Can I read Machine Learning and Data Mining for Computer Security: Methods and Applications (Advanced Information and Knowledge Processing) on EtoBox?

Machine Learning and Data Mining for Computer Security: Methods and Applications (Advanced Information and Knowledge Processing) by Marcus A. Maloof (auth.), Marcus A. Maloof BS, MS, PhD (eds.) is a nonfiction available to read on EtoBox.

What is Machine Learning and Data Mining for Computer Security: Methods and Applications (Advanced Information and Knowledge Processing) about?

The Internet began as a private network connecting government, military, and academic researchers. As such, there was little need for secure protocols, encrypted packets, and hardened servers. When the creation of the World Wide Web unexpectedly ushered in the age of the commercial Internet, the network's size and subsequent rapid expansion made it impossible retroactively to apply secure mechanisms. The Internet's architects never coined terms such as **spam**, **phishing**, **zombies**, and **spyware**, but they are terms and phenomena we now encounter constantly. Programming detectors for such threats has proven difficult. Put simply, there is too much information---too many protocols, too many layers, too many applications, and too many uses of these applications---for anyone to make sufficient sense of it all. Ironically, given this wealth of information, there is also too little information about what is important for detecting attacks. Methods of machine learning and data mining can help build better detectors from massive amounts of complex data. Such methods can also help discover the information required to build more secure systems. For some problems in computer security

Who reads Machine Learning and Data Mining for Computer Security: Methods and Applications (Advanced Information and Knowledge Processing)?

Author

Marcus A. Maloof (auth.), Marcus A. Maloof BS, MS, PhD (eds.)

Publisher

Springer-Verlag London

Published

2006

Language

EN

ISBN

9781849965446

Category

nonfiction

Subjects

Computer Science, Business, Science