Modern Approach To A Secured Distributed Network
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Modern Approach to a Secured Distributed Network
In "Modern Approach to a Secured Distributed Networks," readers embark on an enlightening journey through the cutting-edge realms of modern networking architecture, exploring the transformative technologies of Software-Defined Wide Area Networking (SD-WAN) and centralised Security Points of Presence (PoPs). Authored by Ian Loe, this guide illuminates the multifaceted benefits and best practices associated with transitioning from traditional networking paradigms to secured distributed networks for the business stakeholders. Through insightful analysis and practical guidance, readers discover how SD-WAN revolutionises network connectivity by leveraging cost-effective broadband internet links, enhancing agility, and optimising performance across distributed environments. Furthermore, the integration of centralised Security PoPs fortifies network defences, consolidating advanced security functionalities to ensure consistent threat detection and mitigation. For business leaders seeking to enhance their organisation's security posture, this book offers invaluable insights and strategies for navigating the complexities of modern networking. Whether delving into the nuances of traffic optimisation or exploring the intricacies of threat intelligence and compliance management, this book equips readers with the knowledge and tools necessary to embrace the future of secure, resilient, and agile network infrastructures. Embark on a transformative journey towards modernised networking architectures, unlock the potential of SD-WAN and centralised Security PoPs, and safeguard your organisation against the ever-evolving threat landscape with a Secured Distributed Network.
Modern Approaches in IoT and Machine Learning for Cyber Security
Author: Vinit Kumar Gunjan
language: en
Publisher: Springer Nature
Release Date: 2023-12-07
This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.
Modern Approaches in Applied Intelligence
Author: Kishan G. Mehrotra
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-06-17
The two volume set LNAI 6703 and LNAI 6704 constitutes the thoroughly refereed conference proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, held in Syracuse, NY, USA, in June/July 2011. The total of 92 papers selected for the proceedings were carefully reviewed and selected from 206 submissions. The papers cover a wide number of topics including feature extraction, discretization, clustering, classification, diagnosis, data refinement, neural networks, genetic algorithms, learning classifier systems, Bayesian and probabilistic methods, image processing, robotics, navigation, optimization, scheduling, routing, game theory and agents, cognition, emotion, and beliefs.