BOOKS - NETWORK TECHNOLOGIES - Data Science for Cyber-Security
Data Science for Cyber-Security - Nick Heard, Niall Adams, Patrick Rubin-Delanchy 2019 PDF World Scientific Publishing BOOKS NETWORK TECHNOLOGIES
ECO~15 kg CO²

1 TON

Views
79595

Telegram
 
Data Science for Cyber-Security
Author: Nick Heard, Niall Adams, Patrick Rubin-Delanchy
Year: 2019
Pages: 305
Format: PDF
File size: 20.4 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Data Science and Machine Learning Interview Questions Using R Crack the Data Scientist and Machine Learning Engineers Interviews with Ease
Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022): Volume 1 (Lecture Notes on Data Engineering and Communications Technologies Book 170)
Python Programming 2 Books in 1 Python for Data Analysis and Science with Big Data Analysis, Statistics and Machine Learning
Reproducible Data Science with Pachyderm: Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
Data Security in Cloud Computing, Volume I
Trust, Security and Privacy for Big Data
The Metrics Manifesto Confronting Security with Data
Intelligent Systems Modeling and Simulation III Artificial Intelligent, Machine Learning, Intelligent Functions and Cyber Security
Introduction To Cyber Forensic Psychology Understanding The Mind Of The Cyber Deviant Perpetrators
Inside Cyber Warfare Mapping the Cyber Underworld, 3rd Edition
Cybersecurity - Protecting Critical Infrastructures from Cyber Attack and Cyber Warfare
Countering Cyber Sabotage Introducing Consequence-Driven, Cyber-Informed Engineering (CCE)
Combatting Cyber Terrorism : A guide to understanding the cyber threat landscape and incident response
Harboring Data: Information Security, Law, and the Corporation
Identity and Data Security for Web Development Best Practices
Collaborative Cyber Threat Intelligence Detecting and Responding to Advanced Cyber Attacks on National Level
Combatting Cyber Terrorism A guide to understanding the cyber threat landscape and incident response planning
Understand, Manage, and Measure Cyber Risk: Practical Solutions for Creating a Sustainable Cyber Program
Combatting Cyber Terrorism A guide to understanding the cyber threat landscape and incident response planning
Python for Data Analysis A Complete Crash Course on Python for Data Science to Learn Essential Tools and Python Libraries, NumPy, Pandas, Jupyter Notebook, Analysis and Visualization
Federated Learning for Multimedia Data Processing and Security in Industry 5.0
Securing the Cloud Security Strategies for the Ubiquitous Data Center
AI for Big Data-Based Engineering Applications from Security Perspectives
Blockchain-Based Data Security in Heterogeneous Communications Networks
Fraud Prevention, Confidentiality, and Data Security for Modern Businesses
Network Security Through Data Analysis Building Situational Awareness
Fraud Prevention, Confidentiality, and Data Security for Modern Businesses
Data-Centric Security in Software Defined Networks (SDN)
Security and Privacy for Big Data, Cloud Computing and Applications
Data-Centric Security in Software Defined Networks (SDN)
Blockchain-Based Data Security in Heterogeneous Communications Networks
Cyber Victimology Decoding Cyber Crime Victimization
Cyber Enigma Unravelling the Terror in the Cyber World
Advances in Engineering and Information Science Toward Smart City and Beyond (Engineering Cyber-Physical Systems and Critical Infrastructures, 5)
Machine Learning and Cryptographic Solutions for Data Protection and Network Security
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
R for Data Science