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Master a complete strategy for protecting any Azure cloud network environment! Network security is crucial to safely deploying and managing Azure cloud resources in any environment. Now, two of Microsoft's leading experts present a comprehensive, cloud-native approach to protecting your network, and safeguarding all your Azure systems and assets. Nicholas DiCola and Anthony Roman begin with a thoughtful overview of network security's role in the cloud. Next, they offer practical, real-world guidance on deploying cloud-native solutions for firewalling, DDOS, WAF, and other foundational services – all within a best-practice secure network architecture based on proven design patterns. Two of Microsoft's leading Azure network security experts show how to: Review Azure components and services for securing network infrastructure, and the threats to consider in using them Layer cloud security into a Zero Trust approach that helps limit or contain attacks Centrally direct and inspect traffic with the managed, stateful, Platform-as-a-Service Azure Firewall Improve visibility into Azure traffic with Deep Packet Inspection Optimize the way network and web application security work together Use Azure DDoS Protection (Basic and Standard) to mitigate Layer 3 (volumetric) and Layer 4 (protocol) DDoS attacks Enable log collection for Firewall, DDoS, WAF, and Bastion; and configure NSG Flow Logs and Traffic Analytics Continually monitor network security with Azure Sentinel, Security Center, and Network Watcher Customize queries, playbooks, workbooks, and alerts when Azure's robust out-of-the-box alerts and tools aren't enough Build and maintain secure architecture designs that scale smoothly to handle growing complexity About This Book For Security Operations (SecOps) analysts, cybersecurity/information security professionals, network security engineers, and other IT professionals For individuals with security responsibilities in any Azure environment, no matter how large, small, simple, or complex
Discover high-value Azure security insights, tips, and operational optimizations This book presents comprehensive Azure Security Center techniques for safeguarding cloud and hybrid environments. Leading Microsoft security and cloud experts Yuri Diogenes and Dr. Thomas Shinder show how to apply Azure Security Center’s full spectrum of features and capabilities to address protection, detection, and response in key operational scenarios. You’ll learn how to secure any Azure workload, and optimize virtually all facets of modern security, from policies and identity to incident response and risk management. Whatever your role in Azure security, you’ll learn how to save hours, days, or even weeks by solving problems in most efficient, reliable ways possible. Two of Microsoft’s leading cloud security experts show how to: • Assess the impact of cloud and hybrid environments on security, compliance, operations, data protection, and risk management • Master a new security paradigm for a world without traditional perimeters • Gain visibility and control to secure compute, network, storage, and application workloads • Incorporate Azure Security Center into your security operations center • Integrate Azure Security Center with Azure AD Identity Protection Center and third-party solutions • Adapt Azure Security Center’s built-in policies and definitions for your organization • Perform security assessments and implement Azure Security Center recommendations • Use incident response features to detect, investigate, and address threats • Create high-fidelity fusion alerts to focus attention on your most urgent security issues • Implement application whitelisting and just-in-time VM access • Monitor user behavior and access, and investigate compromised or misused credentials • Customize and perform operating system security baseline assessments • Leverage integrated threat intelligence to identify known bad actors
Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In this practical guide, security researcher Michael Collins shows you several techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to protect and improve it. Divided into three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. It’s ideal for network administrators and operational security analysts familiar with scripting. Explore network, host, and service sensors for capturing security data Store data traffic with relational databases, graph databases, Redis, and Hadoop Use SiLK, the R language, and other tools for analysis and visualization Detect unusual phenomena through Exploratory Data Analysis (EDA) Identify significant structures in networks with graph analysis Determine the traffic that’s crossing service ports in a network Examine traffic volume and behavior to spot DDoS and database raids Get a step-by-step process for network mapping and inventory
A must for working network and security professionals as well as anyone in IS seeking to build competence in the increasingly important field of security Written by three high-profile experts, including Eric Cole, an ex-CIA security guru who appears regularly on CNN and elsewhere in the media, and Ronald Krutz, a security pioneer who cowrote The CISSP Prep Guide and other security bestsellers Covers everything from basic security principles and practices to the latest security threats and responses, including proven methods for diagnosing network vulnerabilities and insider secrets for boosting security effectiveness
This book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24–25, 2021, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation. Scientists, engineers, academicians, technology developers, researchers, students and government officials will find this book useful in handling their complicated real-world issues by using machine intelligence methodologies.