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15.3 MB
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6CAF903A0ED0D60983D80E72F71D2F59D14DEFB0
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June 16, 2025, 2:29 p.m.
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(Last updated: June 16, 2025, 2:30 p.m.)
| File | Size |
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| ['Ouaissa M. Information Security Governance using Artificial Intelligence...2025.pdf'] | 0 bytes |
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23.5 MB
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2024-11-17
| Uploaded by indexFroggy | Size 23.5 MB | Health [ 22 /5 ] | Added 2024-11-17 |
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15.3 MB
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2025-06-16
| Uploaded by andryold1 | Size 15.3 MB | Health [ 50 /30 ] | Added 2025-06-16 |
NOTE
SOURCE: Ouaissa M. Information Security Governance using Artificial Intelligence...2025
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COVER
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MEDIAINFO
Textbook in PDF format The book explores the integration of Artificial Intelligence (AI) with the Internet of Things (IoT) to address security challenges in smart environments. It delves into how AI enhances the governance of information security by automating processes, detecting threats, and ensuring the protection of data in interconnected IoT systems. It covers theoretical foundations, practical frameworks, and case studies, offering insights into securing smart cities, homes, industries, and healthcare systems. It emphasizes governance models that leverage AI to manage security policies and risk in dynamic, data-driven ecosystems. The book focuses on the study and application of AI of Things in the field of information security governance. Intelligent environments, characterized by increasing connectivity of devices and systems, present unique challenges for information security. The use of AI of Things offers opportunities to enhance security in these complex environments. This book addresses a crucial area as intelligent environments become increasingly prevalent. It aims to include case studies or simulations of real implementations of AI of Things in intelligent environments to illustrate its effectiveness and challenges. In addition, it provides practical guidelines and recommendations for the successful integration of AI of Things into information security governance, in order to strengthen data protection and system resilience in these complex environments. While AI and IoT are two completely different categories of technologies, their application in security has synergies. AI equips systems with the characteristic of analyzing large volumes of data while learning from them and making predictions about possible risks. Some of these include machine learning to identify the outliers, natural language processing to understand language as well as computer vision in making decisions. However, IoT acts as a platform of connectivity where a large number of connected devices and sensors are integrated to generate a meshing network. IoT devices gather and forward fresh data, and an active stream of information is then provided to the AI algorithms which then analyze data to detect and prevent risks. Both AI and IoT complement each other to ensure simple device security as well as enhance the requisite network security against enhanced cyber threats. Preface Foundations of artificial intelligence and IoT in security: A pillar for modern security governance AIoT and the governance of security: Strategies for trust and accountability Information security threats in IoT smart environments Governance frameworks for artificial intelligence of things (AIoT) security AI-enhanced threat detection and response framework for advanced cyber-physical smart ecosystems Network security governance framework for cloud-integrated IoT systems Enhancing urban safety: AI-driven security solutions for smart cities AIoT security in healthcare systems: Challenges, opportunities, and future directions AIoT security for healthcare: Enabling trust in smart medical devices Securing healthcare with AIoT: Navigating the future of medicine in intelligent ecosystems AI and IoT in smart healthcare: Transforming patient care and enhancing security Fortifying Industrial IoT (IIoT): Leveraging AI for optimizing security The AI shield: Enhancing the security in Industrial IoT
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