BOOKS - Data-Centric Security in Software Defined Networks (SDN)
Data-Centric Security in Software Defined Networks (SDN) - Marek Amanowicz, Sebastian Szwaczyk, Konrad Wrona 2024 PDF | EPUB Springer BOOKS
ECO~12 kg CO²

1 TON

Views
62052

Telegram
 
Data-Centric Security in Software Defined Networks (SDN)
Author: Marek Amanowicz, Sebastian Szwaczyk, Konrad Wrona
Year: 2024
Pages: 133
Format: PDF | EPUB
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Deep Learning at Scale At the Intersection of Hardware, Software, and Data (Third Early Release)
Deep Learning at Scale At the Intersection of Hardware, Software, and Data (Final Release)
Deep Learning at Scale At the Intersection of Hardware, Software, and Data (Third Early Release)
Hacking and Securing iOS Applications Stealing Data, Hijacking Software, and How to Prevent It
Deciphering Data Architectures Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Deciphering Data Architectures Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Data Communications and Computer Networks A Business User|s Approach, 8th Edition
An Introduction to Spatial Data Analysis Remote Sensing and GIS with Open Source Software
Docker Tutorial for Beginners: Learn Programming, Containers, Data Structures, Software Engineering, and Coding
Data Science for Cyber-Security
Find It Fast, 6th Edition Extracting Expert Information from Social Networks, Big Data, Tweets, and More
Proceedings of Data Analytics and Management: ICDAM 2022 (Lecture Notes in Networks and Systems Book 572)
Service-Oriented Computing and System Integration Software, IoT, Big Data, and AI as Services 8th Edition
Recent Advances in Data and Algorithms for e-Government (Artificial Intelligence-Enhanced Software and Systems Engineering Book 5)
Software Engineering Research in System Science: Proceedings of 12th Computer Science On-line Conference 2023, Volume 1 (Lecture Notes in Networks and Systems Book 722)
Sustainable Communication Networks and Application: Proceedings of ICSCN 2020 (Lecture Notes on Data Engineering and Communications Technologies, 55)
The Metrics Manifesto Confronting Security with Data
Trust, Security and Privacy for Big Data
Data Security in Cloud Computing, Volume I
Data Plane Development Kit (DPDK) A Software Optimization Guide to the User Space-Based Network Applications
Research Software Engineering: A Guide to the Open Source Ecosystem (Chapman and Hall CRC Data Science Series)
The Python Bible 7 in 1 Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)
Harboring Data: Information Security, Law, and the Corporation
Identity and Data Security for Web Development Best Practices
Industrial Network Security Securing Critical Infrastructure Networks for Smart Grid, SCADA, and Other Industrial Control
Fraud Prevention, Confidentiality, and Data Security for Modern Businesses
Algorithms Big Data, Optimization Techniques, Cyber Security
Federated Learning for Multimedia Data Processing and Security in Industry 5.0
AI for Big Data-Based Engineering Applications from Security Perspectives
Algorithms Big Data, Optimization Techniques, Cyber Security
Securing the Cloud Security Strategies for the Ubiquitous Data Center
Fraud Prevention, Confidentiality, and Data Security for Modern Businesses
Network Security Through Data Analysis Building Situational Awareness
Security and Privacy for Big Data, Cloud Computing and Applications
Neural Networks and Deep Learning Neural Networks & Deep Learning, Deep Learning, Big Data
Industrial Network Security Securing Critical Infrastructure Networks for Smart Grid, SCADA, and Other Industrial Control Systems, Third Edition
Industrial Network Security Securing Critical Infrastructure Networks for Smart Grid, SCADA, and Other Industrial Control Systems, Third Edition
Machine Learning and Cryptographic Solutions for Data Protection and Network Security
Protecting Privacy in Data Release (Advances in Information Security Book 57)
Machine Learning and Cryptographic Solutions for Data Protection and Network Security