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Serverless Web Applications with AWS Amplify - Akshat Paul - Bog - APress - Plusbog.dk

Tactical Wireshark - Kevin Cardwell - Bog - APress - Plusbog.dk

Tactical Wireshark - Kevin Cardwell - Bog - APress - Plusbog.dk

Take a systematic approach at identifying intrusions that range from the most basic to the most sophisticated, using Wireshark, an open source protocol analyzer. This book will show you how to effectively manipulate and monitor different conversations and perform statistical analysis of these conversations to identify the IP and TCP information of interest. Next, you''ll be walked through a review of the different methods malware uses, from inception through the spread across and compromise of a network of machines. The process from the initial "click" through intrusion, the characteristics of Command and Control (C2), and the different types of lateral movement will be detailed at the packet level. In the final part of the book, you''ll explore the network capture file and identification of data for a potential forensics extraction, including inherent capabilities for the extraction of objects such as file data and other corresponding components in support of a forensics investigation. After completing this book, you will have a complete understanding of the process of carving files from raw PCAP data within the Wireshark tool. What You Will Learn - Use Wireshark to identify intrusions into a network - Exercise methods to uncover network data even when it is in encrypted form - Analyze malware Command and Control (C2) communications and identify IOCs - Extract data in a forensically sound manner to support investigations - Leverage capture file statistics to reconstruct network events Who This Book Is For Network analysts, Wireshark analysts, and digital forensic analysts.

DKK 519.00
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Learn Data Science Using SAS Studio - Engy Fouda - Bog - APress - Plusbog.dk

Learn Data Science Using SAS Studio - Engy Fouda - Bog - APress - Plusbog.dk

Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web browser-based product for educational and non-commercial purposes. The power of SAS Studio comes from its visual point-and-click user interface that generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks. The book includes a case study about analyzing the data required for predicting the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples including analyzing stocks, oil and gold prices, crime, marketing, and healthcare. You will see data science in action and how easy it is to perform complicated tasks and visualizations in SAS Studio. You will learn, step-by-step, how to do visualizations, including maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks. The book introduces you to multiple SAS products such as SAS Viya, SAS Analytics, and SAS Visual Statistics. What You Will Learn - Become familiar with SAS Studio IDE - Understand essential visualizations - Know the fundamental statistical analysis required in most data science and analytics reports - Clean the most common data set problems - Use linear progression for data prediction - Write programs in SAS - Get introduced to SAS-Viya, which is more potent than SAS studio Who This Book Is For A general audience of people who are new to data science, students, and data analysts and scientists who are experienced but new to SAS. No programming or in-depth statistics knowledge is needed.

DKK 476.00
1