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Become a Cisco security specialist by developing your skills in network security and explore advanced security technologies About This Book Enhance your skills in network security by learning about Cisco's device configuration and installation Unlock the practical aspects of CCNA security to secure your devices Explore tips and tricks to help you achieve the CCNA Security 210-260 Certification Who This Book Is For CCNA Security 210-260 Certification Guide can help you become a network security engineer, a cyber security professional, or a security administrator. You should have valid CCENT or CCNA Routing and Switching certification before taking your CCNA Security exam. What You Will Learn Grasp the fundamentals of network security Configure routing protocols to secure network devices Mitigate different styles of security attacks using Cisco devices Explore the different types of firewall technologies Discover the Cisco ASA functionality and gain insights into some advanced ASA configurations Implement IPS on a Cisco device and understand the concept of endpoint security In Detail With CCNA Security certification, a network professional can demonstrate the skills required to develop security infrastructure, recognize threats and vulnerabilities to networks, and mitigate security threats. The CCNA Security 210-260 Certification Guide will help you grasp the fundamentals of network security and prepare you for the Cisco CCNA Security Certification exam. You'll begin by getting a grip on the fundamentals of network security and exploring the different tools available. Then, you'll see how to securely manage your network devices by implementing the AAA framework and configuring different management plane protocols. Next, you'll learn about security on the data link layer by implementing various security toolkits. You'll be introduced to various firewall technologies and will understand how to configure a zone-based firewall on a Cisco IOS device. You'll configure a site-to-site VPN on a Cisco device and get familiar with different types of VPNs and configurations. Finally, you'll delve into the concepts of IPS and endpoint security to secure your organization's network infrastructure. By the end of this book, you'll be ready to take the CCNA Security Exam (210-260). Style and approach This book is a step-by-step certification guide that ensures you secure organization's network and also helps you in clearing this certification. The practical aspe...

Network analysis (Planning)

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Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective covers a broad range of concepts and methods, with a strong emphasis on interdisciplinarity. The topics range from analyzing mathematical properties of network-based methods to applying them to application areas. By covering this broad range of topics, the book aims to fill a gap in the contemporary literature in disciplines such as physics, applied mathematics and information sciences.

Network analysis (Planning)

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Due to the growing need to process large graph and network datasets created by modern applications, recent years have witnessed a surging interest in developing big graph platforms. Tens of such big graph systems have already been developed, but there lacks a systematic categorization and comparison of these systems. This article provides a timely and comprehensive survey of existing big graph systems, and summarizes their key ideas and technical contributions from various aspects. In addition to the popular vertex-centric systems which espouse a think-like-a-vertex paradigm for developing parallel graph applications, this survey also covers other programming and computation models, contrasts those against each other, and provides a vision for the future research on big graph analytics platforms. This survey aims to help readers get a systematic picture of the landscape of recent big graph systems, focusing not just on the systems themselves, but also on the key innovations and design philosophies underlying them.

Network analysis (Planning)

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Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among the others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences.

Network analysis (Planning)

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The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in recent years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyse network data on an unprecendented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social science. This text brings together the most important breakthroughts in each of these fields and presents them in a unified fashion, highlighting the strong interconnections between work in different areas.

System analysis. --- Network analysis (Planning)