Adaptive Internet Threat Forecasting

Intrusion Prevention Systems (IPS) plays a key role in safeguarding today’s data networks. The security effectiveness and performance of these systems are the primary concerns while deploying them inline. In this book we try to address these concerns by taking a pragmatic approach in benchmarking this current generation IPS’s using open source tools, techniques and methodology. This approach, we hope will help the network & security administrators to effectively and efficiently secure their corporate network saving their organization significant resources. The book also focuses on modeling an Intrusion Forecasting system(IFS)having the ability to forecast multiple internet threats. This is performed by integrating our benchmarked contemporary IPS solution into an architecture scheme based on honeynets. This model which will not only have the ability to act as an early threat warning system to internet security threats but also adapt and take preventive actions against them, hence effectively protecting corporate assets with very minimal manual intervention.In short, we hope that this book will lay a strong foundation for the evolution of next generation threat prevention products