Handbook of Big Data Analytics and ForensicsКНИГИ » ОС И БД
Название: Handbook of Big Data Analytics and Forensics Автор: Kim-Kwang Raymond Choo, Ali Dehghantanha Издательство: Springer Год: 2021 Формат: PDF Страниц: 288 Размер: 10 Mb Язык: English
This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics. The second chapter comprehensively reviews IoT security, privacy, and forensics literature, focusing on IoT and unmanned aerial vehicles (UAVs). The authors propose a deep learning-based approach to process cloud’s log data and mitigate enumeration attacks in the third chapter. The fourth chapter proposes a robust fuzzy learning model to protect IT-based infrastructure against advanced persistent threat (APT) campaigns. Advanced and fair clustering approach for industrial data, which is capable of training with huge volume of data in a close to linear time is introduced in the fifth chapter, as well as offering an adaptive deep learning model to detect cyberattacks targeting cyber physical systems (CPS) covered in the sixth chapter.
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Handbook of Big Data Analytics and Forensics 
