Able to propagate quickly and change their payload with each infection, polymorphic worms have been able to evade even the most advanced intrusion detection systems (IDS). And, because zero-day worms require only seconds to launch flooding attacks on your servers, using traditional methods such as manually creating and storing signatures to defend against these threats is just too slow.
Bringing together critical knowledge and research on the subject, Automatic Defense Against Zero-day Polymorphic Worms in Communication Networks details a new approach for generating...

As the number of Internet-based consumer transactions continues to rise, the need to protect these transactions against hacking becomes more and more critical. An effective approach to securing information on the Internet is to analyze the signature of attacks in order to build a defensive strategy. This book explains how to accomplish this using honeypots and routers. It discusses honeypot concepts and architecture as well as the skills needed to deploy the best honeypot and router solutions for any network environment.

Honeypots and Routers: Collecting Internet Attacks...

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied.