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Security and Privacy for Modern Networks [electronic resource] : Strategies and Insights for Safeguarding Digital Infrastructures / by Seshagirirao Lekkala, Priyanka Gurijala.

By: Contributor(s): Material type: TextPublisher: Berkeley, CA : Apress : Imprint: Apress, 2024Edition: 1st ed. 2024Description: XXII, 245 p. 4 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9798868808234
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:
  • QA76.9.A25
Online resources:
Contents:
Chapter 1: Introduction to Modern network Systems -- Chapter 2: Building Blocks of Network Security -- Chapter 3: Navigating the Cyber Threat Landscape -- Chapter 4: Cryptography: The Backbone of Secure Communications.
In: Springer Nature eBookSummary: This book reviews how to safeguard digital network infrastructures, emphasizing on the latest trends in cybersecurity. It addresses the evolution of network systems, AI-driven threat detection, and defense mechanisms, while also preparing readers for future technological impacts on security. This concise resource is essential to understanding and implementing advanced cyber defense strategies in an AI-integrated world. Readers are provided with methods and tips on how to evaluate the efficacy, suitability, and success of cybersecurity methods and AI/machine learning applications to safeguard their networks. Case studies are included; with examples of how security gaps have led to security breaches and how the methods discussed in the book would help combat these. This book is intended for those who wish to understand the latest trends in network security. It provides an exploration of how AI is revolutionizing cyber defense, offering readers from various fields including insights into strengthening security strategies. With its detailed content, the book empowers its audience to navigate complex regulations and effectively protect against a landscape of evolving cyber threats, ensuring they are well-equipped to maintain robust security postures within their respective sectors. What You Will Learn: The transformative role AI plays in enhancing network security, including threat detection, pattern recognition, and automated response strategies. Cutting-edge security protocols, encryption techniques, and the deployment of multi-layered defense systems for robust network protection. Insights into vulnerability assessments, risk analysis, and proactive measures to prevent and mitigate cyber threats in modern network environments. Who This Book is for: IT professionals and network administrators, cybersecurity specialists and analysts, students and researchers in computer science or cybersecurity programs, corporate decision-makers and C-level executives responsible for overseeing their organizations' security posture. Also security architects and engineers designing secure network infrastructures, government and defense agency personnel tasked with protecting national and organizational cyber assets. Finally technology enthusiasts and hobbyists with a keen interest in cybersecurity trends and AI developments and professionals in regulatory and compliance roles requiring an understanding of cybersecurity challenges and solutions.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Chapter 1: Introduction to Modern network Systems -- Chapter 2: Building Blocks of Network Security -- Chapter 3: Navigating the Cyber Threat Landscape -- Chapter 4: Cryptography: The Backbone of Secure Communications.

This book reviews how to safeguard digital network infrastructures, emphasizing on the latest trends in cybersecurity. It addresses the evolution of network systems, AI-driven threat detection, and defense mechanisms, while also preparing readers for future technological impacts on security. This concise resource is essential to understanding and implementing advanced cyber defense strategies in an AI-integrated world. Readers are provided with methods and tips on how to evaluate the efficacy, suitability, and success of cybersecurity methods and AI/machine learning applications to safeguard their networks. Case studies are included; with examples of how security gaps have led to security breaches and how the methods discussed in the book would help combat these. This book is intended for those who wish to understand the latest trends in network security. It provides an exploration of how AI is revolutionizing cyber defense, offering readers from various fields including insights into strengthening security strategies. With its detailed content, the book empowers its audience to navigate complex regulations and effectively protect against a landscape of evolving cyber threats, ensuring they are well-equipped to maintain robust security postures within their respective sectors. What You Will Learn: The transformative role AI plays in enhancing network security, including threat detection, pattern recognition, and automated response strategies. Cutting-edge security protocols, encryption techniques, and the deployment of multi-layered defense systems for robust network protection. Insights into vulnerability assessments, risk analysis, and proactive measures to prevent and mitigate cyber threats in modern network environments. Who This Book is for: IT professionals and network administrators, cybersecurity specialists and analysts, students and researchers in computer science or cybersecurity programs, corporate decision-makers and C-level executives responsible for overseeing their organizations' security posture. Also security architects and engineers designing secure network infrastructures, government and defense agency personnel tasked with protecting national and organizational cyber assets. Finally technology enthusiasts and hobbyists with a keen interest in cybersecurity trends and AI developments and professionals in regulatory and compliance roles requiring an understanding of cybersecurity challenges and solutions.

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