Machine Learning and Security
Protecting Systems with Data and Algorithms
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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
Clarence Chio
Clarence Chio is an engineer and entrepreneur who has given talks, workshops, and training courses on machine learning and security at DEF CON and other security/software engineering conferences and meetups across more than a dozen countries. He was previously a member of the security research team at Shape Security, a community speaker with Intel, and a security consultant for Oracle. Clarence advises a handful of startups on security data science, and is the founder and organizer of the Data Mining for Cyber Security meetup group, the largest gathering of security data scientists in the San Francisco Bay area. He holds a BS and MS in computer science from Stanford University, specializing in data mining and artificial intelligence.
David Freeman
Born in 1942 into a military family, David Freeman was educated at Bristol Grammar School and commissioned into the Loyal North Lancashire Regiment in 1963. His thirty-year infantry career spanned Germany, Northern Ireland, Africa, Hong Kong, Cyprus, and Oman, where he served during the Dhofar Campaign. He later returned to Oman for eight years, deepening a lifelong bond with the Middle East.
A polyglot, he was a Russian interpreter and fluent in Arabic and he combined military precision with intellectual curiosity and a passion for history and political debate. In retirement he settled in the Olchon Valley, restoring a thirty-five-acre smallholding and indulging his enduring love of model railways.
Married in 1965, he had two sons, both commissioned. He died in 2016.
More by David Freeman
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