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Malware Data Science
Malware Data Science
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€66.99
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A01=Hillary Sanders
A01=Joshua Saxe
Age Group_Uncategorized
Age Group_Uncategorized
Author_Hillary Sanders
Author_Joshua Saxe
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business
Category1=Non-Fiction
Category=UM
Category=URJ
cloud computing
computer
computer books
computer networking
computer networks
computer security
computers
COP=United States
cyber security
cyber security books
cybersecurity
data
data science
data visualization
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
hack
hacker
hackers
hacking
hacking books
information security
Language_English
machine learning
malware
malware analysis
math
network
network security
networking
PA=In stock
penetration test
penetration testing
Price_€50 to €100
privacy
problem solving
PS=Active
reverse engineering
security
social network analysis
softlaunch
statistics
tech
technology
US
Product details
- ISBN 9781593278595
- Weight: 622g
- Dimensions: 178 x 235mm
- Publication Date: 25 Sep 2018
- Publisher: No Starch Press,US
- Publication City/Country: US
- Product Form: Paperback
- Language: English
Security has become a 'big data' problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualisation, and shows you how to apply these methods to malware detection and analysis.
Joshua Saxe is Chief Data Scientist at major security vendor, Sophos, where he leads a security data science research team. He's also a principal inventor of Sophos' neural network-based malware detector, which defends tens of millions of Sophos customers from malware infections. Before joining Sophos, Joshua spent 5 years leading DARPA funded security data research projects for the US government.
Hillary Sanders leads the infrastructure data science team at Sophos, which develops the frameworks used to build Sophos' deep learning models. Before joining Sophos, Hillary created a recipe web app and spent three years as a data scientist at Premise Data Corporation.
Hillary Sanders leads the infrastructure data science team at Sophos, which develops the frameworks used to build Sophos' deep learning models. Before joining Sophos, Hillary created a recipe web app and spent three years as a data scientist at Premise Data Corporation.
Malware Data Science
€66.99
