Cases on Machine Learning and Digital Forensic Approaches in Cybersecurity
5% Pre Publication Discount available until one month after release.

Cases on Machine Learning and Digital Forensic Approaches in Cybersecurity

Deepak Mane (Tata Consultancy Services, Australia)
Pages: 300|DOI: 10.4018/978-1-7998-8512-2
ISBN13: 9781799885122|ISBN10: 1799885127|EISBN13: 9781799885146|ISBN13 Softcover: 9781799885139
Hardcover:
Forthcoming
$213.75
List Price: $225.00
5% Discount:-$11.25
TOTAL SAVINGS: $11.25
Benefits
  • Free shipping on orders $295+
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • 50% discount on 5+ titles*
E-Book:
(Multi-User License)
Forthcoming
$213.75
List Price: $225.00
5% Discount:-$11.25
TOTAL SAVINGS: $11.25
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
  • 50% discount on 5+ titles*
Hardcover +
E-Book:
(Multi-User License)
Forthcoming
$256.50
List Price: $270.00
5% Discount:-$13.50
TOTAL SAVINGS: $13.50
Benefits
  • Free shipping on orders $295+
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
  • 50% discount on 5+ titles*
Softcover:
Forthcoming
$161.50
List Price: $170.00
5% Discount:-$8.50
TOTAL SAVINGS: $8.50
Benefits
  • Free shipping on orders $295+
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • 50% discount on 5+ titles*

Description

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. 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.

In today’s digital technology cyber attacks become more frequent and advanced. In these types of attacks large of amounts of data are generated and transfer from one device to other devices using a network. Cyber security experts are spending more time analyzing and transformationing data into meaningful information. Today’s cybersecurity technology relies heavily on machine learning. At the same time, it’s impossible to effectively deploy machine learning without a comprehensive, rich and complete approach to the underlying data.

With machine learning, cybersecurity systems can analyze patterns and learn from them to help prevent similar attacks and respond to changing behavior. It can help cybersecurity teams be more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. Machine learning is about developing patterns and manipulating those patterns with algorithms. In order to develop patterns, you need a lot of rich data because the data needs to represent as many potential outcomes from as many potential scenarios as possible. This book provide information about various algorithms, tools, and techniques that use machine learning in cyber security and ways to prevent future attacks. This book covers different types of case studies from software/cyber security industries.

Table of Contents and List of Contributors

Search this Book:
Reset