书目名称 | Handbook of Big Data and IoT Security | 编辑 | Ali Dehghantanha,Kim-Kwang Raymond Choo | 视频video | http://file.papertrans.cn/421/420875/420875.mp4 | 概述 | Provides a unique and interdisciplinary view to security challenge in both IoT and Big Data platforms.Covers all aspects of system defense from attack detection to prevention and analysis.Offers foren | 图书封面 |  | 描述 | .This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an IoT forensic framework is also presented in this book, and it explains how the IoT forensic framework can be used to guide investigation of a popular cloud storage service.. A distributed file system forensic approach is also presented, which is used to guide the investigation of Ceph. Minecraft, a Massively Multiplayer Online Game, and the Hadoop distributed file system environment are also forensically studied and their findings reported in this book. A forensic IoT source camera identification algorithm is introduced, which uses the camera‘s sensor pattern noise from the captured image.. In addition to the IoT access control and forensic frameworks, this handbook covers a cyber defense triage process for nine advanced persistent threat (APT) groups targeting IoT infrastructure, namely: APT1, Molerats, Silent Chollima, Shell Crew, NetTraveler, Pro | 出版日期 | Book 2019 | 关键词 | big data security; IoT security; cyber threat intelligence; cyber threat hunting; cyber security; digital | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-10543-3 | isbn_ebook | 978-3-030-10543-3 | copyright | Springer Nature Switzerland AG 2019 |
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