|
|
Showing 1 - 1 of
1 matches in All Departments
Can machine learning techniques solve our computer security
problems and finally put an end to the cat-and-mouse game between
attackers and defenders? Or is this hope merely hype? Now you can
dive into the science and answer this question for yourself. With
this practical guide, you’ll explore ways to apply machine
learning to security issues such as intrusion detection, malware
classification, and network analysis. Machine learning and security
specialists Clarence Chio and David Freeman provide a framework for
discussing the marriage of these two fields, as well as a toolkit
of machine-learning algorithms that you can apply to an array of
security problems. This book is ideal for security engineers and
data scientists alike. Learn how machine learning has contributed
to the success of modern spam filters Quickly detect anomalies,
including breaches, fraud, and impending system failure Conduct
malware analysis by extracting useful information from computer
binaries Uncover attackers within the network by finding patterns
inside datasets Examine how attackers exploit consumer-facing
websites and app functionality Translate your machine learning
algorithms from the lab to production Understand the threat
attackers pose to machine learning solutions
|
You may like...
Morbius
Jared Leto, Matt Smith, …
DVD
R374
R210
Discovery Miles 2 100
Loot
Nadine Gordimer
Paperback
(2)
R367
R340
Discovery Miles 3 400
Loot
Nadine Gordimer
Paperback
(2)
R367
R340
Discovery Miles 3 400
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.