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Titlebook: Artificial Intelligence for Security; Enhancing Protection Tuomo Sipola,Janne Alatalo,Tero Kokkonen Book 2024 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 19:03:41 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence for Security
期刊簡稱Enhancing Protection
影響因子2023Tuomo Sipola,Janne Alatalo,Tero Kokkonen
視頻videohttp://file.papertrans.cn/168/167585/167585.mp4
發(fā)行地址Provides an in-depth overview of AI methodology in the security context.Covers domains such as small enterprises, logistics, smart grid, software security and mobile networks.Discusses‘AI for cybersec
圖書封面Titlebook: Artificial Intelligence for Security; Enhancing Protection Tuomo Sipola,Janne Alatalo,Tero Kokkonen Book 2024 The Editor(s) (if applicable)
影響因子.This book discusses the use of artificial intelligence (AI) for security purposes. It is divided into three parts: methodological fundamentals of AI, use of AI for critical infrastructure protection and anomaly detection. The first section describes the latest knowledge for creating safe AIs and using them to enhance protection. This book also presents various domains and examples of AI-driven security. The chapters describe potential methods, demonstrate use cases and discuss the challenges of the evolving field. This includes topics such as defensive use of AI to detect threats. It discusses the offensive use of AI to better understand the future threat landscape, the use of AI for automation in critical infrastructure and overall challenges of AI usage for critical tasks.?..As new threats emerge, the use of AI technologies to protect the world one lives in is topical. New technologies in this space have advanced rapidly, and subsequently, their use in enhancing protection is an evident development. To this effect, this book brings together a group of international researchers and professionals who present their views on how to create security through AI.?..This book targets pos
Pindex Book 2024
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https://doi.org/10.1007/978-1-4419-9356-4ncreasingly difficult to distinguish whether we are dealing with real, human-generated content or fictitious works. Nevertheless, these developments show the possibilities that artificial intelligence offers and new potential applications for companies and society. The challenges of our time, such a
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Empirical examination of comprehensibilityeoretical, and relational proof of privacy, which makes it important to understand the actual behavior of the DP-based protection models. For this purpose, we will review what kind of frameworks or models are available to estimate how well an implemented differential privacy model works. Special att
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https://doi.org/10.57088/978-3-7929-9120-6ate and apply knowledge. Within this context, knowledge acquisition and creation take precedence over the mere generation and consumption of information. Information technology and intelligent software systems play a crucial role in ensuring the efficiency of knowledge discovery, aligning with the k
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