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Prometheus : up & running : infrastructure and application performance monitoring
\"Get up to speed with Prometheus, the metrics-based monitoring system used by tens of thousands of organisations in production. This practical guide provides application developers, sysadmins, and DevOps practitioners with a hands-on introduction to the important aspects of Prometheus, including infrastructure and application monitoring, dashboarding and alerting, direct code instrumentation, and metric collection from thrid-party systems with exporters.\"--Back cover.
Book
Mastering Wireshark 2
Use Wireshark 2 to overcome real-world network problemsAbout This Book• Delve into the core functionalities of the latest version of Wireshark• Master network security skills with Wireshark 2• Efficiently find the root cause of network-related issuesWho This Book Is ForIf you are a security professional or a network enthusiast and are interested in understanding the internal working of networks, and if you have some prior knowledge of using Wireshark, then this book is for you.What You Will Learn• Understand what network and protocol analysis is and how it can help you• Use Wireshark to capture packets in your network• Filter captured traffic to only show what you need• Explore useful statistic displays to make it easier to diagnose issues• Customize Wireshark to your own specifications• Analyze common network and network application protocolsIn DetailWireshark, a combination of a Linux distro (Kali) and an open source security framework (Metasploit), is a popular and powerful tool. Wireshark is mainly used to analyze the bits and bytes that flow through a network. It efficiently deals with the second to the seventh layer of network protocols, and the analysis made is presented in a form that can be easily read by people.Mastering Wireshark 2 helps you gain expertise in securing your network. We start with installing and setting up Wireshark2.0, and then explore its interface in order to understand all of its functionalities. As you progress through the chapters, you will discover different ways to create, use, capture, and display filters. By halfway through the book, you will have mastered Wireshark features, analyzed different layers of the network protocol, and searched for anomalies. You'll learn about plugins and APIs in depth. Finally, the book focuses on pocket analysis for security tasks, command-line utilities, and tools that manage trace files.By the end of the book, you'll have learned how to use Wireshark for network security analysis and configured it for troubleshooting purposes.Style and approachThis step-by-step guide on Wireshark 2 starts with capturing and filtering traffic and follows with analysis and statistics, as well as all the new features of Wireshark 2.
eBook
From Prognostics and Health Systems Management to Predictive Maintenance 1
This book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life.
eBook
Mastering Wireshark 2
Mastering Wireshark 2 takes you on a practical journey into the world of network analysis and security troubleshooting. With step-by-step instructions, learn how to install and effectively use Wireshark version 2, explore packet capturing and filtering techniques, and analyze network protocol behaviors. What this Book will help me do Understand and utilize the core functionalities of Wireshark 2 for network analysis. Efficiently capture and filter network traffic to diagnose issues. Leverage Wireshark's analysis tools for clear and concise data interpretation. Customize Wireshark's environment to match individual needs and preferences. Gain the ability to analyze and secure modern networks by applying learned techniques. Author(s) Andrew Crouthamel is a seasoned network analyst and educator with extensive experience in IT infrastructure and security. With a passion for teaching, he brings practical applications of Wireshark to professionals. Andrew's approach is focused on giving readers actionable insights for real-world scenarios. Who is it for? This book is ideal for network security professionals and enthusiastic learners who aim to understand network functioning and enhance their troubleshooting skills. Readers are expected to have basic familiarity with Wireshark or similar network analysis tools. By bridging current knowledge gaps, you will equip yourself with the skills needed for analyzing and securing networks.
eBook
Wireshark 2 Quick Start Guide
Protect your network as you move from the basics of the Wireshark scenarios to detecting and resolving network anomalies. Key Features * Learn protocol analysis, optimization and troubleshooting using Wireshark, an open source tool * Learn the usage of filtering and statistical tools to ease your troubleshooting job * Quickly perform root-cause analysis over your network in an event of network failure or a security breach Book Description Wireshark is an open source protocol analyser, commonly used among the network and security professionals. Currently being developed and maintained by volunteer contributions of networking experts from all over the globe. Wireshark is mainly used to analyze network traffic, analyse network issues, analyse protocol behaviour, etc. - it lets you see what's going on in your network at a granular level. This book takes you from the basics of the Wireshark environment to detecting and resolving network anomalies. This book will start from the basics of setting up your Wireshark environment and will walk you through the fundamentals of networking and packet analysis. As you make your way through the chapters, you will discover different ways to analyse network traffic through creation and usage of filters and statistical features. You will look at network security packet analysis, command-line utilities, and other advanced tools that will come in handy when working with day-to-day network operations. By the end of this book, you have enough skill with Wireshark 2 to overcome real-world network challenges. What you will learn * Learn how TCP/IP works * Install Wireshark and understand its GUI * Creation and Usage of Filters to ease analysis process * Understand the usual and unusual behaviour of Protocols * Troubleshoot network anomalies quickly with help of Wireshark * Use Wireshark as a diagnostic tool for network security analysis to identify source of malware * Decrypting wireless traffic * Resolve latencies and bottleneck issues in the network Who this book is for If you are a security professional or a network enthusiast who is interested in understanding the internal working of networks and packets, then this book is for you. No prior knowledge of Wireshark is needed.
eBook
Virtual monitoring method for computer network security in earth observation communication using multi ant colony random walk classification algorithm
Traditional computer network security monitoring methods face problems such as relying on static rules, high false alarm rates, and lack of real-time performance. This study successfully implemented an efficient virtual monitoring method for computer network security by introducing a multi-ant colony random walk classification algorithm. Firstly, this article adopted multi-ant colony initialization. Each ant represents a monitoring node and collects network data comprehensively and efficiently through random walks. Secondly, ants randomly roam the network, collect real-time data, and extract key network traffic characteristics, such as traffic size, source, destination, etc. Through the collaborative work of multiple ant colonies, information sharing has been achieved and the ability to obtain global information in the network has been improved. This article combined machine learning classifiers and ant colony algorithms to establish a powerful monitoring system, successfully distinguishing different types of network traffic and improving network security. The computer network security virtual monitoring method based on a multi ant colony random walk classification algorithm performs well in performance evaluation. Based on the experimental results of the test set, this method has achieved high levels of precision (92%), recall (93.75%), accuracy (96.15%), and F1 Score (94.94%) performance indicators, successfully addressing the high false alarm rate and poor real-time performance of traditional methods.
Journal Article
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data to train DL frameworks. Usually, manual labeling is needed to provide labeled data, which typically involves human annotators with a vast background of knowledge. This annotation process is costly, time-consuming, and error-prone. Usually, every DL framework is fed by a significant amount of labeled data to automatically learn representations. Ultimately, a larger amount of data would generate a better DL model and its performance is also application dependent. This issue is the main barrier for many applications dismissing the use of DL. Having sufficient data is the first step toward any successful and trustworthy DL application. This paper presents a holistic survey on state-of-the-art techniques to deal with training DL models to overcome three challenges including small, imbalanced datasets, and lack of generalization. This survey starts by listing the learning techniques. Next, the types of DL architectures are introduced. After that, state-of-the-art solutions to address the issue of lack of training data are listed, such as Transfer Learning (TL), Self-Supervised Learning (SSL), Generative Adversarial Networks (GANs), Model Architecture (MA), Physics-Informed Neural Network (PINN), and Deep Synthetic Minority Oversampling Technique (DeepSMOTE). Then, these solutions were followed by some related tips about data acquisition needed prior to training purposes, as well as recommendations for ensuring the trustworthiness of the training dataset. The survey ends with a list of applications that suffer from data scarcity, several alternatives are proposed in order to generate more data in each application including Electromagnetic Imaging (EMI), Civil Structural Health Monitoring, Medical imaging, Meteorology, Wireless Communications, Fluid Mechanics, Microelectromechanical system, and Cybersecurity. To the best of the authors’ knowledge, this is the first review that offers a comprehensive overview on strategies to tackle data scarcity in DL.
Journal Article