Mechanism to protect the physical boundary of organization where the private and public networks encounter
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Parth Gautam
Abstract
With the increasing connectivity and reliance on digital networks, organizations face a growing challenge in protecting their physical boundaries where private and public networks intersect. This study explores the mechanisms that organizations can employ to safeguard these boundaries, considering the unique security risks associated with the convergence of private and public networks. The chapter discusses various approaches including network segmentation, access control, intrusion prevention, and physical security measures. By understanding and implementing these mechanisms effectively, organizations can enhance their overall security posture and mitigate potential threats.
Abstract
With the increasing connectivity and reliance on digital networks, organizations face a growing challenge in protecting their physical boundaries where private and public networks intersect. This study explores the mechanisms that organizations can employ to safeguard these boundaries, considering the unique security risks associated with the convergence of private and public networks. The chapter discusses various approaches including network segmentation, access control, intrusion prevention, and physical security measures. By understanding and implementing these mechanisms effectively, organizations can enhance their overall security posture and mitigate potential threats.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- Machine learning-enabled techniques for speech categorization 1
- Comprehensive study of cybersecurity issues and challenges 21
- An energy-efficient FPGA-based implementation of AES algorithm using HSTL IO standards for new digital age technologies 41
- A comparative study on security issues and clustering of wireless sensor networks 55
- Heuristic approach and its application to solve NP-complete traveling salesman problem 69
- Assessment of fake news detection from machine learning and deep learning techniques 87
- Spam mail detection various machine learning methods and their comparisons 119
- Cybersecurity threats in modern digital world 137
- Mechanism to protect the physical boundary of organization where the private and public networks encounter 149
- By combining binary search and insertion sort, a sorting method for small input size 167
- Index 179
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- Machine learning-enabled techniques for speech categorization 1
- Comprehensive study of cybersecurity issues and challenges 21
- An energy-efficient FPGA-based implementation of AES algorithm using HSTL IO standards for new digital age technologies 41
- A comparative study on security issues and clustering of wireless sensor networks 55
- Heuristic approach and its application to solve NP-complete traveling salesman problem 69
- Assessment of fake news detection from machine learning and deep learning techniques 87
- Spam mail detection various machine learning methods and their comparisons 119
- Cybersecurity threats in modern digital world 137
- Mechanism to protect the physical boundary of organization where the private and public networks encounter 149
- By combining binary search and insertion sort, a sorting method for small input size 167
- Index 179
