CyberSecurity Summary episodes:

• November 27, 2024Elsevier's Dictionary of Information Security

  The Elsevier’s Dictionary of Information Security is a comprehensive reference tool that defines common terms used in the field of information security. The dictionary includes definitions in English, German, French, and Russian, and covers a wide range of topics related to information security, including hardware, software, data, telecommunications, network security, threats and attacks, malware, cryptography, and corporate security procedures. The dictionary aims to support both general audiences and industry experts in understanding and implementing information security measures. The dictionary also includes a language index, allowing for cross-translation of terms between the four included languages.
  
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• November 27, 2024DevOps and Containers Security: Security and Monitoring in Docker Containers

  The Book is a book excerpt about DevOps and container security. The book focuses on providing a practical and theoretical understanding of Docker containers and Kubernetes clustering, specifically in terms of security, monitoring, and administration. It covers topics like securing Docker hosts, analyzing vulnerabilities in Docker images, Kubernetes security, Docker networking concepts, and container monitoring. Additionally, the excerpt introduces tools like Rancher and Portainer for managing Docker environments and emphasizes the importance of incorporating security considerations into DevOps practices.
  
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• November 27, 2024DevOps Troubleshooting: Linux Server Best Practices

  The provided Book comes from the book "DevOps Troubleshooting Linux Server Best Practices," which aims to equip developers and QA professionals in DevOps environments with the skills and knowledge to effectively troubleshoot Linux server issues. The book covers a variety of common server problems, from high load to network connectivity issues and database performance, with a focus on practical troubleshooting techniques and best practices. It emphasizes the importance of effective communication, documentation, and understanding system fundamentals for successful problem solving in a collaborative DevOps setting.
  
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• November 27, 2024Designing Secure Software: A Guide for Developers

  The Book provide guidance on designing and building secure software. The text focuses on building a security mindset and applying this mindset to the entire software development process, from design to coding. The sources also outline specific security threats and vulnerabilities and offer mitigation strategies to address them. The text emphasizes the importance of understanding how attackers think and how to build software with security as a core design principle.
  
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• November 27, 2024Designing BSD Rootkits: An Introduction to Kernel Hacking

  "Designing BSD Rootkits" is a tutorial for programmers interested in learning about kernel-mode rootkits. It explains how to write rootkits that maintain root access after gaining access to a computer, using the FreeBSD operating system as a platform. The book focuses on techniques like hooking system calls, manipulating kernel objects directly, and patching kernel memory, while emphasizing the importance of synchronization and security considerations. Although the book teaches offensive techniques, it aims to educate readers on both offensive and defensive strategies, ultimately encouraging readers to explore and experiment with the FreeBSD kernel.
  
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• November 27, 2024Deployment CISCO SD-WAN LAB ON EVE-NG

  This Book describes the process of building a Cisco SD-WAN lab using EVE-NG, a network simulation platform. The document details the software requirements, the deployment of different Cisco SD-WAN components like vManage, vBond, vSmart, and vEdge, and the configuration steps for setting up a secure and functional network topology. The document also includes templates for configuring controllers and WAN edges and provides step-by-step instructions for setting up the SD-WAN lab environment.
  
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• November 27, 2024Demystifying Intelligent Multimode Security Systems

  This excerpt from Demystifying.Intelligent.Multimode.Security.Systems.pdf focuses on the increasing complexity and security needs of intelligent multimodal security systems (IMSS). The document discusses the evolution of IMSS, highlighting how the integration of machine learning (ML) has brought both advantages and challenges. It explores the importance of a robust cybersecurity framework, particularly for protecting sensitive data assets like video streams, analytics models, and training data. The text further examines global policy and standards related to AI and ML, discussing the need for ethical and trustworthy systems, particularly within the context of privacy regulations like GDPR. Finally, the excerpt outlines practical solutions and best practices for safeguarding IMSS systems, including secure boot chains, encryption, and secure execution environments.
  
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• November 27, 2024Demystified Object-Oriented Programming with C++

  This Book, Demystified Object-Oriented Programming with C++, serves as a comprehensive guide to object-oriented programming (OOP) in C++. It covers a wide range of topics, beginning with fundamental C++ language features and gradually progressing to advanced concepts like inheritance, polymorphism, abstract classes, multiple inheritance, and design patterns. The text is well-structured, featuring clear explanations, practical examples, and assessments throughout. By using this book, readers will develop a thorough understanding of C++ OOP principles, learn how to build robust software, and acquire valuable skills for professional programming in C++.
  
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• November 26, 2024DDoS Attacks: Evolution, Detection, Prevention, Reaction, and Tolerance

  This Book, DDoS Attacks: Evolution, Detection, Prevention, Reaction, and Tolerance, focuses on the multifaceted threat of distributed denial-of-service (DDoS) attacks on computer networks. The authors explain the history of DDoS attacks, explore different attack types, investigate botnet technologies used to carry out these attacks, and deeply examine various methods for detecting, preventing, responding to, and mitigating these attacks. The text also includes detailed discussions of various machine learning techniques applied in DDoS defense, analyzes the effectiveness of different proximity measures, and presents a taxonomy of relevant network security tools, along with descriptions and comparisons of their features. The book concludes with a comprehensive look at research challenges and future directions for safeguarding networks against the ever-evolving threat of DDoS attacks.
  
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• November 26, 2024Data Science Projects with Python - Second Edition

  The Book provide a comprehensive guide to data science with Python, focusing on machine learning techniques for building predictive models. The book covers data exploration, cleaning, and visualization, along with core functionalities of scikit-learn for training and evaluating models. It delves into the details of logistic regression, including its assumptions and limitations, and explores techniques for handling issues such as overfitting and multicollinearity. The text then introduces decision trees and random forests, highlighting their advantages and disadvantages, and provides guidance on hyperparameter tuning using techniques like GridSearchCV. The final chapter focuses on gradient boosting and XGBoost, showcasing its power and demonstrating how to interpret model predictions using SHAP values. The sources also include activities and exercises for hands-on learning and real-world applications using the case study data.
  
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