Machine Learning Approaches in Cyber Security Analytics Machine Learning Approaches in Cyber Security Analytics

Machine Learning Approaches in Cyber Security Analytics

토니 토마스 및 다른 저자
    • US$129.99
    • US$129.99

출판사 설명

This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and identify cyber attacks. 

장르
컴퓨터 및 인터넷
출시일
2019년
12월 16일
언어
EN
영어
길이
220
페이지
출판사
Springer Nature Singapore
판매자
Springer Nature B.V.
크기
32.4
MB
Neural Information Processing Neural Information Processing
2018년
Machine Learning for Cyber Security Machine Learning for Cyber Security
2023년
Machine Learning and Big Data Machine Learning and Big Data
2020년
Intelligent Information Processing IX Intelligent Information Processing IX
2018년
Machine Learning for Cyber Security Machine Learning for Cyber Security
2023년
Soft Computing in Data Science Soft Computing in Data Science
2018년
Music for the Movies, 2nd Edition Music for the Movies, 2nd Edition
1997년
The Zombie Proof Fence The Zombie Proof Fence
2017년
An American Dream An American Dream
2011년
Best of Universal Best of Universal
1997년
The Algorithm Prison The Algorithm Prison
2025년
Making Money with Music Making Money with Music
2025년