛调查中收集到的所有见解，并得出最终结论。