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This book constitutes the refereed proceedings of five workshops that were held in conjunction with the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2021, in Delhi, India, in May 2021. The 17 revised full papers presented were carefully reviewed and selected from a total of 39 submissions.. The five workshops were as follows: Workshop on Smart and Precise Agriculture (WSPA 2021) PAKDD 2021 Workshop on Machine Learning for Measurement Informatics (MLMEIN 2021) The First Workshop and Shared Task on Scope Detection of the Peer Review Articles (SDPRA 2021) The First International Workshop on Data Assessment and Readiness for AI (DARAI 2021) The First International Workshop on Artificial Intelligence for Enterprise Process Transformation (AI4EPT 2021).

Artificial intelligence. --- Computers. --- Data mining. --- Information storage and retrieval. --- Optical data processing. --- Application software. --- Artificial Intelligence. --- Computing Milieux. --- Data Mining and Knowledge Discovery. --- Information Storage and Retrieval. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Computer Applications. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical equipment

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Enhance your skills as a cloud investigator to adeptly respond to cloud incidents by combining traditional forensic techniques with innovative approaches Key Features Uncover the steps involved in cloud forensic investigations for M365 and Google Workspace Explore tools and logs available within AWS, Azure, and Google for cloud investigations Learn how to investigate containerized services such as Kubernetes and Docker Purchase of the print or Kindle book includes a free PDF eBook Book Description As organizations embrace cloud-centric environments, it becomes imperative for security professionals to master the skills of effective cloud investigation. Cloud Forensics Demystified addresses this pressing need, explaining how to use cloud-native tools and logs together with traditional digital forensic techniques for a thorough cloud investigation. The book begins by giving you an overview of cloud services, followed by a detailed exploration of the tools and techniques used to investigate popular cloud platforms such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP). Progressing through the chapters, you'll learn how to investigate Microsoft 365, Google Workspace, and containerized environments such as Kubernetes. Throughout, the chapters emphasize the significance of the cloud, explaining which tools and logs need to be enabled for investigative purposes and demonstrating how to integrate them with traditional digital forensic tools and techniques to respond to cloud security incidents. By the end of this book, you'll be well-equipped to handle security breaches in cloud-based environments and have a comprehensive understanding of the essential cloud-based logs vital to your investigations. This knowledge will enable you to swiftly acquire and scrutinize artifacts of interest in cloud security incidents. What you will learn Explore the essential tools and logs for your cloud investigation Master the overall incident response process and approach Familiarize yourself with the MITRE ATT&CK framework for the cloud Get to grips with live forensic analysis and threat hunting in the cloud Learn about cloud evidence acquisition for offline analysis Analyze compromised Kubernetes containers Employ automated tools to collect logs from M365 Who this book is for This book is for cybersecurity professionals, incident responders, and IT professionals adapting to the paradigm shift toward cloud-centric environments. Anyone seeking a comprehensive guide to investigating security incidents in popular cloud platforms such as AWS, Azure, and GCP, as well as Microsoft 365, Google Workspace, and containerized environments like Kubernetes will find this book useful. Whether you're a seasoned professional or a newcomer to cloud security, this book offers insights and practical knowledge to enable you to handle and secure cloud-based infrastructure.

Artificial intelligence. --- Computational intelligence. --- Computer crimes --- Forensic sciences --- Cloud computing. --- Information storage and retrieval systems. --- Investigation. --- Data processing.