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Titlebook: Decision Making and Security Risk Management for IoT Environments; Wadii Boulila,Jawad Ahmad,Imed Riadh Farah Book 2024 The Editor(s) (if

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書目名稱Decision Making and Security Risk Management for IoT Environments
編輯Wadii Boulila,Jawad Ahmad,Imed Riadh Farah
視頻videohttp://file.papertrans.cn/265/264215/264215.mp4
概述A comprehensive review for security and privacy-preserving in IoT and IIoT environments.Presents new machine/deep learning-based approaches to secure decision-making in IoT environments.Introduces rea
叢書名稱Advances in Information Security
圖書封面Titlebook: Decision Making and Security Risk Management for IoT Environments;  Wadii Boulila,Jawad Ahmad,Imed Riadh Farah Book 2024 The Editor(s) (if
描述This book contains contemporary research that outlines and addresses security, privacy challenges and decision-making in IoT environments. The authors provide a variety of subjects related to the following Keywords: IoT, security, AI, deep learning, federated learning, intrusion detection systems, and distributed computing paradigms. This book also offers a collection of the most up-to-date research, providing a complete overview of security and privacy-preserving in IoT environments. It introduces new approaches based on machine learning that tackles security challenges and? provides the field with new research material that’s not covered in the primary literature.?.The Internet of Things (IoT) refers to a network of tiny devices linked to the Internet or other communication networks. IoT is gaining popularity, because it opens up new possibilities for developing many modern applications. This would include smart cities, smart agriculture, innovative healthcare services and more. The worldwide IoT market surpassed $100 billion in sales for the first time in 2017, and forecasts show that this number might reach $1.6 trillion by 2025. However, as IoT devices grow more widespread, th
出版日期Book 2024
關(guān)鍵詞Security and Privacy; Privacy-Preserving; Intrusion Detection Systems; IoT; Machine Learning; Deep Learni
版次1
doihttps://doi.org/10.1007/978-3-031-47590-0
isbn_softcover978-3-031-47592-4
isbn_ebook978-3-031-47590-0Series ISSN 1568-2633 Series E-ISSN 2512-2193
issn_series 1568-2633
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Cybersecurity Challenges and Implications for the Adoption of Cloud Computing and IoT: DDoS Attacksabling broad access to distributed shared IT resources. Although sharing IT resources is an essential cloud computing characteristic, it has brought many security challenges for both users and service providers. Security is one of the main issues why many users and enterprises are reluctant to migra
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Intrusion Detection Systems Using Machine Learning,ection system is to successfully detect intrusions within a network and to trigger alerts to system administrators. Machine learning is a method of detecting patterns in sets of data in order that such patterns can be recognised in new unseen data. This method can be employed by intrusion detection
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Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan,esults to fill the gap between local scale surface weather with regional atmospheric predictors. The world is toward the hotter side; the reason is natural variability or activities of humans. Temperature readings all over the globe rose slowly and gradually since the industrial revolution started.
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